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#include "test_precomp.hpp"

using namespace cv;
using namespace cv::gpu;
using namespace std;

struct CV_GpuMulSpectrumsTest: cvtest::BaseTest
{
    CV_GpuMulSpectrumsTest() {}

    void run(int)
    {
        test(0);
        testConj(0);
        testScaled(0);
        testScaledConj(0);
        test(DFT_ROWS);
        testConj(DFT_ROWS);
        testScaled(DFT_ROWS);
        testScaledConj(DFT_ROWS);
    }

    void gen(int cols, int rows, Mat& mat)
    {
        RNG rng;
        mat.create(rows, cols, CV_32FC2);
        rng.fill(mat, RNG::UNIFORM, Scalar::all(0.f), Scalar::all(10.f));
    }

    bool cmp(const Mat& gold, const Mat& mine, float max_err=1e-3f)
    {
        if (gold.size() != mine.size())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad sizes: gold: %d d%, mine: %d %d\n", gold.cols, gold.rows, mine.cols, mine.rows);
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }
        if (gold.type() != mine.type())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad types: gold=%d, mine=%d\n", gold.type(), mine.type());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }
        for (int i = 0; i < gold.rows; ++i)
        {
            for (int j = 0; j < gold.cols * 2; ++j)
            {
                float gold_ = gold.at<float>(i, j);
                float mine_ = mine.at<float>(i, j);
                if (fabs(gold_ - mine_) > max_err)
                {
                    ts->printf(cvtest::TS::CONSOLE, "bad values at %d %d: gold=%f, mine=%f\n", j, i, gold_, mine_);
                    ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
                    return false;
                }
            }
        }
        return true;
    }

    bool cmpScaled(const Mat& gold, const Mat& mine, float scale, float max_err=1e-3f)
    {
        if (gold.size() != mine.size())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad sizes: gold: %d d%, mine: %d %d\n", gold.cols, gold.rows, mine.cols, mine.rows);
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }
        if (gold.type() != mine.type())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad types: gold=%d, mine=%d\n", gold.type(), mine.type());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }
        for (int i = 0; i < gold.rows; ++i)
        {
            for (int j = 0; j < gold.cols * 2; ++j)
            {
                float gold_ = gold.at<float>(i, j) * scale;
                float mine_ = mine.at<float>(i, j);
                if (fabs(gold_ - mine_) > max_err)
                {
                    ts->printf(cvtest::TS::CONSOLE, "bad values at %d %d: gold=%f, mine=%f\n", j, i, gold_, mine_);
                    ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
                    return false;
                }
            }
        }
        return true;
    }

    void test(int flags)
    {
        int cols = 1 + rand() % 100, rows = 1 + rand() % 1000;

        Mat a, b;
        gen(cols, rows, a);
        gen(cols, rows, b);

        Mat c_gold;
        mulSpectrums(a, b, c_gold, flags, false);

        GpuMat d_c;
        mulSpectrums(GpuMat(a), GpuMat(b), d_c, flags, false);

        if (!cmp(c_gold, Mat(d_c)))
            ts->printf(cvtest::TS::CONSOLE, "test failed: cols=%d, rows=%d, flags=%d\n", cols, rows, flags);
    }

    void testConj(int flags)
    {
        int cols = 1 + rand() % 100, rows = 1 + rand() % 1000;

        Mat a, b;
        gen(cols, rows, a);
        gen(cols, rows, b);

        Mat c_gold;
        mulSpectrums(a, b, c_gold, flags, true);

        GpuMat d_c;
        mulSpectrums(GpuMat(a), GpuMat(b), d_c, flags, true);

        if (!cmp(c_gold, Mat(d_c)))
            ts->printf(cvtest::TS::CONSOLE, "testConj failed: cols=%d, rows=%d, flags=%d\n", cols, rows, flags);
    }

    void testScaled(int flags)
    {
        int cols = 1 + rand() % 100, rows = 1 + rand() % 1000;

        Mat a, b;
        gen(cols, rows, a);
        gen(cols, rows, b);
        float scale = 1.f / a.size().area();

        Mat c_gold;
        mulSpectrums(a, b, c_gold, flags, false);

