Collaboration diagram for python.ConfigAccumulator.ConfigAccumulator:

Public Member Functions
def	__init__ (self, *flags=None, algSeq=None, noSysSuffix=False, noSystematics=None, dataType=None, isPhyslite=None, geometry=None, dsid=0, campaign=None, runNumber=None, autoconfigFromFlags=None, dataYear=0)

def	noSystematics (self)

def	flags (self)

def	autoconfigFlags (self)

def	dataType (self)

def	isPhyslite (self)

def	geometry (self)

def	dsid (self)

def	campaign (self)

def	runNumber (self)

def	dataYear (self)

def	generatorInfo (self)

def	hltSummary (self)

def	algPostfix (self)

def	setAlgPostfix (self, str postfix)

def	getAlgorithm (self, str name)

def	createAlgorithm (self, type, name, reentrant=False)

def	createService (self, type, name)

def	createPublicTool (self, type, name)

def	addPrivateTool (self, propertyName, toolType)

def	setSourceName (self, containerName, sourceName, *originalName=None, isMet=False)

def	writeName (self, containerName, *isMet=None)

def	readName (self, containerName)

def	copyName (self, containerName)

def	wantCopy (self, containerName)

def	originalName (self, containerName)

def	getContainerMeta (self, containerName, metaField, defaultValue=None, *failOnMiss=False)

def	setContainerMeta (self, containerName, metaField, value, *allowOverwrite=False)

def	isMetContainer (self, containerName)

def	readNameAndSelection (self, containerName, *excludeFrom=None)

def	nextPass (self)

def	getPreselection (self, containerName, selectionName, *asList=False)

def	getFullSelection (self, containerName, selectionName, *skipBase=False, excludeFrom=None)

def	getSelectionCutFlow (self, containerName, selectionName)

def	addEventCutFlow (self, selection, decorations)

def	getEventCutFlow (self, selection)

def	addSelection (self, containerName, selectionName, decoration, **kwargs)

def	addOutputContainer (self, containerName, outputContainerName)

def	checkOutputContainer (self, containerName)

def	getOutputContainerOrigin (self, outputContainerName)

def	addOutputVar (self, containerName, variableName, outputName, *noSys=False, enabled=True)

def	getOutputVars (self, containerName)

def	getSelectionNames (self, containerName, excludeFrom=None)

Public Attributes
	CA

Private Attributes
	_flags

	_dataType

	_isPhyslite

	_hltSummary

	_algSeq

	_noSystematics

	_noSysSuffix

	_algPostfix

	_containerConfig

	_outputContainers

	_pass

	_algorithms

	_currentAlg

	_selectionNameExpr

	_eventcutflow

Detailed Description

a class that accumulates a configuration from blocks into an
algorithm sequence

This is used as argument to the ConfigurationBlock methods, which
need to be called in the correct order.  This class will track all
meta-information that needs to be communicated between blocks
during configuration, and also add the created algorithms to the
sequence.

Use/access of containers in the event store is handled via
references that this class hands out.  This happens in a separate
step before the algorithms are created, as the naming of
containers will depend on where in the chain the container is
used.

Definition at line 120 of file ConfigAccumulator.py.

Constructor & Destructor Documentation

◆ init()

def python.ConfigAccumulator.ConfigAccumulator.__init__	(		self,
		*	flags = `None`,
			algSeq = `None`,
			noSysSuffix = `False`,
			noSystematics = `None`,
			dataType = `None`,
			isPhyslite = `None`,
			geometry = `None`,
			dsid = `0`,
			campaign = `None`,
			runNumber = `None`,
			autoconfigFromFlags = `None`,
			dataYear = `0`
	)

Definition at line 137 of file ConfigAccumulator.py.

     def __init__ (self, *, flags=None, algSeq=None, noSysSuffix=False, noSystematics=None, dataType=None, isPhyslite=None, geometry=None, dsid=0, campaign=None, runNumber=None, autoconfigFromFlags=None, dataYear=0):
  
         # Historically we have used the identifier
         # `autoconfigFromFlags`, but in the rest of the code base
         # `flags` is used. So for now we allow either, and can hopefully
         # at some point remove the former (21 Aug 25).
         if autoconfigFromFlags is not None:
             if flags is not None:
                 raise ValueError("Cannot pass both flags and autoconfigFromFlags arguments")
             flags = autoconfigFromFlags
             warnings.warn ('Using autoconfigFromFlags parameter is deprecated, use flags instead', category=deprecationWarningCategory, stacklevel=2)
         self._flags = flags
  
         # Historically the user was expected to pass in meta-data
         # manually, which was a complete underestimate of the amount of
         # meta-data needed. The current recommendation is to pass in a
         # configuration flags object instead. The code below will raise
         # an error if both are done, and if no configuration flags are
         # passed in, it will try to create a flags object from the
         # passed in parameters.
         if self._flags is not None:
             if dataType is not None:
                 raise ValueError("Cannot pass both dataType and flags/autoconfigFromFlags arguments")
             if isPhyslite is not None:
                 raise ValueError("Cannot pass both isPhyslite and flags/autoconfigFromFlags arguments")
             if geometry is not None:
                 raise ValueError("Cannot pass both geometry and flags/autoconfigFromFlags arguments")
             if dsid != 0:
                 raise ValueError("Cannot pass both dsid and flags/autoconfigFromFlags arguments")
             if campaign is not None:
                 raise ValueError("Cannot pass both campaign and flags/autoconfigFromFlags arguments")
             if runNumber is not None:
                 raise ValueError("Cannot pass both runNumber and flags/autoconfigFromFlags arguments")
             if dataYear != 0:
                 raise ValueError("Cannot pass both dataYear and flags/autoconfigFromFlags arguments")
  
