aGrUM 2.3.2
a C++ library for (probabilistic) graphical models
gum::BNWriter< GUM_SCALAR > Class Template Referenceabstract

virtual class for writing a BN to a file. More...

#include <agrum/BN/io/BNWriter.h>

Inheritance diagram for gum::BNWriter< GUM_SCALAR >:
Collaboration diagram for gum::BNWriter< GUM_SCALAR >:

Public Member Functions

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

Protected Member Functions

virtual void _doWrite (std::ostream &output, const IBayesNet< GUM_SCALAR > &bn)=0
 Writes a Bayesian network in the output stream.
virtual void _doWrite (const std::string &filePath, const IBayesNet< GUM_SCALAR > &bn)=0
 Writes a Bayesian network in the file referenced by filePath.
bool _allowModification_ = false
 }
virtual void _syntacticalCheck (const IBayesNet< GUM_SCALAR > &bn)
 Check whether the BN is syntactically correct for BIF format.
void _validCharInNamesCheck (const IBayesNet< GUM_SCALAR > &bn)
 }
std::string _onlyValidCharsInName (const std::string &name)
 }
std::string _buildNameWithOnlyValidChars (const std::string &name)
 }

Detailed Description

template<typename GUM_SCALAR>
class gum::BNWriter< GUM_SCALAR >

virtual class for writing a BN to a file.

Every class used to write the content of a Bayesian network in a stream, or a file must be a subclass of BNWriter.

Definition at line 77 of file BNWriter.h.

Constructor & Destructor Documentation

◆ BNWriter() [1/3]

template<typename GUM_SCALAR>
gum::BNWriter< GUM_SCALAR >::BNWriter ( )
explicit

Default constructor.

Referenced by BNWriter(), BNWriter(), operator=(), and operator=().

Here is the caller graph for this function:

◆ ~BNWriter()

template<typename GUM_SCALAR>
virtual gum::BNWriter< GUM_SCALAR >::~BNWriter ( )
virtual

Default destructor.

◆ BNWriter() [2/3]

template<typename GUM_SCALAR>
gum::BNWriter< GUM_SCALAR >::BNWriter ( const BNWriter< GUM_SCALAR > & )
default

References BNWriter().

Here is the call graph for this function:

◆ BNWriter() [3/3]

template<typename GUM_SCALAR>
gum::BNWriter< GUM_SCALAR >::BNWriter ( BNWriter< GUM_SCALAR > && )
defaultnoexcept

References BNWriter().

Here is the call graph for this function:

Member Function Documentation

◆ _buildNameWithOnlyValidChars()

template<typename GUM_SCALAR>
std::string gum::BNWriter< GUM_SCALAR >::_buildNameWithOnlyValidChars ( const std::string & name)
protected

}

References _buildNameWithOnlyValidChars().

Referenced by _buildNameWithOnlyValidChars().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ _doWrite() [1/2]

template<typename GUM_SCALAR>
virtual void gum::BNWriter< GUM_SCALAR >::_doWrite ( const std::string & filePath,
const IBayesNet< GUM_SCALAR > & bn )
protectedpure virtual

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.

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

Implemented in gum::BIFWriter< GUM_SCALAR >, gum::BIFXMLBNWriter< GUM_SCALAR >, gum::CNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::ContextualDependenciesCNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::DSLWriter< GUM_SCALAR >, gum::FactorisedValuesCNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::GeneralizedCNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::NetWriter< GUM_SCALAR >, gum::O3prmBNWriter< GUM_SCALAR >, gum::UAIBNWriter< GUM_SCALAR >, and gum::XDSLBNWriter< GUM_SCALAR >.

References _doWrite().

Here is the call graph for this function:

◆ _doWrite() [2/2]

template<typename GUM_SCALAR>
virtual void gum::BNWriter< GUM_SCALAR >::_doWrite ( std::ostream & output,
const IBayesNet< GUM_SCALAR > & bn )
protectedpure virtual

Writes a Bayesian network in the output stream.

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

Implemented in gum::BIFWriter< GUM_SCALAR >, gum::BIFXMLBNWriter< GUM_SCALAR >, gum::CNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::CNFWriter< GUM_SCALAR, ExactPolicy >, gum::ContextualDependenciesCNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::DSLWriter< GUM_SCALAR >, gum::FactorisedValuesCNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::GeneralizedCNFWriter< GUM_SCALAR, IApproximationPolicy >, gum::NetWriter< GUM_SCALAR >, gum::O3prmBNWriter< GUM_SCALAR >, gum::UAIBNWriter< GUM_SCALAR >, and gum::XDSLBNWriter< GUM_SCALAR >.

References _doWrite().

Referenced by _doWrite(), and _doWrite().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ _onlyValidCharsInName()

template<typename GUM_SCALAR>
std::string gum::BNWriter< GUM_SCALAR >::_onlyValidCharsInName ( const std::string & name)
protected

}

References _onlyValidCharsInName().

Referenced by _onlyValidCharsInName().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ _syntacticalCheck()

template<typename GUM_SCALAR>
virtual void gum::BNWriter< GUM_SCALAR >::_syntacticalCheck ( const IBayesNet< GUM_SCALAR > & bn)
protectedvirtual

Check whether the BN is syntactically correct for BIF format.

Exceptions
FatalErrorif found.

Reimplemented in gum::BIFWriter< GUM_SCALAR >, and gum::DSLWriter< GUM_SCALAR >.

References _syntacticalCheck().

Referenced by _syntacticalCheck().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ _validCharInNamesCheck()

template<typename GUM_SCALAR>
void gum::BNWriter< GUM_SCALAR >::_validCharInNamesCheck ( const IBayesNet< GUM_SCALAR > & bn)
protected

}

References _validCharInNamesCheck().

Referenced by _validCharInNamesCheck().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ isModificationAllowed()

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

References GUM_NODISCARD, and isModificationAllowed().

Referenced by isModificationAllowed().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ operator=() [1/2]

template<typename GUM_SCALAR>
BNWriter & gum::BNWriter< GUM_SCALAR >::operator= ( BNWriter< GUM_SCALAR > && )
defaultnoexcept

References BNWriter().

Here is the call graph for this function:

◆ operator=() [2/2]

template<typename GUM_SCALAR>
BNWriter & gum::BNWriter< GUM_SCALAR >::operator= ( const BNWriter< GUM_SCALAR > & )
default

References BNWriter().

Here is the call graph for this function:

◆ setAllowModification()

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

References setAllowModification().

Referenced by setAllowModification().

Here is the call graph for this function:
Here is the caller graph for this function:

◆ write() [1/2]

template<typename GUM_SCALAR>
void gum::BNWriter< GUM_SCALAR >::write ( const std::string & filePath,
const IBayesNet< GUM_SCALAR > & bn )

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 writen in the file.
Exceptions
IOErrorRaised if an I/O error occurs.

References write().

Here is the call graph for this function:

◆ write() [2/2]

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

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.
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().

Here is the call graph for this function:
Here is the caller graph for this function:

Member Data Documentation

◆ _allowModification_

template<typename GUM_SCALAR>
bool gum::BNWriter< GUM_SCALAR >::_allowModification_ = false
private

}

Definition at line 163 of file BNWriter.h.


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