aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
DSLWriter.h
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40
41
42#ifndef DSLWRITER_H
43#define DSLWRITER_H
44
45#include <fstream>
46#include <iostream>
47#include <sstream>
48#include <string>
49
50#include <agrum/agrum.h>
51
53
54namespace gum {
55
68 template < typename GUM_SCALAR >
69 class DSLWriter: public BNWriter< GUM_SCALAR > {
70 public:
71 // ==========================================================================
73 // ==========================================================================
75
80
84 ~DSLWriter() override;
85
86 DSLWriter(const DSLWriter&) = default;
87 DSLWriter(DSLWriter&&) noexcept = default;
88 DSLWriter& operator=(const DSLWriter&) = default;
89 DSLWriter& operator=(DSLWriter&&) noexcept = default;
90
92
93 protected:
101 void _doWrite(std::ostream& output, const IBayesNet< GUM_SCALAR >& bn) final;
102
111 void _doWrite(const std::string& filePath, const IBayesNet< GUM_SCALAR >& bn) final;
112
118 void _syntacticalCheck(const IBayesNet< GUM_SCALAR >& bn) final;
119
120 private:
121 // Returns a bloc defining a variable in the DSL format.
122 std::string _variableBloc_(const IBayesNet< GUM_SCALAR >& bn, const DiscreteVariable& var);
123 };
124
125
126#ifndef GUM_NO_EXTERN_TEMPLATE_CLASS
127 extern template class gum::DSLWriter< double >;
128#endif
129
130} /* namespace gum */
131
132#include "DSLWriter_tpl.h"
133
134#endif // DSLWRITER_H
Definition of abstract classes for file output manipulation of Bayesian networks.
Templates implementation of bns/io/gumBNWriter.h classes.
BNWriter()
Default constructor.
Writes a IBayesNet in the DSL format.
Definition DSLWriter.h:69
void _doWrite(std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) final
Writes a Bayesian network in the output stream using the DSL format.
std::string _variableBloc_(const IBayesNet< GUM_SCALAR > &bn, const DiscreteVariable &var)
DSLWriter(DSLWriter &&) noexcept=default
Default constructor.
DSLWriter(const DSLWriter &)=default
Default constructor.
void _syntacticalCheck(const IBayesNet< GUM_SCALAR > &bn) final
Check whether the BN is syntactically correct for BIF format.
DSLWriter()
Default constructor.
~DSLWriter() override
Destructor.
Base class for discrete random variable.
Class representing the minimal interface for Bayesian network with no numerical data.
Definition IBayesNet.h:75
gum is the global namespace for all aGrUM entities
Definition agrum.h:46
STL namespace.