             if self._flags.Input.isMC:
                 if self._flags.Sim.ISF.Simulator.usesFastCaloSim():
                     dataType = DataType.FastSim
                 else:
                     dataType = DataType.FullSim
             else:
                 dataType = DataType.Data
             isPhyslite = 'StreamDAOD_PHYSLITE' in self._flags.Input.ProcessingTags
             from TrigDecisionTool.TrigDecisionToolHelpers import (
                 getRun3NavigationContainerFromInput_forAnalysisBase)
             hltSummary = getRun3NavigationContainerFromInput_forAnalysisBase(self._flags)
         else:
             warnings.warn ('it is deprecated to configure meta-data for analysis configuration manually, please read the configuration flags via the meta-data reader', category=deprecationWarningCategory, stacklevel=2)
             from AthenaConfiguration.AllConfigFlags import initConfigFlags
             flags = initConfigFlags()
             if dataType is None:
                 raise ValueError ("need to specify dataType if flags are not set")
             # legacy mappings of string arguments
             if isinstance(dataType, str):
                 if dataType == 'mc':
                     dataType = DataType.FullSim
                 elif dataType == 'afii':
                     dataType = DataType.FastSim
                 else:
                     dataType = DataType(dataType)
             if isPhyslite is None:
                 isPhyslite = False
             if geometry is not None:
                 # allow possible string argument for `geometry` and convert it to enum
                 geometry = LHCPeriod(geometry)
                 if geometry is LHCPeriod.Run1:
                     raise ValueError ("invalid Run geometry: %s" % geometry.value)
                 flags.GeoModel.Run = geometry
             if dsid != 0:
                 flags.Input.MCChannelNumber = dsid
             if campaign is not None:
                 flags.Input.MCCampaign = campaign
             if dataYear != 0:
                 flags.Input.DataYear = dataYear
             if runNumber is None:
                 # not sure if we should just use a default run number
                 # here, or just report nothing
                 runNumber = 284500
             flags.Input.RunNumbers = [runNumber]
             hltSummary = 'HLTNav_Summary_DAODSlimmed'
             flags.lock()
             self._flags = flags
  
         # These don't seem to have a direct equivalent in the
         # configuration flags. For now I'm keeping them (21 Aug 25), but
         # they might be replaced with something that is more directly in
         # the configuration flags in the future.
         self._dataType = dataType
         self._isPhyslite = isPhyslite
         self._hltSummary = hltSummary
  
         # From here on, we are no longer dealing with flags or
         # meta-data, but actual internal variables we need to manage the
         # creation of components.
         self._algSeq = algSeq
         self._noSystematics = noSystematics
         self._noSysSuffix = noSysSuffix
         self._algPostfix = ''
         self._containerConfig = {}
         self._outputContainers = {}
         self._pass = 0
         self._algorithms = {}
         self._currentAlg = None
         self._selectionNameExpr = re.compile ('[A-Za-z_][A-Za-z_0-9]+')
         self.setSourceName ('EventInfo', 'EventInfo')
         self._eventcutflow = {}
  
         # If we are in an Athena environment with ComponentAccumulator configuration
         # then the AlgSequence, which is Gaudi.AthSequencer, does not support '+=',
         # and we in any case want to produce an output ComponentAccumulator
         self.CA = None
         if DualUseConfig.useComponentAccumulator:
             from AthenaConfiguration.ComponentAccumulator import ComponentAccumulator
             self.CA = ComponentAccumulator()
             # if we have a component accumulator the user is not required to pass
             # in a sequence, but if they do let's add it
             if algSeq :
                 self.CA.addSequence(algSeq)
         else :
             if algSeq is None :
                 raise ValueError ("need to pass algSeq if not using ComponentAccumulator")
  
  

Member Function Documentation

◆ addEventCutFlow()

def python.ConfigAccumulator.ConfigAccumulator.addEventCutFlow	(	self,
		selection,
		decorations
	)

register a new event cutflow, adding it to the dictionary with key 'selection'
and value 'decorations', a list of decorated selections

Definition at line 706 of file ConfigAccumulator.py.

     def addEventCutFlow (self, selection, decorations) :
  
         """register a new event cutflow, adding it to the dictionary with key 'selection'
         and value 'decorations', a list of decorated selections
         """
         if self._pass == 0:
             if selection in self._eventcutflow.keys():
                 raise ValueError ('the event cutflow dictionary already contains an entry ' + selection)
             else:
                 self._eventcutflow[selection] = decorations
  
  

◆ addOutputContainer()

def python.ConfigAccumulator.ConfigAccumulator.addOutputContainer	(	self,
		containerName,
		outputContainerName
	)

register a copy of a container used in outputs

Definition at line 739 of file ConfigAccumulator.py.

     def addOutputContainer (self, containerName, outputContainerName) :
         """register a copy of a container used in outputs"""
         if containerName not in self._containerConfig :
             raise KeyError ("container unknown: " + containerName)
         if outputContainerName in self._outputContainers :
             raise KeyError ("duplicate output container name: " + outputContainerName)
         self._outputContainers[outputContainerName] = containerName
  
  

◆ addOutputVar()

def python.ConfigAccumulator.ConfigAccumulator.addOutputVar	(		self,
			containerName,
			variableName,
			outputName,
		*	noSys = `False`,
			enabled = `True`
	)

add an output variable for the given container to the output

Definition at line 764 of file ConfigAccumulator.py.