        GpuMat d_c;
        mulAndScaleSpectrums(GpuMat(a), GpuMat(b), d_c, flags, scale, false);

        if (!cmpScaled(c_gold, Mat(d_c), scale))
            ts->printf(cvtest::TS::CONSOLE, "testScaled failed: cols=%d, rows=%d, flags=%d\n", cols, rows, flags);
    }

    void testScaledConj(int flags)
    {
        int cols = 1 + rand() % 100, rows = 1 + rand() % 1000;

        Mat a, b;
        gen(cols, rows, a);
        gen(cols, rows, b);
        float scale = 1.f / a.size().area();

        Mat c_gold;
        mulSpectrums(a, b, c_gold, flags, true);

        GpuMat d_c;
        mulAndScaleSpectrums(GpuMat(a), GpuMat(b), d_c, flags, scale, true);

        if (!cmpScaled(c_gold, Mat(d_c), scale))
            ts->printf(cvtest::TS::CONSOLE, "testScaledConj failed: cols=%d, rows=%d, flags=%D\n", cols, rows, flags);
    }
} CV_GpuMulSpectrumsTest_inst;


struct CV_GpuDftTest: cvtest::BaseTest
{
    CV_GpuDftTest() {}

    void run(int)
    {
        srand(0);
        int cols = 2 + rand() % 100, rows = 2 + rand() % 100;

        for (int i = 0; i < 2; ++i)
        {
            bool inplace = i != 0;
            testC2C("no flags", cols, rows, 0, inplace);
            testC2C("no flags 0 1", cols, rows + 1, 0, inplace);
            testC2C("no flags 1 0", cols, rows + 1, 0, inplace);
            testC2C("no flags 1 1", cols + 1, rows, 0, inplace);
            testC2C("DFT_INVERSE", cols, rows, DFT_INVERSE, inplace);
            testC2C("DFT_ROWS", cols, rows, DFT_ROWS, inplace);
            testC2C("single col", 1, rows, 0, inplace);
            testC2C("single row", cols, 1, 0, inplace);
            testC2C("single col inversed", 1, rows, DFT_INVERSE, inplace);
            testC2C("single row inversed", cols, 1, DFT_INVERSE, inplace);
            testC2C("single row DFT_ROWS", cols, 1, DFT_ROWS, inplace);
            testC2C("size 1 2", 1, 2, 0, inplace);
            testC2C("size 2 1", 2, 1, 0, inplace);
        }

        testR2CThenC2R("sanity", cols, rows);
        testR2CThenC2R("sanity 0 1", cols, rows + 1);
        testR2CThenC2R("sanity 1 0", cols + 1, rows);
        testR2CThenC2R("sanity 1 1", cols + 1, rows + 1);
        testR2CThenC2R("single col", 1, rows);
        testR2CThenC2R("single col 1", 1, rows + 1);
        testR2CThenC2R("single row", cols, 1);
        testR2CThenC2R("single row 1", cols + 1, 1);

        testR2CThenC2R("sanity", cols, rows, true);
        testR2CThenC2R("sanity 0 1", cols, rows + 1, true);
        testR2CThenC2R("sanity 1 0", cols + 1, rows, true);
        testR2CThenC2R("sanity 1 1", cols + 1, rows + 1, true);
        testR2CThenC2R("single row", cols, 1, true);
        testR2CThenC2R("single row 1", cols + 1, 1, true);
}

    void gen(int cols, int rows, int cn, Mat& mat)
    {
        RNG rng(1);
        mat.create(rows, cols, CV_MAKETYPE(CV_32F, cn));
        rng.fill(mat, RNG::UNIFORM, Scalar::all(0.f), Scalar::all(10.f));
    }

    bool cmp(const Mat& gold, const Mat& mine, float max_err=1e-3f)
    {
        if (gold.size() != mine.size())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad sizes: gold: %d %d, mine: %d %d\n", gold.cols, gold.rows, mine.cols, mine.rows);
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }
        if (gold.depth() != mine.depth())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad depth: gold=%d, mine=%d\n", gold.depth(), mine.depth());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }
        if (gold.channels() != mine.channels())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad channel count: gold=%d, mine=%d\n", gold.channels(), mine.channels());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }
        for (int i = 0; i < gold.rows; ++i)
        {
            for (int j = 0; j < gold.cols * gold.channels(); ++j)
            {
                float gold_ = gold.at<float>(i, j);
                float mine_ = mine.at<float>(i, j);
                if (fabs(gold_ - mine_) > max_err)
                {
                    ts->printf(cvtest::TS::CONSOLE, "bad values at %d %d: gold=%f, mine=%f\n", j / gold.channels(), i, gold_, mine_);
                    ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
                    return false;
                }
            }
        }
        return true;
    }

    void testC2C(const std::string& hint, int cols, int rows, int flags, bool inplace=false)
    {
        Mat a;
        gen(cols, rows, 2, a);

