Description of the class TFast. More...

#include <TFast.h>

Inheritance diagram for URANIE::Sensitivity::TFast:

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Collaboration diagram for URANIE::Sensitivity::TFast:

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Public Types
enum	EFunction { kCukier , kSaltelliA , kSaltelliB }

Public Types inherited from URANIE::Sensitivity::TSensitivity
enum	ELauncher { kCode , kCodeRemote , kFunction , kRun , kUnknown }

Public Member Functions
Constructor and Destructor
	TFast ()
	Default constructor.

	TFast (URANIE::DataServer::TDataServer tds, void(fcn)(Double_t , Double_t ), const char varexpinput, const char varexpoutput, Int_t ns=100)
	Default constructor with a function.

	TFast (URANIE::DataServer::TDataServer tds, const char fcn, Int_t ns=100, const char varexpinput="", const char varexpoutput="")
	Default constructor with a function name.

	TFast (URANIE::DataServer::TDataServer tds, URANIE::Launcher::TCode fcode, Int_t ns)
	Default constructor with a tcode.

	TFast (URANIE::DataServer::TDataServer tds, URANIE::Relauncher::TRun run, Int_t ns)
	Default constructor with a trun.

virtual	~TFast ()
	Default destructor.

Functions to the frequencies and the transformed
The Fast method is to choose a frequency to each uncertainty attribute and a transform function to "space filling"
void	setFrequencies (Int_t nfreq, Int_t *valfreq)
	Sets the frequencies array.

void	setTransformFunction (EFunction ntype)
	Sets the Transform fonction.

EFunction	getTransformFunction ()
	Gets the transform function.

void	setM (Int_t m)
	Sets the max number of harmonic.

Int_t	getM ()
	Returns the max number of harmonic to consider.

Parse the option
virtual void	parseOption (Option_t *option="")
	Read option specific to TSobol.

Generation of the sample
virtual void	generateSample (Option_t *option="")

Computes the indexes
virtual void	evaluateIndexes (Option_t *option="")
	Evaluates the index from the dataserver.

Printing Log
virtual void	printLog (Option_t *option="")

Public Member Functions inherited from URANIE::Sensitivity::TSensitivity
	TSensitivity ()
	Default constructor.

	TSensitivity (URANIE::DataServer::TDataServer tds, const char fcn, Int_t ns, const char varexpinput="", const char varexpoutput="", Option_t *option="")
	Default constructor with the name of a function.

	TSensitivity (URANIE::DataServer::TDataServer tds, void(fcn)(Double_t , Double_t ), const char varexpinput, const char varexpoutput, Int_t ns, Option_t *option="")

	TSensitivity (URANIE::DataServer::TDataServer tds, const char varexpinput, const char varexpoutput, Option_t option="")
	Default constructor.

	TSensitivity (URANIE::DataServer::TDataServer tds, URANIE::Launcher::TCode code, Int_t ns, Option_t *option="")
	Default constructor with TCode arg.

	TSensitivity (URANIE::DataServer::TDataServer tds, URANIE::Relauncher::TRun run, Int_t ns, Option_t *option="")
	Default constructor with TRun arg.

virtual	~TSensitivity ()
	Default destructor.

Int_t	getID ()

virtual TTree *	getResultTuple (bool commonresulttuple=true)
	Get the result ntuple (default parameter unused but for Morris method)

double	getValue (const char sorder="", const char sinputname="", const char *sselect="")

vector< int > *	getAttributeElements (string str)

void	setFunction (void(fct)(Double_t , Double_t *), Int_t nx=-1, Int_t ny=1)

TString	getFunctionName ()

void	setSeed (UInt_t nval)

UInt_t	getSeed ()

virtual void	setMethodName (const char *str)
	Set the Method name.

const char *	getMethodName ()
	Get the method name.

Bool_t	getNoIntermediateSaved ()
	Get the noIntermediateSaved flag.

const char *	getIteratorName ()
	Get the name of the iterator attribut of the method.

void	setSensitivityIteratorName (const char *str)
	Set the iterator name devoted to compute sensitivity indexes.

void	setTimeName (TString sname)
	Set the name of the time attribute (only one)

TString	getTimeName ()
	Get the name of the time attribute.

virtual void	setDrawProgressBar (Bool_t bbool=kTRUE)
	Set the "draw progress bar" flag.

void	setUsingErrors (bool thebool)
	Set the "using error results anyway" option.

Bool_t	getDrawProgressBar ()
	Get the clean flag.

Bool_t	isInputCorrelated ()

TMatrixD	getMatrixInputCorrelation ()

Int_t	getNInput ()
	Get the number of input attributes.