     def addOutputVar (self, containerName, variableName, outputName,
                       *, noSys=False, enabled=True) :
         """add an output variable for the given container to the output
         """
  
         if containerName not in self._containerConfig :
             raise KeyError ("container unknown: " + containerName)
         baseConfig = self._containerConfig[containerName].outputs
         if outputName in baseConfig :
             raise KeyError ("duplicate output variable name: " + outputName)
         config = OutputConfig (containerName, variableName, noSys=noSys, enabled=enabled)
         baseConfig[outputName] = config
  
  

◆ addPrivateTool()

def python.ConfigAccumulator.ConfigAccumulator.addPrivateTool	(	self,
		propertyName,
		toolType
	)

add a private tool to the current algorithm

Definition at line 429 of file ConfigAccumulator.py.

     def addPrivateTool (self, propertyName, toolType) :
         """add a private tool to the current algorithm"""
         if self._pass == 0 :
             DualUseConfig.addPrivateTool (self._currentAlg, propertyName, toolType)
  
  

◆ addSelection()

def python.ConfigAccumulator.ConfigAccumulator.addSelection	(		self,
			containerName,
			selectionName,
			decoration,
		**	kwargs
	)

add another selection decoration to the selection of the given
name for the given container

Definition at line 726 of file ConfigAccumulator.py.

     def addSelection (self, containerName, selectionName, decoration,
                       **kwargs) :
         """add another selection decoration to the selection of the given
         name for the given container"""
         if selectionName != '' and not self._selectionNameExpr.fullmatch (selectionName) :
             raise ValueError ('invalid selection name: ' + selectionName)
         if containerName not in self._containerConfig :
             self._containerConfig[containerName] = ContainerConfig (containerName, containerName, noSysSuffix=self._noSysSuffix)
         config = self._containerConfig[containerName]
         selection = SelectionConfig (selectionName, decoration, **kwargs)
         config.selections.append (selection)
  
  

◆ algPostfix()

def python.ConfigAccumulator.ConfigAccumulator.algPostfix ( self )

the current postfix to be appended to algorithm names

Blocks should not call this directly, but rather implement the
instanceName method, which will be used to generate the postfix
automatically.

Definition at line 314 of file ConfigAccumulator.py.

     def algPostfix (self) :
         """the current postfix to be appended to algorithm names
         
         Blocks should not call this directly, but rather implement the
         instanceName method, which will be used to generate the postfix
         automatically."""
         return self._algPostfix
     

◆ autoconfigFlags()

def python.ConfigAccumulator.ConfigAccumulator.autoconfigFlags ( self )

Athena configuration flags

This is a backward compatibility version of the flags property,
which is preferred.

Definition at line 271 of file ConfigAccumulator.py.

     def autoconfigFlags (self) :
         """Athena configuration flags
         
         This is a backward compatibility version of the flags property,
         which is preferred."""
         return self._flags
  

◆ campaign()

def python.ConfigAccumulator.ConfigAccumulator.campaign ( self )

the MC campaign we run on

Definition at line 294 of file ConfigAccumulator.py.

     def campaign(self) :
         """the MC campaign we run on"""
         return self._flags.Input.MCCampaign
  

◆ checkOutputContainer()

def python.ConfigAccumulator.ConfigAccumulator.checkOutputContainer	(	self,
		containerName
	)

check whether a given container has been registered in outputs

Definition at line 748 of file ConfigAccumulator.py.

     def checkOutputContainer (self, containerName) :
         """check whether a given container has been registered in outputs"""
         return containerName in self._outputContainers.values()
  
  

◆ copyName()

def python.ConfigAccumulator.ConfigAccumulator.copyName	(	self,
		containerName
	)

register that a copy of the container will be made and return
its name

Definition at line 481 of file ConfigAccumulator.py.

     def copyName (self, containerName) :
         """register that a copy of the container will be made and return
         its name"""
         if containerName not in self._containerConfig :
             raise Exception ("unknown container: " + containerName)
         self._containerConfig[containerName].index += 1
         return self._containerConfig[containerName].currentName()
  
  

◆ createAlgorithm()

def python.ConfigAccumulator.ConfigAccumulator.createAlgorithm	(	self,
		type,
		name,
		reentrant = `False`
	)

create a new algorithm and register it as the current algorithm

Definition at line 349 of file ConfigAccumulator.py.

     def createAlgorithm (self, type, name, reentrant=False) :
         """create a new algorithm and register it as the current algorithm"""
         name = name + self._algPostfix
         if self._pass == 0 :
             if name in self._algorithms :
                 raise Exception ('duplicate algorithms: ' + name + ' with algPostfix=' + self._algPostfix)
             if reentrant:
                 alg = DualUseConfig.createReentrantAlgorithm (type, name)
             else:
                 alg = DualUseConfig.createAlgorithm (type, name)
  
             if DualUseConfig.useComponentAccumulator:
                 if self._algSeq :
                     self.CA.addEventAlgo(alg,self._algSeq.name)
                 else :
                     self.CA.addEventAlgo(alg)
             else:
                 self._algSeq += alg
             self._algorithms[name] = alg
             self._currentAlg = alg
             return alg
         else :
             if name not in self._algorithms :
                 raise Exception ('unknown algorithm requested: ' + name)
             self._currentAlg = self._algorithms[name]
             if self.CA and self._currentAlg != self.CA.getEventAlgo(name) :
                 raise Exception ('change to algorithm object: ' + name)
             return self._algorithms[name]
  
  

◆ createPublicTool()

def python.ConfigAccumulator.ConfigAccumulator.createPublicTool	(	self,
		type,
		name
	)

create a new public tool and register it as the "current algorithm"

