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#include "test_precomp.hpp"

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

class CV_GpuMatOpSetToTest : public cvtest::BaseTest
{
public:
    CV_GpuMatOpSetToTest();
    ~CV_GpuMatOpSetToTest() {}

protected:
    void run(int);

    bool testSetTo(cv::Mat& cpumat, gpu::GpuMat& gpumat, const cv::Mat& cpumask = cv::Mat(), const cv::gpu::GpuMat& gpumask = cv::gpu::GpuMat());

private:
    int rows;
    int cols;
    Scalar s;
};

CV_GpuMatOpSetToTest::CV_GpuMatOpSetToTest()
{
    rows = 35;
    cols = 67;

    s.val[0] = 127.0;
    s.val[1] = 127.0;
    s.val[2] = 127.0;
    s.val[3] = 127.0;
}

bool CV_GpuMatOpSetToTest::testSetTo(cv::Mat& cpumat, gpu::GpuMat& gpumat, const cv::Mat& cpumask, const cv::gpu::GpuMat& gpumask)
{
    cpumat.setTo(s, cpumask);
    gpumat.setTo(s, gpumask);

    double ret = norm(cpumat, (Mat)gpumat, NORM_INF);

    if (ret < std::numeric_limits<double>::epsilon())
        return true;
    else
    {
        ts->printf(cvtest::TS::LOG, "\nNorm: %f\n", ret);
        return false;
    }
}

void CV_GpuMatOpSetToTest::run( int /* start_from */)
{
    bool is_test_good = true;

    cv::Mat cpumask(rows, cols, CV_8UC1);
    cv::RNG& rng = ts->get_rng();
    rng.fill(cpumask, RNG::UNIFORM, cv::Scalar::all(0.0), cv::Scalar(1.5));
    cv::gpu::GpuMat gpumask(cpumask);

    int lastType = CV_32F;

    if (TargetArchs::builtWith(NATIVE_DOUBLE) && DeviceInfo().supports(NATIVE_DOUBLE))
        lastType = CV_64F;

    for (int i = 0; i <= lastType; i++)
    {
        for (int cn = 1; cn <= 4; ++cn)
        {
            int mat_type = CV_MAKETYPE(i, cn);
            Mat cpumat(rows, cols, mat_type, Scalar::all(0));
            GpuMat gpumat(cpumat);
            is_test_good &= testSetTo(cpumat, gpumat, cpumask, gpumask);
        }
    }

    if (is_test_good == true)
        ts->set_failed_test_info(cvtest::TS::OK);
    else
        ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
}

TEST(GpuMat_setTo, accuracy) { CV_GpuMatOpSetToTest test; test.safe_run(); }