//                                               -*- C++ -*-
/**
 *  @file  t_DistFunc_beta.cxx
 *  @brief The test file of class DistFunc 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 dutka
 *  @date   2009-05-28 14:47:53 +0200 (jeu. 28 mai 2009)
 */
#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
  {
    // Beta related functions
    {
      // pBeta
      NumericalScalar p1Min(0.2);
      NumericalScalar p1Max(5.0);
      UnsignedLong n1(5);
      NumericalScalar p2Min(0.2);
      NumericalScalar p2Max(5.0);
      UnsignedLong n2(5);
      NumericalScalar xMin(0.1);
      NumericalScalar xMax(0.9);
      UnsignedLong nX(5);
      for (UnsignedLong i1 = 0; i1 < n1; ++i1)
      {
        NumericalScalar p1(p1Min + (p1Max - p1Min) * i1 / (n1 - 1));
        for (UnsignedLong i2 = 0; i2 < n2; ++i2)
        {
          NumericalScalar p2(p2Min + (p2Max - p2Min) * i2 / (n2 - 1));
          for (UnsignedLong iX = 0; iX < nX; ++iX)
          {
            NumericalScalar x(xMin + (xMax - xMin) * iX / (nX - 1));
            fullprint << "pBeta(" << p1 << ", " << p2 << ", " << x << ")=" << DistFunc::pBeta(p1, p2, x) << ", complementary=" << DistFunc::pBeta(p1, p2, x, true) << std::endl;
          }
        }
      }
    } // pBeta
    {
      // qBeta
      NumericalScalar p1Min(0.2);
      NumericalScalar p1Max(5.0);
      UnsignedLong n1(5);
      NumericalScalar p2Min(0.2);
      NumericalScalar p2Max(5.0);
      UnsignedLong n2(5);
      NumericalScalar qMin(0.1);
      NumericalScalar qMax(0.9);
      UnsignedLong nQ(5);
      for (UnsignedLong i1 = 0; i1 < n1; ++i1)
      {
        NumericalScalar p1(p1Min + (p1Max - p1Min) * i1 / (n1 - 1));
        for (UnsignedLong i2 = 0; i2 < n2; ++i2)
        {
          NumericalScalar p2(p2Min + (p2Max - p2Min) * i2 / (n2 - 1));
          for (UnsignedLong iQ = 0; iQ < nQ; ++iQ)
          {
            NumericalScalar q(qMin + (qMax - qMin) * iQ / (nQ - 1));
            fullprint << "qBeta(" << p1 << ", " << p2 << ", " << q << ")=" << DistFunc::qBeta(p1, p2, q) << ", complementary=" << DistFunc::qBeta(p1, p2, q, true) << std::endl;
          }
        }
      }
    } // qBeta
    {
      // rBeta
      NumericalScalar p1Min(0.2);
      NumericalScalar p1Max(5.0);
      UnsignedLong n1(5);
      NumericalScalar p2Min(0.2);
      NumericalScalar p2Max(5.0);
      UnsignedLong n2(5);
      UnsignedLong nR(5);
      for (UnsignedLong i1 = 0; i1 < n1; ++i1)
      {
        NumericalScalar p1(p1Min + (p1Max - p1Min) * i1 / (n1 - 1));
        for (UnsignedLong i2 = 0; i2 < n2; ++i2)
        {
          NumericalScalar p2(p2Min + (p2Max - p2Min) * i2 / (n2 - 1));
          for (UnsignedLong iR = 0; iR < nR; ++iR)
          {
            fullprint << "rBeta(" << p1 << ", " << p2 << ")=" << DistFunc::rBeta(p1, p2) << std::endl;
          }
        }
      }
    } // rBeta
  }
  catch (TestFailed & ex)
  {
    std::cerr << ex << std::endl;
    return ExitCode::Error;
  }


  return ExitCode::Success;
}
