Description of the class TNisp. More...

#include <TNisp.h>

Public Member Functions
Constructor and Destructor
	TNisp (TDataServer *tds)
	Constructor from a TDataServer object.

virtual	~TNisp ()
	Destructor.

void	generateSample (TString type, Int_t level, Option_t *option="nosavegvx")
	Realisation of a sample.

void	setSample (TString methode, Option_t *option="nosavegvx")
	Specification of a sample from another componant.

Int_t	getNAttributes ()
	Number of ramdom variable i.e. stochastic dimension (_nx)

Int_t	getNPatterns ()
	Get the number of simulation i.e. size of the sample (_size)

Int_t	getLevel ()
	Level.

void	setLevel (Int_t level)
	set the level of the method used to build the sample

Printing Log
void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

virtual void	printLog (Option_t *option="")

Public Attributes
TDataServer *	_tds
	Object of type TDataServer.

SetRandomVariable *	_gvx

SetRandomVariable *	_gvu

Int_t	_nx
	Number of random variable.

Int_t	_ns
	Number of simulation.

Int_t	_level
	Level of the method used to build the sample.

TDataSpecification *	_listAttIn
	Object of type TDataSpecification used to index the name of the variables.

Bool_t	_bHasWeight
	Boolean used to verify the use (or not) of integration weight.

TString	_sWeight
	Name of the integration weight.

Protected Attributes
Bool_t	_blog
	Boolean for edit the log.

Private Attributes
Bool_t	_bSavePsi
	Boolean used to active the saving of the stochastic variables in the tds.

Bool_t	_bIsSample
	Boolean used to verify the use (or not) of the method setSample.x.

Bool_t	_bError
	Boolean used to write a warning if the option name is KO.

Bool_t	_bSuppress
	Boolean used to write a warning if the tuple of tds already exist.

Detailed Description

Description of the class TNisp.

The class TNisp is associated to the class TDataServer. It's a mirror of the class SetRandomVariable, a class of the NISP library. It's used to access to functionalities of the NIPS library in URANIE. It's a class needed to create, manage, .. a random variables group.

Constructor & Destructor Documentation

◆ TNisp()

URANIE::Modeler::TNisp::TNisp ( TDataServer * tds )

Constructor from a TDataServer object.

The constructor builds a object TNisp thanks to information which come from a object TDataServer. The elements which constitue the object TNisp are determinated in the following way:

_gvx: The stochastic variables are determinated from the type of the attribute of the stochastic base. This type is find in the TDataServer tds,
_gvu: The uncertain parameters come from the TDataServer named tds,
_nx: The number of random variarble is the number of attribute of th TDataServer,
_ns: The number of simulation (size of the sample) is not determinate here. This value is known when the sample was genarated,
_tds: It's the TDataServer given in parameter.

Parameters

tds	: TDataServer object.

Referenced by ClassImp().

◆ ~TNisp()

virtual URANIE::Modeler::TNisp::~TNisp ( )

virtual

Destructor.

Referenced by ClassImp().

Member Function Documentation

◆ changeLog()

void URANIE::Modeler::TNisp::changeLog ( )

inline

References _blog.

◆ generateSample()

void URANIE::Modeler::TNisp::generateSample	(	TString	type,
		Int_t	level,
		Option_t *	option = `"nosavegvx"`
	)

Realisation of a sample.

Build a sample by the method "type" with the size or degree associed "level".

Parameters

type	: Name of the method used to build the sample;
level	: Follow the build sample's method choosen "level" corresponds to the size or the degree;
option	: (optional) Save the stochastic variables in the tds. By defaut no save.

Referenced by ClassImp().

◆ getLevel()

Int_t URANIE::Modeler::TNisp::getLevel ( )

Level.

Referenced by ClassImp().

◆ getLog()

Bool_t URANIE::Modeler::TNisp::getLog ( )

inline

References _blog.

◆ getNAttributes()

Int_t URANIE::Modeler::TNisp::getNAttributes ( )

Number of ramdom variable i.e. stochastic dimension (_nx)

Return the number of attributes

Referenced by ClassImp().

◆ getNPatterns()

Int_t URANIE::Modeler::TNisp::getNPatterns ( )

Get the number of simulation i.e. size of the sample (_size)

Return the numbers of patterns.

