aGrUM 3.1.1
a C++ library for (probabilistic) graphical models
gum::BIFWriter< GUM_SCALAR > Class Template Referencefinal

Writes a IBayesNet in the BIF format. More...

#include <agrum/BN/io/BIF/BIFWriter.h>

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Public Member Functions

void write (std::ostream &output, IBayesNet< GUM_SCALAR > &bn)
 Writes a Bayesian network in the output stream.
void write (std::string_view filePath, IBayesNet< GUM_SCALAR > &bn)
 Writes a Bayesian network in the file referenced by filePath.
GUM_NODISCARD bool isModificationAllowed () const
void setAllowModification (bool am)
std::string toString (const IBayesNet< GUM_SCALAR > &bn)
Constructor & destructor
 BIFWriter ()
 Default constructor.
 ~BIFWriter () override
 Destructor.
 BIFWriter (const BIFWriter &)=default
 Default constructor.
 BIFWriter (BIFWriter &&) noexcept=default
 Default constructor.
BIFWriteroperator= (const BIFWriter &)=default
 Default constructor.
BIFWriteroperator= (BIFWriter &&) noexcept=default
 Default constructor.

Protected Member Functions

void _doWrite (std::ostream &output, const IBayesNet< GUM_SCALAR > &bn) final
 Writes a Bayesian network in the output stream using the BIF format.
void _doWrite (std::string_view filePath, const IBayesNet< GUM_SCALAR > &bn) final
 Writes a Bayesian network in the referenced file using the BIF format.
void _syntacticalCheck (const IBayesNet< GUM_SCALAR > &bn) final
 Check whether the BN is syntactically correct for BIF format.

Private Member Functions

std::string _header_ (const IBayesNet< GUM_SCALAR > &bn)
std::string _variableBloc_ (const DiscreteVariable &var)
std::string _variableCPT_ (const Tensor< GUM_SCALAR > &cpt)
std::string _variablesLabels_ (const Sequence< const DiscreteVariable * > &varsSeq, const Instantiation &inst)
void _validCharInNamesCheck (const IBayesNet< GUM_SCALAR > &bn)
 }
std::string _onlyValidCharsInName (std::string_view name)
 }
std::string _buildNameWithOnlyValidChars (std::string_view name)
 }
bool _allowModification_ = false
 }

Detailed Description

template<GUM_Numeric GUM_SCALAR>
class gum::BIFWriter< GUM_SCALAR >

Writes a IBayesNet in the BIF format.

This class servers to write the content of a Bayesian network in the BIF format. See http://www.cs.cmu.edu/~fgcozman/Research/InterchangeFormat/Old/xmlbif02.html for information on this format.

Definition at line 79 of file BIFWriter.h.

Constructor & Destructor Documentation

◆ BIFWriter() [1/3]

template<GUM_Numeric GUM_SCALAR>
gum::BIFWriter< GUM_SCALAR >::BIFWriter ( )

Default constructor.

Referenced by BIFWriter(), BIFWriter(), _variablesLabels_(), operator=(), and operator=().

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◆ ~BIFWriter()

template<GUM_Numeric GUM_SCALAR>
gum::BIFWriter< GUM_SCALAR >::~BIFWriter ( )
override

Destructor.

◆ BIFWriter() [2/3]

template<GUM_Numeric GUM_SCALAR>
gum::BIFWriter< GUM_SCALAR >::BIFWriter ( const BIFWriter< GUM_SCALAR > & )
default

Default constructor.

References BIFWriter().

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◆ BIFWriter() [3/3]

template<GUM_Numeric GUM_SCALAR>
gum::BIFWriter< GUM_SCALAR >::BIFWriter ( BIFWriter< GUM_SCALAR > && )
defaultnoexcept

Default constructor.

References BIFWriter().

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Member Function Documentation

◆ _buildNameWithOnlyValidChars()

template<GUM_Numeric GUM_SCALAR>
std::string gum::BNWriter< GUM_SCALAR >::_buildNameWithOnlyValidChars ( std::string_view name)
protectedinherited

}

References _buildNameWithOnlyValidChars().

Referenced by _buildNameWithOnlyValidChars().

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◆ _doWrite() [1/2]

template<GUM_Numeric GUM_SCALAR>
void gum::BIFWriter< GUM_SCALAR >::_doWrite ( std::ostream & output,
const IBayesNet< GUM_SCALAR > & bn )
finalprotectedvirtual

Writes a Bayesian network in the output stream using the BIF format.

Parameters
outputThe output stream.
bnThe Bayesian network written to output.
Exceptions
IOErrorRaised if and I/O error occurs.

Implements gum::BNWriter< GUM_SCALAR >.

References _doWrite().

Referenced by _doWrite(), and _doWrite().

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◆ _doWrite() [2/2]

template<GUM_Numeric GUM_SCALAR>
void gum::BIFWriter< GUM_SCALAR >::_doWrite ( std::string_view filePath,
const IBayesNet< GUM_SCALAR > & bn )
finalprotectedvirtual

Writes a Bayesian network in the referenced file using the BIF format.

If the files doesn't exists, it is created.

Parameters
filePathThe path to the file used to write the Bayesian network.
bnThe Bayesian network writed in the file.
Exceptions
IOErrorRaised if and I/O error occurs.

Implements gum::BNWriter< GUM_SCALAR >.

References _doWrite().

