//                                               -*- C++ -*-
/**
 *  @file  t_CorrelationAnalysis_std.cxx
 *  @brief Test file fo the correlation coefficients computation
 *
 *  Copyright (C) 2005-2014 Airbus-EDF-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 lebrun
 *  @date   2008-04-15 16:24:44 +0200 (mar, 15 avr 2008)
 */
#include "OT.hxx"
#include "OTtestcode.hxx"

using namespace OT;
using namespace OT::Test;

typedef Collection<Distribution> DistributionCollection;

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

  try
  {
    UnsignedInteger dimension(2);
    UnsignedInteger sampleSize(1000);

    // we create an analytical function
    Description input(dimension);
    input[0] = "x0";
    input[1] = "x1";

    Description foutput(1, "f");

    Description formulas(1, "10+3*x0+x1");

    NumericalMathFunction analytical(input, foutput, formulas);

    // we create a collection of uniform distributions over [-Pi; Pi[
    DistributionCollection aCollection;
    for(UnsignedInteger i = 0; i < dimension; ++i)
    {
      aCollection.add(Normal());
    }

    // we create one distribution object
    ComposedDistribution aDistribution(aCollection, IndependentCopula(dimension));

    RandomVector randomVector(aDistribution);
    RandomVector composite(analytical, randomVector);
    fullprint << "composite=" << composite << std::endl;

    // we create two input samples for the function
    NumericalSample inputSample(randomVector.getSample(sampleSize));
    NumericalSample outputSample(analytical(inputSample));

    NumericalPoint src(CorrelationAnalysis::SRC(inputSample, outputSample));
    fullprint << "src=" << src << std::endl;

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

  return ExitCode::Success;
}