Definition at line 404 of file ConfigAccumulator.py.

     def createPublicTool (self, type, name) :
         '''create a new public tool and register it as the "current algorithm"'''
         name = name + self._algPostfix
         if self._pass == 0 :
             if name in self._algorithms :
                 raise Exception ('duplicate public tool: ' + name)
             tool = DualUseConfig.createPublicTool (type, name)
             # Avoid importing AthenaCommon.AppMgr in a CA Athena job
             # as it modifies Gaudi behaviour
             if DualUseConfig.isAthena:
                 if DualUseConfig.useComponentAccumulator:
                     self.CA.addPublicTool(tool)
             else:
                 # We're not, so let's remember this as a "normal" algorithm:
                 self._algSeq += tool
             self._algorithms[name] = tool
             self._currentAlg = tool
             return tool
         else :
             if name not in self._algorithms :
                 raise Exception ('unknown public tool requested: ' + name)
             self._currentAlg = self._algorithms[name]
             return self._algorithms[name]
  
  

◆ createService()

def python.ConfigAccumulator.ConfigAccumulator.createService	(	self,
		type,
		name
	)

create a new service and register it as the "current algorithm"

Definition at line 379 of file ConfigAccumulator.py.

     def createService (self, type, name) :
         '''create a new service and register it as the "current algorithm"'''
         name = name + self._algPostfix
         if self._pass == 0 :
             if name in self._algorithms :
                 raise Exception ('duplicate service: ' + name)
             service = DualUseConfig.createService (type, name)
             # Avoid importing AthenaCommon.AppMgr in a CA Athena job
             # as it modifies Gaudi behaviour
             if DualUseConfig.isAthena:
                 if DualUseConfig.useComponentAccumulator:
                     self.CA.addService(service)
             else:
                 # We're not, so let's remember this as a "normal" algorithm:
                 self._algSeq += service
             self._algorithms[name] = service
             self._currentAlg = service
             return service
         else :
             if name not in self._algorithms :
                 raise Exception ('unknown service requested: ' + name)
             self._currentAlg = self._algorithms[name]
             return self._algorithms[name]
  
  

◆ dataType()

def python.ConfigAccumulator.ConfigAccumulator.dataType ( self )

the data type we run on (data, fullsim, fastsim)

Definition at line 278 of file ConfigAccumulator.py.

     def dataType (self) :
         """the data type we run on (data, fullsim, fastsim)"""
         return self._dataType
  

◆ dataYear()

def python.ConfigAccumulator.ConfigAccumulator.dataYear ( self )

for data, the corresponding year; for MC, zero

Definition at line 302 of file ConfigAccumulator.py.

     def dataYear(self) :
         """for data, the corresponding year; for MC, zero"""
         return self._flags.Input.DataYear
  

◆ dsid()

def python.ConfigAccumulator.ConfigAccumulator.dsid ( self )

the mcChannelNumber or DSID of the sample we run on

Definition at line 290 of file ConfigAccumulator.py.

     def dsid(self) :
         """the mcChannelNumber or DSID of the sample we run on"""
         return self._flags.Input.MCChannelNumber
  

◆ flags()

def python.ConfigAccumulator.ConfigAccumulator.flags ( self )

Athena configuration flags

Definition at line 266 of file ConfigAccumulator.py.

     def flags (self) :
         """Athena configuration flags"""
         return self._flags
  

◆ generatorInfo()

def python.ConfigAccumulator.ConfigAccumulator.generatorInfo ( self )

the dictionary of MC generators and their versions for the sample we run on

Definition at line 306 of file ConfigAccumulator.py.

     def generatorInfo(self) :
         """the dictionary of MC generators and their versions for the sample we run on"""
         return self._flags.Input.GeneratorsInfo
  

◆ geometry()

def python.ConfigAccumulator.ConfigAccumulator.geometry ( self )

the LHC Run period we run on

Definition at line 286 of file ConfigAccumulator.py.

     def geometry (self) :
         """the LHC Run period we run on"""
         return self._flags.GeoModel.Run
  

◆ getAlgorithm()

def python.ConfigAccumulator.ConfigAccumulator.getAlgorithm	(		self,
		str	name
	)

get the algorithm with the given name

Despite the name this will also return services and tools. It is
mostly meant for internal use, particularly for the property
overrides.

Definition at line 338 of file ConfigAccumulator.py.

     def getAlgorithm (self, name : str):
         """get the algorithm with the given name
         
         Despite the name this will also return services and tools. It is
         mostly meant for internal use, particularly for the property
         overrides."""
         name = name + self._algPostfix
         if name not in self._algorithms:
             return None
         return self._algorithms[name]
  

◆ getContainerMeta()

def python.ConfigAccumulator.ConfigAccumulator.getContainerMeta	(		self,
			containerName,
			metaField,
			defaultValue = `None`,
		*	failOnMiss = `False`
	)

get the meta information for the given container

This is used to pass down meta-information from the
configuration to the algorithms.

