python.AsgAnalysisConfig Namespace Reference

Classes
class	CommonServicesConfig
class	EventCutFlowBlock
class	GeneratorAnalysisBlock
class	IFFLeptonDecorationBlock
class	IOStatsBlock
class	MCTCLeptonDecorationBlock
class	ObjectCutFlowBlock
class	OutputThinningBlock
class	PerEventSFBlock
class	PileupReweightingBlock
class	PtEtaSelectionBlock
class	SelectionDecorationBlock
class	SystematicsCategories

Functions
def	makeCommonServicesConfig (seq)
def	makePileupReweightingConfig (seq, campaign=None, files=None, useDefaultConfig=None, userLumicalcFiles=None, userPileupConfigs=None)
def	makeGeneratorAnalysisConfig (seq, saveCutBookkeepers=None, runNumber=None, cutBookkeepersSystematics=None)
def	makeEventCutFlowConfig (seq, containerName, *postfix=None, selectionName, customSelections=None)
def	makeOutputThinningConfig (seq, containerName, *postfix=None, selection=None, selectionName=None, outputName=None, configName='Thinning')

Function Documentation

makeCommonServicesConfig()

def python.AsgAnalysisConfig.makeCommonServicesConfig

(

seq

)

Create the common services config

Definition at line 655 of file AsgAnalysisConfig.py.

def makeCommonServicesConfig( seq ):
    """Create the common services config"""
 
    seq.append (CommonServicesConfig ())
 
 
 

makeEventCutFlowConfig()

def python.AsgAnalysisConfig.makeEventCutFlowConfig	(		seq,
			containerName,
		*	postfix = None,
			selectionName,
			customSelections = None
	)

Create an event-level cutflow config

Keyword arguments:
  containerName -- name of the container
  postfix -- a postfix to apply to decorations and algorithm names.
  selectionName -- the name of the selection to do the cutflow for
  customSelections -- a list of decorations to use in the cutflow, to override the retrieval of all decorations

Definition at line 699 of file AsgAnalysisConfig.py.

def makeEventCutFlowConfig( seq, containerName,
                              *, postfix = None, selectionName, customSelections = None):
    """Create an event-level cutflow config
 
    Keyword arguments:
      containerName -- name of the container
      postfix -- a postfix to apply to decorations and algorithm names.
      selectionName -- the name of the selection to do the cutflow for
      customSelections -- a list of decorations to use in the cutflow, to override the retrieval of all decorations
    """
 
    config = EventCutFlowBlock (containerName, selectionName)
    config.setOptionValue ('postfix', postfix)
    config.setOptionValue ('customSelections', customSelections)
    seq.append (config)
 
 

makeGeneratorAnalysisConfig()

def python.AsgAnalysisConfig.makeGeneratorAnalysisConfig	(		seq,
			saveCutBookkeepers = None,
			runNumber = None,
			cutBookkeepersSystematics = None
	)

Create a generator analysis algorithm sequence

Keyword arguments:
  saveCutBookkeepers -- save cut bokkeepers information into output file
  runNumber -- MC run number
  cutBookkeepersSystematics -- store CutBookkeepers systematics

Definition at line 679 of file AsgAnalysisConfig.py.

def makeGeneratorAnalysisConfig( seq,
                                 saveCutBookkeepers=None,
                                 runNumber=None,
                                 cutBookkeepersSystematics=None ):
    """Create a generator analysis algorithm sequence
 
    Keyword arguments:
      saveCutBookkeepers -- save cut bokkeepers information into output file
      runNumber -- MC run number
      cutBookkeepersSystematics -- store CutBookkeepers systematics
    """
 
    config = GeneratorAnalysisBlock ()
    config.setOptionValue ('saveCutBookkeepers', saveCutBookkeepers)
    config.setOptionValue ('runNumber', runNumber)
    config.setOptionValue ('cutBookkeepersSystematics', cutBookkeepersSystematics)
    seq.append (config)
 
 
 

makeOutputThinningConfig()

def python.AsgAnalysisConfig.makeOutputThinningConfig	(		seq,
			containerName,
		*	postfix = None,
			selection = None,
			selectionName = None,
			outputName = None,
			configName = 'Thinning'
	)

Create an output thinning config

This will do a consistent selection of output containers (if there
is a preselection or a selection specified) and then creates a set
of view containers (or deep copies) based on that selection.

Keyword arguments:
  containerName -- name of the container
  postfix -- a postfix to apply to decorations and algorithm
             names.  this is mostly used/needed when using this
             sequence with multiple working points to ensure all
             names are unique.
  selection -- the name of an optional selection decoration to use
  outputName -- an optional name for the output container

Definition at line 716 of file AsgAnalysisConfig.py.

def makeOutputThinningConfig( seq, containerName,
                              *, postfix = None, selection = None, selectionName = None, outputName = None, configName='Thinning'):
    """Create an output thinning config
 
    This will do a consistent selection of output containers (if there
    is a preselection or a selection specified) and then creates a set
    of view containers (or deep copies) based on that selection.
 
    Keyword arguments:
      containerName -- name of the container
      postfix -- a postfix to apply to decorations and algorithm
                 names.  this is mostly used/needed when using this
                 sequence with multiple working points to ensure all
                 names are unique.
      selection -- the name of an optional selection decoration to use
      outputName -- an optional name for the output container
 
    """
 
    config = OutputThinningBlock (containerName, configName)
    config.setOptionValue ('postfix', postfix)
    config.setOptionValue ('selection', selection)
    config.setOptionValue ('selectionName', selectionName)
    config.setOptionValue ('outputName', outputName)
    seq.append (config)

makePileupReweightingConfig()

def python.AsgAnalysisConfig.makePileupReweightingConfig	(		seq,
			campaign = None,
			files = None,
			useDefaultConfig = None,
			userLumicalcFiles = None,
			userPileupConfigs = None
	)

Create a PRW analysis config

Keyword arguments:

Definition at line 662 of file AsgAnalysisConfig.py.

def makePileupReweightingConfig( seq, campaign=None, files=None, useDefaultConfig=None, userLumicalcFiles=None, userPileupConfigs=None ):
    """Create a PRW analysis config
 
    Keyword arguments:
    """
    # TO DO: add explanation of the keyword arguments, left to experts
 
    config = PileupReweightingBlock ()
    config.setOptionValue ('campaign', campaign)
    config.setOptionValue ('files', files)
    config.setOptionValue ('useDefaultConfig', useDefaultConfig)
    config.setOptionValue ('userLumicalcFiles', userLumicalcFiles)
    config.setOptionValue ('userPileupConfigs', userPileupConfigs)
    seq.append (config)