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◆ _header_()

template<GUM_Numeric GUM_SCALAR>
std::string gum::BIFWriter< GUM_SCALAR >::_header_ ( const IBayesNet< GUM_SCALAR > & bn)
private

References _header_().

Referenced by _header_().

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◆ _onlyValidCharsInName()

template<GUM_Numeric GUM_SCALAR>
std::string gum::BNWriter< GUM_SCALAR >::_onlyValidCharsInName ( std::string_view name)
protectedinherited

}

References _onlyValidCharsInName().

Referenced by _onlyValidCharsInName().

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◆ _syntacticalCheck()

template<GUM_Numeric GUM_SCALAR>
void gum::BIFWriter< GUM_SCALAR >::_syntacticalCheck ( const IBayesNet< GUM_SCALAR > & bn)
finalprotectedvirtual

Check whether the BN is syntactically correct for BIF format.

Exceptions
FatalErrorif found.

Reimplemented from gum::BNWriter< GUM_SCALAR >.

References _syntacticalCheck().

Referenced by _syntacticalCheck().

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◆ _validCharInNamesCheck()

template<GUM_Numeric GUM_SCALAR>
void gum::BNWriter< GUM_SCALAR >::_validCharInNamesCheck ( const IBayesNet< GUM_SCALAR > & bn)
protectedinherited

}

References _validCharInNamesCheck().

Referenced by _validCharInNamesCheck().

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◆ _variableBloc_()

template<GUM_Numeric GUM_SCALAR>
std::string gum::BIFWriter< GUM_SCALAR >::_variableBloc_ ( const DiscreteVariable & var)
private

References _variableBloc_().

Referenced by _variableBloc_().

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◆ _variableCPT_()

template<GUM_Numeric GUM_SCALAR>
std::string gum::BIFWriter< GUM_SCALAR >::_variableCPT_ ( const Tensor< GUM_SCALAR > & cpt)
private

References _variableCPT_().

Referenced by _variableCPT_().

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◆ _variablesLabels_()

template<GUM_Numeric GUM_SCALAR>
std::string gum::BIFWriter< GUM_SCALAR >::_variablesLabels_ ( const Sequence< const DiscreteVariable * > & varsSeq,
const Instantiation & inst )
private

References BIFWriter(), and _variablesLabels_().

Referenced by _variablesLabels_().

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◆ isModificationAllowed()

template<GUM_Numeric GUM_SCALAR>
GUM_NODISCARD bool gum::BNWriter< GUM_SCALAR >::isModificationAllowed ( ) const
inherited

References GUM_NODISCARD, and isModificationAllowed().

Referenced by isModificationAllowed().

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◆ operator=() [1/2]

template<GUM_Numeric GUM_SCALAR>
BIFWriter & gum::BIFWriter< GUM_SCALAR >::operator= ( BIFWriter< GUM_SCALAR > && )
defaultnoexcept

Default constructor.

References BIFWriter().

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◆ operator=() [2/2]

template<GUM_Numeric GUM_SCALAR>
BIFWriter & gum::BIFWriter< GUM_SCALAR >::operator= ( const BIFWriter< GUM_SCALAR > & )
default

Default constructor.

References BIFWriter().

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◆ setAllowModification()

template<GUM_Numeric GUM_SCALAR>
void gum::BNWriter< GUM_SCALAR >::setAllowModification ( bool am)
inherited

References setAllowModification().

Referenced by setAllowModification().

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◆ toString()

template<GUM_Numeric GUM_SCALAR>
std::string gum::BNWriter< GUM_SCALAR >::toString ( const IBayesNet< GUM_SCALAR > & bn)
inherited

References toString().

Referenced by toString().

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◆ write() [1/2]

template<GUM_Numeric GUM_SCALAR>
void gum::BNWriter< GUM_SCALAR >::write ( std::ostream & output,
IBayesNet< GUM_SCALAR > & bn )
inherited

Writes a Bayesian network in the output stream.

  • If the bn can not be written for syntactical reasons, throw an error or try to correct it (conditioned by the value of allowModification
Parameters
outputThe output stream.
bnThe Bayesian network written in output (not const since updateMetaData).
Exceptions
IOErrorRaised if an I/O error occurs.
SyntaxErrorRaised if syntactical errors in the BN

References write().

Referenced by gum::credal::CredalNet< GUM_SCALAR >::saveBNsMinMax(), write(), and write().

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◆ write() [2/2]

template<GUM_Numeric GUM_SCALAR>
void gum::BNWriter< GUM_SCALAR >::write ( std::string_view filePath,
IBayesNet< GUM_SCALAR > & bn )
inherited

Writes a Bayesian network in the file referenced by filePath.

  • If the file doesn't exists, it is created.
  • If the file exists, it's content will be erased.
  • If the bn can not be written for syntactical reasons, throw an error or try to correct it (conditioned by the value of allowModification
Parameters
filePathThe path to the file used to write the Bayesian network.
bnThe Bayesian network written to the file (not const since updateMetaData).
Exceptions
IOErrorRaised if an I/O error occurs.

References write().

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Member Data Documentation

◆ _allowModification_

template<GUM_Numeric GUM_SCALAR>
bool gum::BNWriter< GUM_SCALAR >::_allowModification_ = false
privateinherited

}

Definition at line 167 of file BNWriter.h.


The documentation for this class was generated from the following file: