classBayesNet.h

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/***************************************************************************
 *   Copyright (C) 2005 by Christophe GONZALES and Pierre-Henri WUILLEMIN  *
 *   {prenom.nom}_at_lip6.fr                                               *
 *                                                                         *
 *   This program 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 program 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 program; if not, write to the                         *
 *   Free Software Foundation, Inc.,                                       *
 *   59 Temple Place - Suite 330, Boston, MA  02111-1307, USA.             *
 ***************************************************************************/
#ifndef GUM_CLASS_BAYESNET_H
#define GUM_CLASS_BAYESNET_H

#include <list>

#include <agrum/BN/IBayesNet.h>

#include <agrum/PRM/PRM.h>
namespace gum {
  namespace prm {

    // clang-format off
    // clang-format on
    template < typename GUM_SCALAR >
    class ClassBayesNet : public IBayesNet< GUM_SCALAR > {
      public:
      // ========================================================================
      // ========================================================================

      ClassBayesNet< GUM_SCALAR >(const PRMClass< GUM_SCALAR >& c);

      ClassBayesNet< GUM_SCALAR >(const ClassBayesNet< GUM_SCALAR >& from);

      ClassBayesNet< GUM_SCALAR >&
         operator=(const ClassBayesNet< GUM_SCALAR >& from);

      virtual ~ClassBayesNet< GUM_SCALAR >();

      // ===========================================================================
      // ===========================================================================

      virtual const Potential< GUM_SCALAR >& cpt(NodeId varId) const;

      virtual const VariableNodeMap& variableNodeMap() const;

      virtual const DiscreteVariable& variable(NodeId id) const;

      virtual NodeId nodeId(const DiscreteVariable& var) const;

      virtual NodeId idFromName(const std::string& name) const;

      virtual const DiscreteVariable&
         variableFromName(const std::string& name) const;

      const NodeProperty< Size >& modalities() const;

      // ===========================================================================
      // ===========================================================================
      virtual std::string toDot() const;

      private:
      HashTable< const DiscreteVariable*, const PRMClassElement< GUM_SCALAR >* >
         __varNodeMap;

      const PRMClassElement< GUM_SCALAR >& __get(NodeId id) const;

      const PRMClassElement< GUM_SCALAR >& __get(const std::string& name) const;

      const PRMClass< GUM_SCALAR >* __class;

      mutable NodeProperty< Size > __modalities;

      void __init(const PRMClass< GUM_SCALAR >& c);
    };


#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
    extern template class ClassBayesNet< double >;
#endif


  } /* namespace prm */
} /* namespace gum */

#include <agrum/PRM/classBayesNet_tpl.h>

#endif /* GUM_CLASS_BAYESNET_H */