        Mat b_gold;
        dft(a, b_gold, flags);

        GpuMat d_b;
        GpuMat d_b_data;
        if (inplace)
        {
            d_b_data.create(1, a.size().area(), CV_32FC2);
            d_b = GpuMat(a.rows, a.cols, CV_32FC2, d_b_data.ptr(), a.cols * d_b_data.elemSize());
        }

        dft(GpuMat(a), d_b, Size(cols, rows), flags);

        bool ok = true;
        if (ok && inplace && d_b.ptr() != d_b_data.ptr())
        {
            ts->printf(cvtest::TS::CONSOLE, "unnecessary reallocation was done\n");
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            ok = false;
        }
        if (ok && d_b.depth() != CV_32F)
        {
            ts->printf(cvtest::TS::CONSOLE, "bad depth: %d\n", d_b.depth());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            ok = false;
        }
        if (ok && d_b.channels() != 2)
        {
            ts->printf(cvtest::TS::CONSOLE, "bad channel count: %d\n", d_b.channels());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            ok = false;
        }
        if (ok) ok = cmp(b_gold, Mat(d_b), rows * cols * 1e-4f);
        if (!ok) 
            ts->printf(cvtest::TS::CONSOLE, "testC2C failed: hint=%s, cols=%d, rows=%d, flags=%d, inplace=%d\n", 
                       hint.c_str(), cols, rows, flags, inplace);
    }

    void testR2CThenC2R(const std::string& hint, int cols, int rows, bool inplace=false)
    {
        Mat a;
        gen(cols, rows, 1, a);

        bool ok = true;

        GpuMat d_b, d_c;
        GpuMat d_b_data, d_c_data;
        if (inplace)
        {
            if (a.cols == 1)
            {
                d_b_data.create(1, (a.rows / 2 + 1) * a.cols, CV_32FC2);
                d_b = GpuMat(a.rows / 2 + 1, a.cols, CV_32FC2, d_b_data.ptr(), a.cols * d_b_data.elemSize());
            }
            else
            {
                d_b_data.create(1, a.rows * (a.cols / 2 + 1), CV_32FC2);
                d_b = GpuMat(a.rows, a.cols / 2 + 1, CV_32FC2, d_b_data.ptr(), (a.cols / 2 + 1) * d_b_data.elemSize());
            }
            d_c_data.create(1, a.size().area(), CV_32F);
            d_c = GpuMat(a.rows, a.cols, CV_32F, d_c_data.ptr(), a.cols * d_c_data.elemSize());
        }

        dft(GpuMat(a), d_b, Size(cols, rows), 0);
        dft(d_b, d_c, Size(cols, rows), DFT_REAL_OUTPUT | DFT_SCALE);

        if (ok && inplace && d_b.ptr() != d_b_data.ptr())
        {
            ts->printf(cvtest::TS::CONSOLE, "unnecessary reallocation was done for b\n");
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            ok = false;
        }
        if (ok && inplace && d_c.ptr() != d_c_data.ptr())
        {
            ts->printf(cvtest::TS::CONSOLE, "unnecessary reallocation was done for c\n");
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            ok = false;
        }
        if (ok && d_c.depth() != CV_32F)
        {
            ts->printf(cvtest::TS::CONSOLE, "bad depth: %d\n", d_c.depth());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            ok = false;
        }
        if (ok && d_c.channels() != 1)
        {
            ts->printf(cvtest::TS::CONSOLE, "bad channel count: %d\n", d_c.channels());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            ok = false;
        }
        if (ok) ok = cmp(a, Mat(d_c), rows * cols * 1e-5f);
        if (!ok) 
            ts->printf(cvtest::TS::CONSOLE, "testR2CThenC2R failed: hint=%s, cols=%d, rows=%d, inplace=%d\n", 
                       hint.c_str(), cols, rows, inplace);
    }
};

TEST(dft, accuracy) { CV_GpuDftTest test; test.safe_run(); }