//                                               -*- C++ -*-
/**
 *  @file  t_Cloud_std.cxx
 *  @brief The test file of class Cloud for standard methods
 *
 *  Copyright (C) 2005-2013 EDF-EADS-Phimeca
 *
 *  This library is free software: you can redistribute it and/or modify
 *  it under the terms of the GNU Lesser General Public License as published by
 *  the Free Software Foundation, either version 3 of the License, or
 *  (at your option) any later version.
 *
 *  This library is distributed in the hope that it will be useful,
 *  but WITHOUT ANY WARRANTY; without even the implied warranty of
 *  MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
 *  GNU Lesser General Public License for more details.
 *
 *  You should have received a copy of the GNU Lesser General Public
 *  along with this library.  If not, see <http://www.gnu.org/licenses/>.
 *
 *  @author schueller
 *  @date   2012-07-16 15:59:45 +0200 (Mon, 16 Jul 2012)
 */
#include "OT.hxx"
#include "OTtestcode.hxx"

using namespace OT;
using namespace OT::Test;

int main(int argc, char *argv[])
{
  TESTPREAMBLE;
  OStream fullprint(std::cout);
  setRandomGenerator();

  try
    {

      // Instanciate one distribution object
      UnsignedLong dim(2);
      NumericalPoint meanPoint(dim, 1.0);
      meanPoint[0] = 0.5;
      meanPoint[1] = -0.5;
      NumericalPoint sigma(dim, 1.0);
      sigma[0] = 2.0;
      sigma[1] = 3.0;
      CorrelationMatrix R(dim);
      for (UnsignedLong i = 1; i < dim; i++)
        {
          R(i, i - 1) = 0.5;
        }


      Normal distribution1(meanPoint, sigma, R);

      // Instanciate another distribution object
      meanPoint[0] = -1.5;
      meanPoint[1] = 0.5;
      sigma[0] = 4.0;
      sigma[1] = 1.0;
      for (UnsignedLong i = 1; i < dim; i++)
        {
          R(i, i - 1) = -0.25;
        }


      Normal distribution2(meanPoint, sigma, R);



      // Test for sampling
      UnsignedLong size = 200;
      NumericalSample sample1(distribution1.getSample( size ));
      NumericalSample sample2(distribution2.getSample( size ));

      // Create an empty graph
      Graph myGraph("Normal sample", "x1", "x2", true, "topright");

      // Create the first cloud
      Cloud myCloud1(sample1, "blue", "fsquare", "First Cloud");

      // Then, draw it
      myGraph.add(myCloud1);
      myGraph.draw("Graph_Cloud_a_OT", 640, 480);

      // Check that the correct files have been generated by computing their checksum
      fullprint << "bitmap=" << myGraph.getBitmap() << std::endl;
      fullprint << "postscript=" << myGraph.getPostscript() << std::endl;

      // Create the second cloud
      Cloud myCloud2(sample2, "red", "dot", "Second Cloud");

      // Add it to the graph and draw everything
      myGraph.add(myCloud2);
      myGraph.draw("Graph_Cloud_b_OT", 640, 480);
      fullprint << "bitmap=" << myGraph.getBitmap() << std::endl;
      fullprint << "postscript=" << myGraph.getPostscript() << std::endl;
    }
  catch (TestFailed & ex)
    {
      std::cerr << ex << std::endl;
      return ExitCode::Error;
    }


  return ExitCode::Success;
}