Referenced by ClassImp(), ClassImp(), and ClassImp().

◆ printLog()

virtual void URANIE::Modeler::TNisp::printLog ( Option_t * option = "" )

virtual

Referenced by ClassImp().

◆ setLevel()

void URANIE::Modeler::TNisp::setLevel ( Int_t level )

set the level of the method used to build the sample

set the level

Referenced by ClassImp().

◆ setLog()

void URANIE::Modeler::TNisp::setLog ( )

inline

References _blog.

◆ setSample()

void URANIE::Modeler::TNisp::setSample	(	TString	methode,
		Option_t *	option = `"nosavegvx"`
	)

Specification of a sample from another componant.

Build a sample from a another sample (LHS, ...)

Parameters

methode	: Name of the sample;
option	: (optional) Save the stochastic variables in the tds. By defaut no save.

Referenced by ClassImp().

◆ unsetLog()

void URANIE::Modeler::TNisp::unsetLog ( )

inline

References _blog.

Member Data Documentation

◆ _bError

Bool_t URANIE::Modeler::TNisp::_bError

private

Boolean used to write a warning if the option name is KO.

Referenced by ClassImp().

◆ _bHasWeight

Bool_t URANIE::Modeler::TNisp::_bHasWeight

Boolean used to verify the use (or not) of integration weight.

Referenced by ClassImp().

◆ _bIsSample

Bool_t URANIE::Modeler::TNisp::_bIsSample

private

Boolean used to verify the use (or not) of the method setSample.x.

Referenced by ClassImp().

◆ _blog

Bool_t URANIE::Modeler::TNisp::_blog

protected

Boolean for edit the log.

Referenced by changeLog(), ClassImp(), getLog(), setLog(), and unsetLog().

◆ _bSavePsi

Bool_t URANIE::Modeler::TNisp::_bSavePsi

private

Boolean used to active the saving of the stochastic variables in the tds.

Referenced by ClassImp().

◆ _bSuppress

Bool_t URANIE::Modeler::TNisp::_bSuppress

private

Boolean used to write a warning if the tuple of tds already exist.

Referenced by ClassImp().

◆ _gvu

SetRandomVariable* URANIE::Modeler::TNisp::_gvu

Object of type SetRandomVariable (library Nisp). It's the uncertain parameters modeled by random variable.

Referenced by ClassImp().

◆ _gvx

SetRandomVariable* URANIE::Modeler::TNisp::_gvx

Object of type SetRandomVariable (library Nisp). It's the stochastic variable modeled by random variable.

Referenced by ClassImp(), and ClassImp().

◆ _level

Int_t URANIE::Modeler::TNisp::_level

Level of the method used to build the sample.

Referenced by ClassImp().

◆ _listAttIn

TDataSpecification* URANIE::Modeler::TNisp::_listAttIn

Object of type TDataSpecification used to index the name of the variables.

Referenced by ClassImp(), and ClassImp().

◆ _ns

Int_t URANIE::Modeler::TNisp::_ns

Number of simulation.

Referenced by ClassImp(), and ClassImp().

◆ _nx

Int_t URANIE::Modeler::TNisp::_nx

Number of random variable.

Referenced by ClassImp().

◆ _sWeight

TString URANIE::Modeler::TNisp::_sWeight

Name of the integration weight.

Referenced by ClassImp().

◆ _tds

TDataServer* URANIE::Modeler::TNisp::_tds

Object of type TDataServer.

Referenced by ClassImp(), and ClassImp().

Documentation / Developer's manual

Available modules

Public Member Functions

Public Attributes

Protected Attributes

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ TNisp()

◆ ~TNisp()

Member Function Documentation

◆ changeLog()

◆ generateSample()

◆ getLevel()

◆ getLog()

◆ getNAttributes()

◆ getNPatterns()

◆ printLog()

◆ setLevel()

◆ setLog()

◆ setSample()

◆ unsetLog()

Member Data Documentation

◆ _bError

◆ _bHasWeight

◆ _bIsSample

◆ _blog

◆ _bSavePsi

◆ _bSuppress

◆ _gvu

◆ _gvx

◆ _level

◆ _listAttIn

◆ _ns

◆ _nx

◆ _sWeight

◆ _tds