//                                               -*- C++ -*-
/**
 *  @brief The test file of class ExponentiallyDampedCosineModel
 *
 *  Copyright 2005-2024 Airbus-EDF-IMACS-ONERA-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 License
 *  along with this library.  If not, see <http://www.gnu.org/licenses/>.
 *
 */
#include "openturns/OT.hxx"
#include "openturns/OTtestcode.hxx"

using namespace OT;
using namespace OT::Test;

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

  try
  {
    {
      /* Amplitude values */
      Point amplitude(1, 1.0);
      /* Scale values */
      Point scale(1, 1.0);
      /* Frequency values */
      Scalar frequency = 0.1;

      /* Default constructor */
      ExponentiallyDampedCosineModel myDefaultModel;
      fullprint << "myDefaultModel = " << myDefaultModel << std::endl;

      /* Second order model with parameters */
      ExponentiallyDampedCosineModel myModel(scale, amplitude, frequency);
      fullprint << "myModel = " << myModel << std::endl;

      const Scalar timeValueOne = 1.0;
      fullprint << "covariance matrix at t = " << timeValueOne << " : " << myModel(timeValueOne) << std::endl;
      fullprint << "covariance matrix at t = " << -1.0 * timeValueOne << " : " << myModel(-1.0 * timeValueOne) << std::endl;

      /* Evaluation at time higher to check the decrease of the exponentiallyDampedCosine values */
      const Scalar timeValueHigh = 4.0;
      fullprint << "covariance matrix at t = " << timeValueHigh << " : " << myModel(timeValueHigh) << std::endl;

      /* Discretize the process on a small time grid */
      RegularGrid timeGrid(0.0, 1.0 / 3.0, 4);
      fullprint << "discretized covariance over the time grid=" << timeGrid << " is" << std::endl;
      fullprint << myModel.discretize(timeGrid) << std::endl;
    }
    {
      /* Amplitude values */
      Point amplitude(1, 1.0);
      /* Scale values */
      Point scale(1, 1.0);
      /* Frequency values */
      Scalar frequency = 0.2;

      /* Default constructor */
      ExponentiallyDampedCosineModel myDefaultModel;
      fullprint << "myDefaultModel = " << myDefaultModel << std::endl;

      /* Second order model with parameters */
      ExponentiallyDampedCosineModel myModel(scale, amplitude, frequency);
      fullprint << "myModel = " << myModel << std::endl;

      const Scalar timeValueOne = 1.0;
      fullprint << "covariance matrix at t = " << timeValueOne << " : " << myModel(timeValueOne) << std::endl;
      fullprint << "covariance matrix at t = " << -1.0 * timeValueOne << " : " << myModel(-1.0 * timeValueOne) << std::endl;

      /* Evaluation at time higher to check the decrease of the exponentiallyDampedCosine values */
      const Scalar timeValueHigh = 4.0;
      fullprint << "covariance matrix at t = " << timeValueHigh << " : " << myModel(timeValueHigh) << std::endl;

      /* Discretize the process on a small time grid */
      RegularGrid timeGrid(0.0, 1.0 / 3.0, 4);
      fullprint << "discretized covariance over the time grid=" << timeGrid << " is" << std::endl;
      fullprint << myModel.discretize(timeGrid) << std::endl;
    }
  }
  catch (TestFailed & ex)
  {
    std::cerr << ex << std::endl;
    return ExitCode::Error;
  }


  return ExitCode::Success;
}
