aGrUM  0.13.2
DSLWriter.h
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20 #ifndef DSLWRITER_H
21 #define DSLWRITER_H
22 
23 #include <fstream>
24 #include <iostream>
25 #include <sstream>
26 #include <string>
27 
28 #include <agrum/BN/io/BNWriter.h>
29 #include <agrum/agrum.h>
30 
31 namespace gum {
32 
45  template < typename GUM_SCALAR >
46  class DSLWriter : public BNWriter< GUM_SCALAR > {
47  public:
48  // ==========================================================================
50  // ==========================================================================
52 
56  DSLWriter();
57 
61  ~DSLWriter() final;
62 
64 
72  void write(std::ostream& output, const IBayesNet< GUM_SCALAR >& bn) final;
73 
82  void write(const std::string& filePath,
83  const IBayesNet< GUM_SCALAR >& bn) final;
84 
85  private:
86  // Returns a bloc defining a variable in the DSL format.
87  std::string __variableBloc(const IBayesNet< GUM_SCALAR >& bn,
88  const DiscreteVariable& var);
89  };
90 
91 
92  extern template class gum::DSLWriter< float >;
93  extern template class gum::DSLWriter< double >;
94 
95 } /* namespace gum */
96 
97 #include "DSLWriter_tpl.h"
98 
99 #endif // DSLWRITER_H
~DSLWriter() final
Destructor.
Writes a IBayesNet in the DSL format.
Definition: DSLWriter.h:46
Base class for discrete random variable.
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
void write(std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) final
Writes a Bayesian Network in the output stream using the DSL format.
Templates implementation of bns/io/gumBNWriter.h classes.
std::string __variableBloc(const IBayesNet< GUM_SCALAR > &bn, const DiscreteVariable &var)
DSLWriter()
Default constructor.
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