Definition at line 515 of file ConfigAccumulator.py.

     def getContainerMeta (self, containerName, metaField, defaultValue=None, *, failOnMiss=False) :
         """get the meta information for the given container
  
         This is used to pass down meta-information from the
         configuration to the algorithms.
         """
         if containerName not in self._containerConfig :
             raise Exception ("container unknown: " + containerName)
         if metaField in self._containerConfig[containerName].meta :
             return self._containerConfig[containerName].meta[metaField]
         if failOnMiss :
             raise Exception ('unknown meta-field' + metaField + ' on container ' + containerName)
         return defaultValue
  

◆ getEventCutFlow()

def python.ConfigAccumulator.ConfigAccumulator.getEventCutFlow	(	self,
		selection
	)

get the list of decorated selections for an event cutflow,  corresponding to
key 'selection'

Definition at line 718 of file ConfigAccumulator.py.

     def getEventCutFlow (self, selection) :
  
         """get the list of decorated selections for an event cutflow,  corresponding to
         key 'selection'
         """
         return self._eventcutflow[selection]
  
  

◆ getFullSelection()

def python.ConfigAccumulator.ConfigAccumulator.getFullSelection	(		self,
			containerName,
			selectionName,
		*	skipBase = `False`,
			excludeFrom = `None`
	)

get the selection string for the given selection on the given
container

This can handle both individual selections or selection
expressions (e.g. `loose||tight`) with the later being
properly expanded.  Either way the base selection (i.e. the
selection without a name) will always be applied on top.

containerName --- the container the selection is defined on
selectionName --- the name of the selection, or a selection
          expression based on multiple named selections
skipBase --- will avoid the base selection, and should normally
     not be used by the end-user.
excludeFrom --- a set of string names of selection sources to exclude
        e.g. to exclude OR selections from MET

Definition at line 608 of file ConfigAccumulator.py.

     def getFullSelection (self, containerName, selectionName,
                           *, skipBase = False, excludeFrom = None) :
  
         """get the selection string for the given selection on the given
         container
  
         This can handle both individual selections or selection
         expressions (e.g. `loose||tight`) with the later being
         properly expanded.  Either way the base selection (i.e. the
         selection without a name) will always be applied on top.
  
         containerName --- the container the selection is defined on
         selectionName --- the name of the selection, or a selection
                           expression based on multiple named selections
         skipBase --- will avoid the base selection, and should normally
                      not be used by the end-user.
         excludeFrom --- a set of string names of selection sources to exclude
                         e.g. to exclude OR selections from MET
         """
         if "." in containerName:
             raise ValueError (f'invalid containerName argument: {containerName} , it contains a "." '
             'which is used to indicate container+selection. You should only pass the container.')
         if containerName not in self._containerConfig :
             return ""
  
         if excludeFrom is None :
             excludeFrom = set()
         elif not isinstance(excludeFrom, set) :
             raise ValueError ('invalid excludeFrom argument (need set of strings): ' + str(excludeFrom))
  
         # Check if this is actually a selection expression,
         # e.g. `A||B` and if so translate it into a complex expression
         # for the user.  I'm not trying to do any complex syntax
         # recognition, but instead just produce an expression that the
         # C++ parser ought to be able to read.
         if selectionName != '' and \
            not self._selectionNameExpr.fullmatch (selectionName) :
             result = ''
             while selectionName != '' :
                 match = self._selectionNameExpr.match (selectionName)
                 if not match :
                     result += selectionName[0]
                     selectionName = selectionName[1:]
                 else :
                     subname = match.group(0)
                     subresult = self.getFullSelection (containerName, subname, skipBase = True, excludeFrom=excludeFrom)
                     if subresult != '' :
                         result += '(' + subresult + ')'
                     else :
                         result += 'true'
                     selectionName = selectionName[len(subname):]
             subresult = self.getFullSelection (containerName, '', excludeFrom=excludeFrom)
             if subresult != '' :
                 result = subresult + '&&(' + result + ')'
             return '(' + result + ')' if result !='' else ''
  
         config = self._containerConfig[containerName]
         decorations = []
         hasSelectionName = False
         for selection in config.selections :
             if ((selection.name == '' and not skipBase) or selection.name == selectionName) and (selection.comesFrom not in excludeFrom) :
                 decorations += [selection.decoration]
             if selection.name == selectionName :
                 hasSelectionName = True
         if not hasSelectionName and selectionName != '' :
             raise KeyError ('invalid selection name: ' + containerName + '.' + selectionName)
         return '&&'.join (decorations)
  
  

◆ getOutputContainerOrigin()

def python.ConfigAccumulator.ConfigAccumulator.getOutputContainerOrigin	(	self,
		outputContainerName
	)

Get the name of the actual container, for which an output is registered

Definition at line 753 of file ConfigAccumulator.py.

     def getOutputContainerOrigin (self, outputContainerName) :
         """Get the name of the actual container, for which an output is registered"""
         try:
             return self._outputContainers[outputContainerName]
         except KeyError:
             try:
                 return self._containerConfig[outputContainerName].name
             except KeyError:
                 raise KeyError ("output container unknown: " + outputContainerName)
  
  

◆ getOutputVars()

def python.ConfigAccumulator.ConfigAccumulator.getOutputVars	(	self,
		containerName
	)

get the output variables for the given container

Definition at line 778 of file ConfigAccumulator.py.

     def getOutputVars (self, containerName) :
         """get the output variables for the given container"""
         if containerName in self._outputContainers :
             containerName = self._outputContainers[containerName]
         if containerName not in self._containerConfig :
             raise KeyError ("unknown container for output: " + containerName)
         return self._containerConfig[containerName].outputs
  
  

◆ getPreselection()

def python.ConfigAccumulator.ConfigAccumulator.getPreselection	(		self,
			containerName,
			selectionName,
		*	asList = `False`
	)

get the preselection string for the given selection on the given
container

Definition at line 587 of file ConfigAccumulator.py.

     def getPreselection (self, containerName, selectionName, *, asList = False) :
  
         """get the preselection string for the given selection on the given
         container
         """
         if selectionName != '' and not self._selectionNameExpr.fullmatch (selectionName) :
             raise ValueError ('invalid selection name: ' + selectionName)
         if containerName not in self._containerConfig :
             return ""
         config = self._containerConfig[containerName]
         decorations = []
         for selection in config.selections :
             if (selection.name == '' or selection.name == selectionName) and \
                selection.preselection :
                 decorations += [selection.decoration]
         if asList :
             return decorations
         else :
             return '&&'.join (decorations)
  
  

◆ getSelectionCutFlow()

def python.ConfigAccumulator.ConfigAccumulator.getSelectionCutFlow	(	self,
		containerName,
		selectionName
	)

get the individual selections as a list for producing the cutflow for
the given selection on the given container

This can only handle individual selections, not selection
expressions (e.g. `loose||tight`).

