python.AnaAlgorithmMeta.AnaAlgorithmMeta Class Reference

Inheritance diagram for python.AnaAlgorithmMeta.AnaAlgorithmMeta:

Collaboration diagram for python.AnaAlgorithmMeta.AnaAlgorithmMeta:

Public Types
typedef HLT::TypeInformation::for_each_type_c< typenameEDMLIST::map, my_functor, my_result<>, my_arg< HLT::TypeInformation::get_cont, CONTAINER > >::type	result

Public Member Functions
	__init__ (self, stageName, inputPropName, outputPropName, metaConfig, dynConfig)

Static Public Member Functions
	allowedStageNames ()

Public Attributes
	stageName = stageName
	metaConfig = metaConfig
	dynConfig = dynConfig
dict	inputPropName = inputPropName
dict	outputPropName = outputPropName

Detailed Description

the meta-information for a single algorithm inside AnaAlgSequence

There is a fair amount of meta-information we store for each
algorithm.  Originally we had stored each piece of
meta-information in a separate array (with each entry in each
array corresponding to a different algorithm).  Though now this is
changed to a single array with each entry being a meta-object for
a separate algorithm.

Definition at line 5 of file AnaAlgorithmMeta.py.

Member Typedef Documentation

result

typedef HLT::TypeInformation::for_each_type_c<typenameEDMLIST::map,my_functor,my_result<>,my_arg<HLT::TypeInformation::get_cont,CONTAINER>>::type master_search< typenameEDMLIST::map, HLT::TypeInformation::get_cont, CONTAINER >::result

inherited

Definition at line 90 of file EDM_MasterSearch.h.

Constructor & Destructor Documentation

__init__()

python.AnaAlgorithmMeta.AnaAlgorithmMeta.__init__	(		self,
			stageName,
			inputPropName,
			outputPropName,
			metaConfig,
			dynConfig )

Definition at line 16 of file AnaAlgorithmMeta.py.

    def __init__( self, stageName, inputPropName, outputPropName, metaConfig, dynConfig ):
 
        if stageName not in self.allowedStageNames() :
            raise ValueError ('unknown stage name ' + stageName + ' allowed stage names are ' + ', '.join(self.allowedStageNames()))
 
        self.stageName = stageName
 
        self.metaConfig = metaConfig
        self.dynConfig = dynConfig
 
        if isinstance( inputPropName, dict ):
            self.inputPropName = inputPropName
        else:
            if inputPropName:
                self.inputPropName = { "default" : inputPropName }
            else:
                self.inputPropName = None
                pass
            pass
 
        if isinstance( outputPropName, dict ):
            self.outputPropName = outputPropName
        else:
            if outputPropName:
                self.outputPropName = { "default" : outputPropName }
            else:
                self.outputPropName = None
                pass
            pass
 
        pass
 

Member Function Documentation

allowedStageNames()

python.AnaAlgorithmMeta.AnaAlgorithmMeta.allowedStageNames ( )

static

Definition at line 49 of file AnaAlgorithmMeta.py.

    def allowedStageNames():
        return ["prepare", "calibration", "selection", "efficiency", "undefined"]
 

Member Data Documentation

dynConfig

python.AnaAlgorithmMeta.AnaAlgorithmMeta.dynConfig = dynConfig

Definition at line 24 of file AnaAlgorithmMeta.py.

inputPropName

dict python.AnaAlgorithmMeta.AnaAlgorithmMeta.inputPropName = inputPropName

Definition at line 27 of file AnaAlgorithmMeta.py.

metaConfig

python.AnaAlgorithmMeta.AnaAlgorithmMeta.metaConfig = metaConfig

Definition at line 23 of file AnaAlgorithmMeta.py.

outputPropName

dict python.AnaAlgorithmMeta.AnaAlgorithmMeta.outputPropName = outputPropName

Definition at line 37 of file AnaAlgorithmMeta.py.

stageName

python.AnaAlgorithmMeta.AnaAlgorithmMeta.stageName = stageName

Definition at line 21 of file AnaAlgorithmMeta.py.

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

• AnaAlgorithmMeta.py