//                                               -*- C++ -*-
/**
 *  @file  t_UserDefinedSpectralModel_std.cxx
 *  @brief The test file of class UserDefinedSpectralModel
 *
 *  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;

NumericalScalar clean(NumericalScalar in)
{
  // For -0.0 trouble
  if (fabs(in) < 1.e-6) return 0.0;
  return in;
  //return 1.e-6*round(1.e6*in);
}

HermitianMatrix clean(HermitianMatrix in)
{
  UnsignedLong dim(in.getDimension());
  for(UnsignedLong i = 0; i < dim; i++)
    for(UnsignedLong j = 0; j <= i; j++)
      {
        NumericalScalar realIJ = clean(real(in(i, j)));
        NumericalScalar imagIJ = clean(imag(in(i, j)));
        in(i, j) = NumericalComplex(realIJ, imagIJ);
      }
  return in;
}

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

  try
    {

      /* Default constructor */
      UserDefinedSpectralModel myDefautModel;
      fullprint << "myDefautModel = " << myDefautModel << std::endl;

      /* Default dimension parameter to evaluate the model */
      const UnsignedLong dimension(2);

      /* Amplitude values */
      NumericalPoint amplitude(dimension);
      /* Scale values */
      NumericalPoint scale(dimension);
      /* Spatial correclation */
      CorrelationMatrix spatialCorrelation(dimension);
      for (UnsignedLong index = 0 ; index < dimension; ++index)
        {
          // constant amplitude
          amplitude[index] = 1.0 ;
          scale[index] = (index + 1.0) / dimension ;
          if (index > 0) spatialCorrelation(index, index - 1) = 1.0 / index;
        }

      /* Sample a CauchyModel */
      CauchyModel referenceModel(amplitude, scale, spatialCorrelation);

      UnsignedLong size(5);
      UserDefinedSpectralModel::HermitianMatrixCollection dspCollection(size);
      RegularGrid frequencyGrid(0.0, 2.0 / size, size);
      for (UnsignedLong i = 0; i < size; ++i)
        dspCollection[i] = referenceModel.computeSpectralDensity(frequencyGrid.getValue(i));

      /* Create a UserDefinedSpectralModel */
      UserDefinedSpectralModel myModel(frequencyGrid, dspCollection);
      fullprint << "myModel=" << myModel << std::endl;

      /* Sample the UserDefinedSpectralModel */
      RegularGrid samplingGrid(-0.4, 1.0 / (3.0 * size), 5 * size);
      for (UnsignedLong i = 0; i < samplingGrid.getN(); ++i)
        {
          NumericalScalar frequency(samplingGrid.getValue(i));
          fullprint << "frequency=" << clean(frequency) << ", myModel=\n" << clean(myModel.computeSpectralDensity(frequency)) << ", referenceModel=\n" << clean(referenceModel.computeSpectralDensity(frequency)) << std::endl;
        }

    }
  catch (TestFailed & ex)
    {
      std::cerr << ex << std::endl;
      return ExitCode::Error;
    }


  return ExitCode::Success;
}
