python.AsgAnalysisConfig.OutputThinningBlock Class Reference

Inheritance diagram for python.AsgAnalysisConfig.OutputThinningBlock:

Collaboration diagram for python.AsgAnalysisConfig.OutputThinningBlock:

Public Member Functions
	__init__ (self)
	instanceName (self)
	makeAlgs (self, config)

Public Attributes
	containerName
	outputName

Detailed Description

the ConfigBlock for output thinning

Definition at line 758 of file AsgAnalysisConfig.py.

Constructor & Destructor Documentation

__init__()

python.AsgAnalysisConfig.OutputThinningBlock.__init__

(

self

)

Definition at line 761 of file AsgAnalysisConfig.py.

    def __init__ (self) :
        super (OutputThinningBlock, self).__init__ ()
        self.setBlockName('Thinning')
        self.addOption ('containerName', '', type=str,
            noneAction='error',
            info="the name of the input container.",
            meta={'role':'containerRef'})
        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.",
            meta={'role':'selection'})
        self.addOption ('selectionName', '', type=str,
            info="the name of the selection to append this to. If left empty, "
            "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.",
            meta={'role':'selection'})
        self.addOption ('outputName', None, type=str,
            info="an optional name for the output container.",
            meta={'role':'container'})
        self.addOption ('deepCopy', False, type=bool,
            info="run a deep copy of the container.")
        self.addOption ('sortPt', False, type=bool,
            info=r"whether to sort objects in $p_\mathrm{T}$.")
        self.addOption ('noUniformSelection', False, type=bool,
            info="do not run the union over all selections.")
        self.addOption ('containerType', None, type=str,
            info="the type of the container to thin. Only needed in AthenaMT, and only if subsequent code has a data dependency on the created container under that type.")
 

Member Function Documentation

instanceName()

python.AsgAnalysisConfig.OutputThinningBlock.instanceName

(

self

)

Return the instance name for this block

Definition at line 792 of file AsgAnalysisConfig.py.

    def instanceName (self) :
        """Return the instance name for this block"""
        return self.containerName + '_' + self.selectionName + self.postfix
 

makeAlgs()

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

Definition at line 796 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')
            alg.preselection = selection
            alg.particles = config.readName (self.containerName)
            alg.selectionDecoration = 'outputSelect' + postfix
            config.addSelection (self.containerName, alg.selectionDecoration, selection)
            selection = 'outputSelect' + postfix
 
        alg = config.createAlgorithm( 'CP::AsgViewFromSelectionAlg', 'DeepCopyAlg' )
        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 self.containerType is not None :
            alg.outputType = self.containerType
        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
 
 

Member Data Documentation

containerName

python.AsgAnalysisConfig.OutputThinningBlock.containerName

Definition at line 813 of file AsgAnalysisConfig.py.

outputName

python.AsgAnalysisConfig.OutputThinningBlock.outputName

Definition at line 820 of file AsgAnalysisConfig.py.

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

• AsgAnalysisConfig.py