ttFullHadEvtBuilder_cff Namespace Reference

Functions
def	addTtFullHadHypotheses
	make ttFullHadEvent makeTtFullHadEvent = cms.Sequence(makeTtFullHadHypotheses * ttFullHadEvent ) More...
def	removeTtFullHadHypGenMatch
	remove genMatch hypothesis from the process More...
def	setForAllTtFullHadHypotheses
	set a specific attribute for all hypotheses to a given value -> this works for "jets", "maxNJets", "jetCorrectionLevel" More...

Function Documentation

def ttFullHadEvtBuilder_cff.addTtFullHadHypotheses	(		process,
			names
	)

make ttFullHadEvent makeTtFullHadEvent = cms.Sequence(makeTtFullHadHypotheses * ttFullHadEvent )

helper functions (examples of usage can be found in the ttFullHadEvtBuilder_cfg.py) add hypotheses to the process

Definition at line 28 of file ttFullHadEvtBuilder_cff.py.

                           ):

    ## edit list of input hypotheses for the TtFullHadEventBuilder
    labels =  getattr(process.ttFullHadEvent, "hypotheses")
    for obj in range(len(names)):
        ## create correct label from HypoClassKey string (stripping the leading "k")
        ## e.g. kKinFit -> ttFullHadHypKinFit
        label = "ttFullHadHyp" + names[obj][1:]
        ## add it to the list
        labels.append(label)
    process.ttFullHadEvent.hypotheses = labels

    ### include hypotheses in the standard sequence
    #sequence = getattr(process, "makeTtFullHadHypotheses")
    #for obj in range(len(names)):
        ### create correct label from HypoClassKey string (stripping the leading "k")
        ### e.g. kKinFit -> makeHypothesis_kinFit
        #if names[obj][1:4] == "MVA":
            #label = "makeHypothesis_" + names[obj][1:4].lower() + names[obj][4:]
        #else:
            #label = "makeHypothesis_" + names[obj][1:2].lower() + names[obj][2:]
        ### add it to the sequence
        #sequence += getattr(process, label)