python.AsgAnalysisConfig.OutputThinningBlock Class Reference

Inheritance diagram for python.AsgAnalysisConfig.OutputThinningBlock:

Collaboration diagram for python.AsgAnalysisConfig.OutputThinningBlock:

Public Member Functions
def	__init__ (self, containerName='', configName='')
def	makeAlgs (self, config)

Detailed Description

the ConfigBlock for output thinning

Definition at line 476 of file AsgAnalysisConfig.py.

Constructor & Destructor Documentation

__init__()

def python.AsgAnalysisConfig.OutputThinningBlock.__init__	(		self,
			containerName = '',
			configName = ''
	)

Definition at line 479 of file AsgAnalysisConfig.py.

    def __init__ (self, containerName='', configName='') :
        # configName is not used. To be removed.
        super (OutputThinningBlock, self).__init__ ()
        self.addOption ('containerName', containerName, type=str,
            noneAction='error',
            info="the name of the input container.")
        self.addOption ('postfix', '', type=str,
            info="a postfix to apply to decorations and algorithm names. "
            "Typically not needed here.")
        self.addOption ('selection', '', type=str,
            info="the name of an optional selection decoration to use.")
        self.addOption ('selectionName', '', type=str,
            info="the name of the selection to append this to. The default is "
            "'' (empty string), meaning that the cuts are applied to every "
            "object within the container. Specifying a name (e.g. loose) "
            "applies the cut only to those object who also pass that selection.")
        self.addOption ('outputName', None, type=str,
            info="an optional name for the output container.")
        # TODO: add info string
        self.addOption ('deepCopy', False, type=bool,
            info="")
        self.addOption ('sortPt', False, type=bool,
            info="whether to sort objects in pt")
        # TODO: add info string
        self.addOption ('noUniformSelection', False, type=bool,
            info="")
 

Member Function Documentation

makeAlgs()

def python.AsgAnalysisConfig.OutputThinningBlock.makeAlgs	(		self,
			config
	)

Definition at line 506 of file AsgAnalysisConfig.py.

    def makeAlgs (self, config) :
 
        postfix = self.postfix
        if postfix != '' and postfix[0] != '_' :
            postfix = '_' + postfix
 
        selection = config.getFullSelection (self.containerName, self.selectionName)
        if selection == '' :
            selection = self.selection
        elif self.selection != '' :
            selection = selection + '&&' + self.selection
 
        if selection != '' and not self.noUniformSelection :
            alg = config.createAlgorithm( 'CP::AsgUnionSelectionAlg', 'UnionSelectionAlg' + self.containerName + postfix)
            alg.preselection = selection
            alg.particles = config.readName (self.containerName)
            alg.selectionDecoration = 'outputSelect' + postfix
            selection = 'outputSelect' + postfix
 
        alg = config.createAlgorithm( 'CP::AsgViewFromSelectionAlg', 'DeepCopyAlg' + self.containerName + postfix )
        alg.input = config.readName (self.containerName)
        if self.outputName is not None :
            alg.output = self.outputName + '_%SYS%'
            config.addOutputContainer (self.containerName, self.outputName)
        else :
            alg.output = config.copyName (self.containerName)
        if selection != '' :
            alg.selection = [selection]
        else :
            alg.selection = []
        alg.deepCopy = self.deepCopy
        if self.sortPt and not config.noSystematics() :
            raise ValueError ("Sorting by pt is not supported with systematics")
        alg.sortPt = self.sortPt
 
 

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

• AsgAnalysisConfig.py