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//                For Open Source Computer Vision Library
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#include "test_precomp.hpp"

namespace opencv_test { namespace {

inline void verify_size(const std::string &nm, const cv::Mat &img)
{
    EXPECT_NO_THROW(imshow(nm, img));
    EXPECT_EQ(-1, waitKey(500));
    Rect rc;
    EXPECT_NO_THROW(rc = getWindowImageRect(nm));
    EXPECT_EQ(rc.size(), img.size());
}

#if !defined HAVE_GTK && !defined HAVE_QT && !defined HAVE_WIN32UI && !defined HAVE_COCOA
TEST(Highgui_GUI, DISABLED_regression)
#else
TEST(Highgui_GUI, regression)
#endif
{
    const std::string window_name("opencv_highgui_test_window");
    const cv::Size image_size(800, 600);

    EXPECT_NO_THROW(destroyAllWindows());
    ASSERT_NO_THROW(namedWindow(window_name));
    const vector<int> channels = {1, 3, 4};
    const vector<int> depths = {CV_8U, CV_8S, CV_16U, CV_16S, CV_32F, CV_64F};
    for(int cn : channels)
    {
        SCOPED_TRACE(cn);
        for(int depth : depths)
        {
            SCOPED_TRACE(depth);
            double min_val = 0.;
            double max_val = 256.;
            switch(depth)
            {
            case CV_8S:
                min_val = static_cast<double>(-0x7F);
                max_val = static_cast<double>(0x7F + 1);
                break;
            case CV_16S:
                min_val = static_cast<double>(-0x7FFF);
                max_val = static_cast<double>(0x7FFF + 1);
                break;
            case CV_16U:
                max_val = static_cast<double>(0xFFFF + 1);
                break;
            case CV_32F:
            case CV_64F:
                max_val = 1.0;
                break;
            }
            Mat m = cvtest::randomMat(TS::ptr()->get_rng(), image_size, CV_MAKE_TYPE(depth, cn), min_val, max_val, false);
            verify_size(window_name, m);

            Mat bgr(image_size, CV_MAKE_TYPE(depth, cn));
            int b_g = image_size.width / 3, g_r = b_g * 2;
            if (cn > 1)
            {
                bgr.colRange(0, b_g).setTo(cv::Scalar(max_val, min_val, min_val));
                bgr.colRange(b_g, g_r).setTo(cv::Scalar(min_val, max_val, min_val));
                bgr.colRange(g_r, image_size.width).setTo(cv::Scalar(min_val, min_val, max_val));
            }
            else
            {
                bgr.colRange(0, b_g).setTo(cv::Scalar::all(min_val));
                bgr.colRange(b_g, g_r).setTo(cv::Scalar::all((min_val + max_val) / 2));
                bgr.colRange(g_r, image_size.width).setTo(cv::Scalar::all(max_val));
            }
            verify_size(window_name, bgr);
        }
    }
    EXPECT_NO_THROW(destroyAllWindows());
}

//==================================================================================================

static void Foo(int, void* counter)
{
    if (counter)
    {
        int *counter_int = static_cast<int*>(counter);
        (*counter_int)++;
    }
}

#if !defined HAVE_GTK && !defined HAVE_QT && !defined HAVE_WIN32UI
// && !defined HAVE_COCOA - TODO: fails on Mac?
TEST(Highgui_GUI, DISABLED_trackbar)
#else
TEST(Highgui_GUI, trackbar)
#endif
{
    int value = 50;
    int callback_count = 0;
    const std::string window_name("trackbar_test_window");
    const std::string trackbar_name("trackbar");

    EXPECT_NO_THROW(destroyAllWindows());
    ASSERT_NO_THROW(namedWindow(window_name));
    EXPECT_EQ((int)1, createTrackbar(trackbar_name, window_name, &value, 100, Foo, &callback_count));
    EXPECT_EQ(value, getTrackbarPos(trackbar_name, window_name));
    EXPECT_EQ(0, callback_count);
    EXPECT_NO_THROW(setTrackbarPos(trackbar_name, window_name, 90));
    EXPECT_EQ(1, callback_count);
    EXPECT_EQ(90, value);
    EXPECT_EQ(90, getTrackbarPos(trackbar_name, window_name));
    EXPECT_NO_THROW(destroyAllWindows());
}

}} // namespace