Definition at line 677 of file ConfigAccumulator.py.

     def getSelectionCutFlow (self, containerName, selectionName) :
  
         """get the individual selections as a list for producing the cutflow for
         the given selection on the given container
  
         This can only handle individual selections, not selection
         expressions (e.g. `loose||tight`).
  
         """
         if containerName not in self._containerConfig :
             return []
  
         # Check if this is actually a selection expression,
         # e.g. `A||B` and if so translate it into a complex expression
         # for the user.  I'm not trying to do any complex syntax
         # recognition, but instead just produce an expression that the
         # C++ parser ought to be able to read.
         if selectionName != '' and \
            not self._selectionNameExpr.fullmatch (selectionName) :
             raise ValueError ('not allowed to do cutflow on selection expression: ' + selectionName)
  
         config = self._containerConfig[containerName]
         decorations = []
         for selection in config.selections :
             if (selection.name == '' or selection.name == selectionName) :
                 decorations += [selection.decoration]
         return decorations
  
  

◆ getSelectionNames()

def python.ConfigAccumulator.ConfigAccumulator.getSelectionNames	(	self,
		containerName,
		excludeFrom = `None`
	)

Retrieve set of unique selections defined for a given container

Definition at line 787 of file ConfigAccumulator.py.

     def getSelectionNames (self, containerName, excludeFrom = None) :
         """Retrieve set of unique selections defined for a given container"""
         if containerName not in self._containerConfig :
             return []
         if excludeFrom is None:
             excludeFrom = set()
         elif not isinstance(excludeFrom, set) :
             raise ValueError ('invalid excludeFrom argument (need set of strings): ' + str(excludeFrom))
  
         config = self._containerConfig[containerName]
         # because cuts are registered individually, selection names can repeat themselves
         # but we are interested in unique names only
         selectionNames = set()
         for selection in config.selections:
             if selection.comesFrom in excludeFrom:
                 continue
             # skip flags which should be disabled in output
             if selection.writeToOutput:
                 selectionNames.add(selection.name)
         return selectionNames

◆ hltSummary()

def python.ConfigAccumulator.ConfigAccumulator.hltSummary ( self )

the HLTSummary configuration to be used for the trigger decision tool

Definition at line 310 of file ConfigAccumulator.py.

     def hltSummary(self) :
         """the HLTSummary configuration to be used for the trigger decision tool"""
         return self._hltSummary
     

◆ isMetContainer()

def python.ConfigAccumulator.ConfigAccumulator.isMetContainer	(	self,
		containerName
	)

whether the given container is registered as a MET container

This is mostly/exclusively used for determining whether to
write out the whole container or just a single MET term.

Definition at line 541 of file ConfigAccumulator.py.

     def isMetContainer (self, containerName) :
         """whether the given container is registered as a MET container
  
         This is mostly/exclusively used for determining whether to
         write out the whole container or just a single MET term.
         """
         if containerName not in self._containerConfig :
             raise Exception ("container unknown: " + containerName)
         return self._containerConfig[containerName].isMet
  
  

◆ isPhyslite()

def python.ConfigAccumulator.ConfigAccumulator.isPhyslite ( self )

whether we run on PHYSLITE

Definition at line 282 of file ConfigAccumulator.py.

     def isPhyslite (self) :
         """whether we run on PHYSLITE"""
         return self._isPhyslite
  

◆ nextPass()

def python.ConfigAccumulator.ConfigAccumulator.nextPass ( self )

switch to the next configuration pass

Configuration happens in two steps, with all the blocks processed
twice.  This switches from the first to the second pass.

Definition at line 572 of file ConfigAccumulator.py.

     def nextPass (self) :
         """switch to the next configuration pass
  
         Configuration happens in two steps, with all the blocks processed
         twice.  This switches from the first to the second pass.
         """
         if self._pass != 0 :
             raise Exception ("already performed final pass")
         for name in self._containerConfig :
             self._containerConfig[name].nextPass ()
         self._pass = 1
         self._currentAlg = None
         self._outputContainers = {}
  
  

◆ noSystematics()

def python.ConfigAccumulator.ConfigAccumulator.noSystematics ( self )

noSystematics flag used by CommonServices block

Definition at line 261 of file ConfigAccumulator.py.

     def noSystematics (self) :
         """noSystematics flag used by CommonServices block"""
         return self._noSystematics
  

◆ originalName()

def python.ConfigAccumulator.ConfigAccumulator.originalName	(	self,
		containerName
	)

get the "original" name of the given container

This is mostly/exclusively used for jet containers, so that
subsequent configurations know which jet container they
operate on.