Int_t	getNOutput ()
	Get the number of output attributes.

void	setInputCorrelationMatrix (TMatrixD Corr)

void	checkOutputRequested (string attlist, bool fromoption=false)
	Check the output list requested by the user.

void	computeIndexes (Option_t *option="")
	Compute the Sensitivity Indexes.

void	fillIndex (const char sinputname, const char sorder, Double_t dval, const char *algo="", Double_t dvalCILower=-1.0, Double_t dvalCIUpper=-1.0)
	Method to fill in the tree the value of Sensitivity indexes for an input attribute.

virtual void	createTuple (Option_t *option="")

virtual void	drawIndexes (TString sTitre, const char select="", Option_t option="")
	Draws the indexes.

virtual void	setLog ()

void	unsetLog ()

void	changeLog ()

Bool_t	getLog ()

void	setNLauncher (ELauncher codeLauncher)

Public Attributes
Int_t *	_nValFreq
	The array of frequences.

Int_t	_nM
	The max harmonic to consider.

bool	b_plotgraph
	Plot the graph.

Public Attributes inherited from URANIE::Sensitivity::TSensitivity
URANIE::DataServer::TDataServer *	_tds
	Pointeur vers un TDS.

TList *	_listOfInputAttributes
	List of the input branches.

TList *	_listOfOutputAttributes
	List of the input branches.

TString	_sTimeAttribute
	The name of the Time attribute.

Int_t	_nS
	The number of simulation or other information depend on the used method.

Int_t	_nX
	Dimension of the input.

UInt_t	_nY
	Dimension of the target.

UInt_t	_nElY
	Number of element for one selected output.

Int_t	_nbOut
	Total number of Output to be considered.

Int_t	_iOut
	counter for output

unsigned int	_iy
	iterator over number of element

unsigned int	_iely
	iterator over number of element

ELauncher	_nLauncher
	The type of launcher.

TString	_sFunctionName
	The Name of the evaluatuor.

URANIE::Launcher::TCode *	_code
	The tcode.

URANIE::Relauncher::TRun *	_run

TObjArray *	_drawingGarbageCollector
	Garbage collector for prints.

Int_t	_nSeed
	The seed of the random generator.

Bool_t	_bChosenOutputs
	Fact that the input list is provided or not.

Bool_t	_blog
	Boolean for edit the log.

Bool_t	_bdrawProgressBar
	Boolean to know if the progress bar has to be drawn.

Bool_t	_bnoIntermediateSaved
	Boolean to know if the progress bar has to be drawn.

TString	_sIteratorName
	The specific iterator attribute for the method.

TString	_sMethodName
	The method name.

TString	_sSelectedOutput
	The output.

TString	_sSelectedInput
	The input.

map< string, unsigned int >	_mAttributeSize
	Map of size of element for attribute;.

map< string, vector< int > >	_mAttributeElements
	Map of Elements number to run (if vector subselection is requested)

vector< string >	_vOutputNames
	Name of the output.

TCanvas *	_canvas
	Canvas object to deal with.

void(*	_pFunction )(double , double )

TTree *	_ntresult
	The TTree of results.

Private Member Functions
void	stdInit ()

Private Attributes
EFunction	_nFunction
	The function G.

Additional Inherited Members
Protected Member Functions inherited from URANIE::Sensitivity::TSensitivity
void	checkCanvasCreation (bool newcan)
	Create a canvas if needed.

void	drawIndexesHistogram (TString sTitre, const char select="", Option_t option="")
	Draws indexes with an histogram.

void	drawIndexesPie (TString sTitre, const char select="", Option_t option="")
	Draws indexes with an pie chart.

virtual void	preTreatment ()
	PreTreatment for every output.

virtual void	postTreatment ()
	PostTreatment for every output.

void	setNoIntermediateSaved (Bool_t bbool=kTRUE)
	Set the "only final file" flag.

Protected Attributes inherited from URANIE::Sensitivity::TSensitivity
Char_t	_sOutputAttribute [MAXLENGTHSTRING]
	The name of the output attribute.

Char_t	_sInputAttribute [MAXLENGTHSTRING]
	The name of the input attribute.

Char_t	_sOrder [MAXLENGTHSTRING]
	The order of sensitivity indexes.

Char_t	_sMethod [MAXLENGTHSTRING]
	The name of the method.

Char_t	_sAlgorithm [MAXLENGTHSTRING]
	The name of the algorithm to compute the index.

Double_t	_valSobolCrt
	The value of sensitivity indexes.

Double_t	_valSobolCILower
	The value of lower Condidence Interval (95)

Double_t	_valSobolCIUpper
	The value of upper Condidence Interval (95)

TMatrixD	_minputCorr
	Input correlation matrix if sample needs to be correlated.

Bool_t	_bisInputCorrelated
	State whether the input correlation matrix is set.

Bool_t	_bgoingThroughError
	State whether the error must not block the computation.

Detailed Description

Description of the class TFast.

To be written by the developper.

Member Enumeration Documentation

◆ EFunction

enum URANIE::Sensitivity::TFast::EFunction

Enumerator
kCukier
kSaltelliA
kSaltelliB

Constructor & Destructor Documentation

◆ TFast() [1/5]

URANIE::Sensitivity::TFast::TFast ( )

Default constructor.

