/*M///////////////////////////////////////////////////////////////////////////////////////
//
//  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
//  By downloading, copying, installing or using the software you agree to this license.
//  If you do not agree to this license, do not download, install,
//  copy or use the software.
//
//
//                        Intel License Agreement
//                For Open Source Computer Vision Library
//
// Copyright (C) 2000, Intel Corporation, all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
//   * Redistribution's of source code must retain the above copyright notice,
//     this list of conditions and the following disclaimer.
//
//   * Redistribution's in binary form must reproduce the above copyright notice,
//     this list of conditions and the following disclaimer in the documentation
//     and/or other materials provided with the distribution.
//
//   * The name of Intel Corporation may not be used to endorse or promote products
//     derived from this software without specific prior written permission.
//
// This software is provided by the copyright holders and contributors "as is" and
// any express or implied warranties, including, but not limited to, the implied
// warranties of merchantability and fitness for a particular purpose are disclaimed.
// In no event shall the Intel Corporation or contributors be liable for any direct,
// indirect, incidental, special, exemplary, or consequential damages
// (including, but not limited to, procurement of substitute goods or services;
// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
// or tort (including negligence or otherwise) arising in any way out of
// the use of this software, even if advised of the possibility of such damage.
//
//M*/

#include "test_precomp.hpp"

using namespace cv;
using namespace std;

/*////////////////////// emd_test /////////////////////////*/

class CV_EMDTest : public cvtest::BaseTest
{
public:
    CV_EMDTest();
protected:
    void run(int);
};


CV_EMDTest::CV_EMDTest()
{
}

void CV_EMDTest::run( int )
{
    int code = cvtest::TS::OK;
    const double success_error_level = 1e-6;
    #define M 10000
    double emd0 = 2460./210;
    static float cost[] =
    {
        16, 16, 13, 22, 17,
        14, 14, 13, 19, 15,
        19, 19, 20, 23,  M,
        M ,  0,  M,  0,  0
    };
    static float  w1[] = { 50, 60, 50, 50 },
                  w2[] = { 30, 20, 70, 30, 60 };
    Mat _w1(4, 1, CV_32F, w1);
    Mat _w2(5, 1, CV_32F, w2);
    Mat _cost(_w1.rows, _w2.rows, CV_32F, cost);

    float emd = EMD( _w1, _w2, -1, _cost );
    if( fabs( emd - emd0 ) > success_error_level*emd0 )
    {
        ts->printf( cvtest::TS::LOG,
            "The computed distance is %.2f, while it should be %.2f\n", emd, emd0 );
        code = cvtest::TS::FAIL_BAD_ACCURACY;
    }

    if( code < 0 )
        ts->set_failed_test_info( code );
}

TEST(Imgproc_EMD, regression) { CV_EMDTest test; test.safe_run(); }

/* End of file. */