aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
CNFWriter.h
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40
41
51
52#ifndef GUM_CNF_WRITER_H
53#define GUM_CNF_WRITER_H
54
55#include <fstream>
56#include <iostream>
57#include <sstream>
58#include <string>
59
60#include <agrum/agrum.h>
61
63
64// Ajout sur branche DDE pour pouvoir compiler (à retirer très probablement)
65// problème sur template <typename> class IApproximationPolicy = ExactPolicy
66// sinon
67// (reconnaissance de ExactPolicy?)
69
70namespace gum {
71
84 template < typename GUM_SCALAR, template < typename > class IApproximationPolicy = ExactPolicy >
85 class CNFWriter: public BNWriter< GUM_SCALAR >, public IApproximationPolicy< GUM_SCALAR > {
86 public:
87 // ==========================================================================
89 // ==========================================================================
91
96
100 ~CNFWriter() override;
101
102 CNFWriter(const CNFWriter&) = default;
103 CNFWriter(CNFWriter&&) noexcept = default;
104 CNFWriter& operator=(const CNFWriter&) = default;
105 CNFWriter& operator=(CNFWriter&&) noexcept = default;
106
108
109 protected:
117 void _doWrite(std::ostream& output, const IBayesNet< GUM_SCALAR >& bn) override = 0;
118
127 void _doWrite(const std::string& filePath, const IBayesNet< GUM_SCALAR >& bn) override = 0;
128
129 inline GUM_SCALAR fromExact(const GUM_SCALAR& value) const override {
130 return IApproximationPolicy< GUM_SCALAR >::fromExact(value);
131 }
132 };
133
134
135#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
136 extern template class CNFWriter< double >;
137#endif
138
139} /* namespace gum */
140
142#endif // GUM_NET_WRITER_H
Definition of abstract classes for file output manipulation of Bayesian networks.
BNWriter()
Default constructor.
GUM_SCALAR fromExact(const GUM_SCALAR &value) const override
Convert value to his approximation.
Definition CNFWriter.h:129
CNFWriter(const CNFWriter &)=default
Default constructor.
CNFWriter()
Default constructor.
CNFWriter(CNFWriter &&) noexcept=default
Default constructor.
void _doWrite(std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) override=0
Writes a Bayesian network in the output stream using the BN format.
~CNFWriter() override
Destructor.
Class implementing exact approximation policy (meaning a value is approximate to itself).
Definition exactPolicy.h:67
Class representing the minimal interface for Bayesian network with no numerical data.
Definition IBayesNet.h:75
Classes used to practice approximation on value.
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.