Referenced by ClassImp().

◆ TFast() [2/5]

URANIE::Sensitivity::TFast::TFast	(	URANIE::DataServer::TDataServer *	tds,
		void()(Double_t , Double_t *)	fcn,
		const char *	varexpinput,
		const char *	varexpoutput,
		Int_t	ns = `100`
	)

Default constructor with a function.

◆ TFast() [3/5]

URANIE::Sensitivity::TFast::TFast	(	URANIE::DataServer::TDataServer *	tds,
		const char *	fcn,
		Int_t	ns = `100`,
		const char *	varexpinput = `""`,
		const char *	varexpoutput = `""`
	)

Default constructor with a function name.

◆ TFast() [4/5]

URANIE::Sensitivity::TFast::TFast	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Launcher::TCode *	fcode,
		Int_t	ns
	)

Default constructor with a tcode.

◆ TFast() [5/5]

URANIE::Sensitivity::TFast::TFast	(	URANIE::DataServer::TDataServer *	tds,
		URANIE::Relauncher::TRun *	run,
		Int_t	ns
	)

Default constructor with a trun.

◆ ~TFast()

virtual URANIE::Sensitivity::TFast::~TFast ( )

virtual

Default destructor.

Referenced by ClassImp().

Member Function Documentation

◆ evaluateIndexes()

virtual void URANIE::Sensitivity::TFast::evaluateIndexes ( Option_t * option = "" )

virtual

Evaluates the index from the dataserver.

Implements URANIE::Sensitivity::TSensitivity.

Reimplemented in URANIE::Sensitivity::TRBD.

Referenced by ClassImp().

◆ generateSample()

virtual void URANIE::Sensitivity::TFast::generateSample ( Option_t * option = "" )

virtual

Implements URANIE::Sensitivity::TSensitivity.

Reimplemented in URANIE::Sensitivity::TRBD.

Referenced by ClassImp(), and ClassImp().

◆ getM()

Int_t URANIE::Sensitivity::TFast::getM ( )

inline

Returns the max number of harmonic to consider.

References _nM.

◆ getTransformFunction()

EFunction URANIE::Sensitivity::TFast::getTransformFunction ( )

inline

Gets the transform function.

References _nFunction.

◆ parseOption()

virtual void URANIE::Sensitivity::TFast::parseOption ( Option_t * option = "" )

virtual

Read option specific to TSobol.

Possible options specific to this methods are

"graph": do the graph of the used frequencies

Reimplemented from URANIE::Sensitivity::TSensitivity.

Referenced by ClassImp().

◆ printLog()

virtual void URANIE::Sensitivity::TFast::printLog ( Option_t * option = "" )

virtual

Reimplemented from URANIE::Sensitivity::TSensitivity.

Reimplemented in URANIE::Sensitivity::TRBD.

Referenced by ClassImp(), and ClassImp().

◆ setFrequencies()

void URANIE::Sensitivity::TFast::setFrequencies	(	Int_t	nfreq,
		Int_t *	valfreq
	)

Sets the frequencies array.

Referenced by ClassImp().

◆ setM()

void URANIE::Sensitivity::TFast::setM ( Int_t m )

inline

Sets the max number of harmonic.

References _nM.

◆ setTransformFunction()

void URANIE::Sensitivity::TFast::setTransformFunction ( EFunction ntype )

inline

Sets the Transform fonction.

References _nFunction.

◆ stdInit()

void URANIE::Sensitivity::TFast::stdInit ( )

private

Referenced by ClassImp().

Member Data Documentation

◆ _nFunction

EFunction URANIE::Sensitivity::TFast::_nFunction

private

The function G.

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

◆ _nM

Int_t URANIE::Sensitivity::TFast::_nM

The max harmonic to consider.

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

◆ _nValFreq

Int_t* URANIE::Sensitivity::TFast::_nValFreq

The array of frequences.

Referenced by ClassImp(), and ClassImp().

◆ b_plotgraph

bool URANIE::Sensitivity::TFast::b_plotgraph

Plot the graph.

Referenced by ClassImp(), and ClassImp().

Documentation / Developer's manual

Available modules

Public Types

Public Member Functions

Public Attributes

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Member Enumeration Documentation

◆ EFunction

Constructor & Destructor Documentation

◆ TFast() [1/5]

◆ TFast() [2/5]

◆ TFast() [3/5]

◆ TFast() [4/5]

◆ TFast() [5/5]

◆ ~TFast()

Member Function Documentation

◆ evaluateIndexes()

◆ generateSample()

◆ getM()

◆ getTransformFunction()

◆ parseOption()

◆ printLog()

◆ setFrequencies()

◆ setM()

◆ setTransformFunction()

◆ stdInit()

Member Data Documentation

◆ _nFunction

◆ _nM

◆ _nValFreq

◆ b_plotgraph