aGrUM  0.14.2
O3prmBNWriter.h
Go to the documentation of this file.
1 /***************************************************************************
2  * Copyright (C) 2005 by Pierre-Henri WUILLEMIN et Christophe GONZALES *
3  * {prenom.nom}_at_lip6.fr *
4  * *
5  * This program is free software; you can redistribute it and/or modify *
6  * it under the terms of the GNU General Public License as published by *
7  * the Free Software Foundation; either version 2 of the License, or *
8  * (at your option) any later version. *
9  * *
10  * This program is distributed in the hope that it will be useful, *
11  * but WITHOUT ANY WARRANTY; without even the implied warranty of *
12  * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the *
13  * GNU General Public License for more details. *
14  * *
15  * You should have received a copy of the GNU General Public License *
16  * along with this program; if not, write to the *
17  * Free Software Foundation, Inc., *
18  * 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA. *
19  ***************************************************************************/
29 #ifndef GUM_O3PRMBNWRITER_H
30 #define GUM_O3PRMBNWRITER_H
31 
32 
33 #include <fstream>
34 #include <iostream>
35 #include <sstream>
36 #include <string>
37 
38 #include <agrum/BN/io/BNWriter.h>
39 #include <agrum/agrum.h>
43 
44 namespace gum {
54  template < typename GUM_SCALAR >
55  class O3prmBNWriter : public BNWriter< GUM_SCALAR > {
56  public:
57  // ==========================================================================
59  // ==========================================================================
61 
65  O3prmBNWriter();
66 
70  virtual ~O3prmBNWriter();
71 
73 
81  virtual void write(std::ostream& output,
82  const IBayesNet< GUM_SCALAR >& bn) final;
83 
93  virtual void write(const std::string& filePath,
94  const IBayesNet< GUM_SCALAR >& bn) final;
95 
96  private:
97  std::string __extractAttribute(const IBayesNet< GUM_SCALAR >& bn, NodeId node);
98 
99  std::string __extractType(const IBayesNet< GUM_SCALAR >& bn, NodeId node);
100 
101  template < typename VARTYPE >
102  std::string __extractDiscretizedType(const VARTYPE* var);
103 
104  std::string __extractName(const IBayesNet< GUM_SCALAR >& bn, NodeId node);
105 
106  std::string __extractParents(const IBayesNet< GUM_SCALAR >& bn, NodeId node);
107 
108  std::string __extractCPT(const IBayesNet< GUM_SCALAR >& bn, NodeId node);
109 
110  std::string __extractRangeType(const IBayesNet< GUM_SCALAR >& bn, NodeId node);
111 
112  std::string __extractLabelizedType(const IBayesNet< GUM_SCALAR >& bn,
113  NodeId node);
114  };
115 
116 
117 #ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
118  extern template class O3prmBNWriter< double >;
119 #endif
120 
121 } /* namespace gum */
122 
124 
125 #endif // GUM_O3PRMBNWRITER_H
Base class for discrete random variable.
std::string __extractType(const IBayesNet< GUM_SCALAR > &bn, NodeId node)
Class representing the minimal interface for Bayesian Network.
Definition: IBayesNet.h:59
gum is the global namespace for all aGrUM entities
Definition: agrum.h:25
std::string __extractCPT(const IBayesNet< GUM_SCALAR > &bn, NodeId node)
O3prmBNWriter()
Default constructor.
std::string __extractRangeType(const IBayesNet< GUM_SCALAR > &bn, NodeId node)
<agrum/PRM/o3prm/O3prmBNWriter.h>
Definition: O3prmBNWriter.h:55
std::string __extractLabelizedType(const IBayesNet< GUM_SCALAR > &bn, NodeId node)
std::string __extractName(const IBayesNet< GUM_SCALAR > &bn, NodeId node)
std::string __extractAttribute(const IBayesNet< GUM_SCALAR > &bn, NodeId node)
Header of gumRangeVariable.
std::string __extractDiscretizedType(const VARTYPE *var)
virtual ~O3prmBNWriter()
Destructor.
Definition of abstract classes for file output manipulation of Bayesian Networks. ...
Pure virtual class for writting a BN to a file.
Definition: BNWriter.h:54
Size NodeId
Type for node ids.
Definition: graphElements.h:97
std::string __extractParents(const IBayesNet< GUM_SCALAR > &bn, NodeId node)
virtual void write(std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) final
Writes an bayes net in the given ouput stream.