Definition at line 501 of file ConfigAccumulator.py.

     def originalName (self, containerName) :
         """get the "original" name of the given container
  
         This is mostly/exclusively used for jet containers, so that
         subsequent configurations know which jet container they
         operate on.
         """
         if containerName not in self._containerConfig :
             raise Exception ("container unknown: " + containerName)
         result = self._containerConfig[containerName].originalName
         if result is None :
             raise Exception ("no original name for: " + containerName)
         return result
  

◆ readName()

def python.ConfigAccumulator.ConfigAccumulator.readName	(	self,
		containerName
	)

get the name of the "current copy" of the given container

As extra copies get created during processing this will track
the correct name of the current copy.  Optionally one can pass
in the name of the container before the first copy.

Definition at line 469 of file ConfigAccumulator.py.

     def readName (self, containerName) :
         """get the name of the "current copy" of the given container
  
         As extra copies get created during processing this will track
         the correct name of the current copy.  Optionally one can pass
         in the name of the container before the first copy.
         """
         if containerName not in self._containerConfig :
             raise Exception ("no source container for: " + containerName)
         return self._containerConfig[containerName].currentName()
  
  

◆ readNameAndSelection()

def python.ConfigAccumulator.ConfigAccumulator.readNameAndSelection	(		self,
			containerName,
		*	excludeFrom = `None`
	)

get the name of the "current copy" of the given container, and the
selection string

This is mostly meant for MET and OR for whom the actual object
selection is relevant, and which as such allow to pass in the
working point as "ObjectName.WorkingPoint".

Definition at line 552 of file ConfigAccumulator.py.

     def readNameAndSelection (self, containerName, *, excludeFrom = None) :
         """get the name of the "current copy" of the given container, and the
         selection string
  
         This is mostly meant for MET and OR for whom the actual object
         selection is relevant, and which as such allow to pass in the
         working point as "ObjectName.WorkingPoint".
         """
         split = containerName.split (".")
         if len(split) == 1 :
             objectName = split[0]
             selectionName = ''
         elif len(split) == 2 :
             objectName = split[0]
             selectionName = split[1]
         else :
             raise Exception ('invalid object selection name: ' + containerName)
         return self.readName (objectName), self.getFullSelection (objectName, selectionName, excludeFrom=excludeFrom)
  
  

◆ runNumber()

def python.ConfigAccumulator.ConfigAccumulator.runNumber ( self )

the MC runNumber

Definition at line 298 of file ConfigAccumulator.py.

     def runNumber(self) :
         """the MC runNumber"""
         return int(self._flags.Input.RunNumbers[0])
  

◆ setAlgPostfix()

def python.ConfigAccumulator.ConfigAccumulator.setAlgPostfix	(		self,
		str	postfix
	)

set the current postfix to be appended to algorithm names

Blocks should not call this directly, but rather implement the
instanceName method, which will be used to generate the postfix
automatically.

Definition at line 322 of file ConfigAccumulator.py.

     def setAlgPostfix (self, postfix : str) :
         """set the current postfix to be appended to algorithm names
  
         Blocks should not call this directly, but rather implement the
         instanceName method, which will be used to generate the postfix
         automatically."""
         # make sure the postfix matches the expected format ([_a-zA-Z0-9]*)
         if re.compile ('^[_a-zA-Z0-9]*$').match (postfix) is None :
             raise ValueError ('invalid algorithm postfix: ' + postfix)
         if postfix == '' :
             self._algPostfix = ''
         elif postfix[0] != '_' :
             self._algPostfix = '_' + postfix
         else :
             self._algPostfix = postfix
  

◆ setContainerMeta()

def python.ConfigAccumulator.ConfigAccumulator.setContainerMeta	(		self,
			containerName,
			metaField,
			value,
		*	allowOverwrite = `False`
	)

set the meta information for the given container

This is used to pass down meta-information from the
configuration to the algorithms.

Definition at line 529 of file ConfigAccumulator.py.

     def setContainerMeta (self, containerName, metaField, value, *, allowOverwrite=False) :
         """set the meta information for the given container
  
         This is used to pass down meta-information from the
         configuration to the algorithms.
         """
         if containerName not in self._containerConfig :
             raise Exception ("container unknown: " + containerName)
         if not allowOverwrite and metaField in self._containerConfig[containerName].meta :
             raise Exception ('duplicate meta-field' + metaField + ' on container ' + containerName)
         self._containerConfig[containerName].meta[metaField] = value
  

◆ setSourceName()

def python.ConfigAccumulator.ConfigAccumulator.setSourceName	(		self,
			containerName,
			sourceName,
		*	originalName = `None`,
			isMet = `False`
	)

set the (default) name of the source/original container

This is essentially meant to allow using e.g. the muon
configuration and the user not having to manually specify that
they want to use the Muons/AnalysisMuons container from the
input file.

In addition it allows to set the original name of the
container (which may be different from the source name), which
is mostly/exclusively used for jet containers, so that
subsequent configurations know which jet container they
operate on.

Definition at line 435 of file ConfigAccumulator.py.

     def setSourceName (self, containerName, sourceName,
                        *, originalName = None, isMet = False) :
         """set the (default) name of the source/original container
  
         This is essentially meant to allow using e.g. the muon
         configuration and the user not having to manually specify that
         they want to use the Muons/AnalysisMuons container from the
         input file.
  
         In addition it allows to set the original name of the
         container (which may be different from the source name), which
         is mostly/exclusively used for jet containers, so that
         subsequent configurations know which jet container they
         operate on.
         """
         if containerName not in self._containerConfig :
             self._containerConfig[containerName] = ContainerConfig (containerName, sourceName, noSysSuffix = self._noSysSuffix, originalName = originalName, isMet = isMet)
  
  

◆ wantCopy()

def python.ConfigAccumulator.ConfigAccumulator.wantCopy	(	self,
		containerName
	)

ask whether we want/need a copy of the container

This usually only happens if no copy of the container has been
made yet and the copy is needed to allow modifications, etc.

