/**********************************************************************
  *                                                                    *
  * Copyright (c) 2003 INFN - Sezione di Napoli                        *
  *                                                                    *
  * For more information (including a list of authors) see             *
  * the README file                                                    *
  *                                                                    *
  * This library is free software; you can redistribute it and/or      *
  * modify it under the terms of the GNU General Public License        *
  * as published by the Free Software Foundation; either version 2     *
  * 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 General Public License for more details.                       *
  *                                                                    *
  * You should have received a copy of the GNU General Public License  *
  * along with this library (see file COPYING); if not, write to the   *
  * Free Software Foundation, Inc., 59 Temple Place, Suite 330,        *
  * Boston, MA 02111-1307 USA, or contact the authors.                 *
  *                                                                    *
  **********************************************************************/
#include "StatTools/Pdf/Ext/Defaults.h"
#include "StatTools/Pdf/Independent.h"
#include "StatTools/Pdf/Gaussian.h"
#include "StatTools/Pdf/Poissonian.h"
#include "StatTools/Pdf/Get.h"
#include <cassert>
using namespace Pdf;

int main()
{
  Gaussian g1( 0, 1 ), g2( 0, 2 );
  Poissonian p1( 5 );
  
  Independent< Gaussian, Poissonian, Gaussian > i( g1, p1, g2 );

  const Gaussian   & G1 = get< 0 >( i );
  const Poissonian & P1 = get< 1 >( i );
  const Gaussian   & G2 = get< 2 >( i );

  assert( & G1 == & g1 );
  assert( & P1 == & p1 );
  assert( & G2 == & g2 );

  return 0;
}