Definition at line 490 of file ConfigAccumulator.py.

     def wantCopy (self, containerName) :
         """ask whether we want/need a copy of the container
  
         This usually only happens if no copy of the container has been
         made yet and the copy is needed to allow modifications, etc.
         """
         if containerName not in self._containerConfig :
             raise Exception ("no source container for: " + containerName)
         return self._containerConfig[containerName].index == 0
  
  

◆ writeName()

def python.ConfigAccumulator.ConfigAccumulator.writeName	(		self,
			containerName,
		*	isMet = `None`
	)

register that the given container will be made and return
its name

Definition at line 454 of file ConfigAccumulator.py.

     def writeName (self, containerName, *, isMet=None) :
         """register that the given container will be made and return
         its name"""
         if containerName not in self._containerConfig :
             self._containerConfig[containerName] = ContainerConfig (containerName, sourceName = None, noSysSuffix = self._noSysSuffix)
         if self._containerConfig[containerName].sourceName is not None :
             raise Exception ("trying to write container configured for input: " + containerName)
         if self._containerConfig[containerName].index != 0 :
             raise Exception ("trying to write container twice: " + containerName)
         self._containerConfig[containerName].index += 1
         if isMet is not None :
             self._containerConfig[containerName].isMet = isMet
         return self._containerConfig[containerName].currentName()
  
  

Member Data Documentation

◆ _algorithms

python.ConfigAccumulator.ConfigAccumulator._algorithms

private

Definition at line 239 of file ConfigAccumulator.py.

◆ _algPostfix

python.ConfigAccumulator.ConfigAccumulator._algPostfix

private

Definition at line 235 of file ConfigAccumulator.py.

◆ _algSeq

python.ConfigAccumulator.ConfigAccumulator._algSeq

private

Definition at line 232 of file ConfigAccumulator.py.

◆ _containerConfig

python.ConfigAccumulator.ConfigAccumulator._containerConfig

private

Definition at line 236 of file ConfigAccumulator.py.

◆ _currentAlg

python.ConfigAccumulator.ConfigAccumulator._currentAlg

private

Definition at line 240 of file ConfigAccumulator.py.

◆ _dataType

python.ConfigAccumulator.ConfigAccumulator._dataType

private

Definition at line 225 of file ConfigAccumulator.py.

◆ _eventcutflow

python.ConfigAccumulator.ConfigAccumulator._eventcutflow

private

Definition at line 243 of file ConfigAccumulator.py.

◆ _flags

python.ConfigAccumulator.ConfigAccumulator._flags

private

Definition at line 148 of file ConfigAccumulator.py.

◆ _hltSummary

python.ConfigAccumulator.ConfigAccumulator._hltSummary

private

Definition at line 227 of file ConfigAccumulator.py.

◆ _isPhyslite

python.ConfigAccumulator.ConfigAccumulator._isPhyslite

private

Definition at line 226 of file ConfigAccumulator.py.

◆ _noSysSuffix

python.ConfigAccumulator.ConfigAccumulator._noSysSuffix

private

Definition at line 234 of file ConfigAccumulator.py.

◆ _noSystematics

python.ConfigAccumulator.ConfigAccumulator._noSystematics

private

Definition at line 233 of file ConfigAccumulator.py.

◆ _outputContainers

python.ConfigAccumulator.ConfigAccumulator._outputContainers

private

Definition at line 237 of file ConfigAccumulator.py.

◆ _pass

python.ConfigAccumulator.ConfigAccumulator._pass

private

Definition at line 238 of file ConfigAccumulator.py.

◆ _selectionNameExpr

python.ConfigAccumulator.ConfigAccumulator._selectionNameExpr

private

Definition at line 241 of file ConfigAccumulator.py.

◆ CA

python.ConfigAccumulator.ConfigAccumulator.CA

Definition at line 248 of file ConfigAccumulator.py.

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

ConfigAccumulator.py

Public Member Functions

Public Attributes

Private Attributes

Detailed Description

Constructor & Destructor Documentation

◆ __init__()

Member Function Documentation

◆ addEventCutFlow()

◆ addOutputContainer()

◆ addOutputVar()

◆ addPrivateTool()

◆ addSelection()

◆ algPostfix()

◆ autoconfigFlags()

◆ campaign()

◆ checkOutputContainer()

◆ copyName()

◆ createAlgorithm()

◆ createPublicTool()

◆ createService()

◆ dataType()

◆ dataYear()

◆ dsid()

◆ flags()

◆ generatorInfo()

◆ geometry()

◆ getAlgorithm()

◆ getContainerMeta()

◆ getEventCutFlow()

◆ getFullSelection()

◆ getOutputContainerOrigin()

◆ getOutputVars()

◆ getPreselection()

◆ getSelectionCutFlow()

◆ getSelectionNames()

◆ hltSummary()

◆ isMetContainer()

◆ isPhyslite()

◆ nextPass()

◆ noSystematics()

◆ originalName()

◆ readName()

◆ readNameAndSelection()

◆ runNumber()

◆ setAlgPostfix()

◆ setContainerMeta()

◆ setSourceName()

◆ wantCopy()

◆ writeName()

Member Data Documentation

◆ _algorithms

◆ _algPostfix

◆ _algSeq

◆ _containerConfig

◆ _currentAlg

◆ _dataType

◆ _eventcutflow

◆ _flags

◆ _hltSummary

◆ _isPhyslite

◆ _noSysSuffix

◆ _noSystematics

◆ _outputContainers

◆ _pass

◆ _selectionNameExpr

◆ CA

◆ init()