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dhidas |
1.1 |
from __future__ import division
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from optparse import OptionParser
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import sys
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from fileInfo import *
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from ROOT import *
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from mergeROOTFilesWithCompression import getProcess
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pathToSkimHist = "EventFilter/EventCounter"
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pathToEventTree = "rootTupleTree/tree"
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def getSkimmedEvents(files):
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skimInfo = getSkimInfo(files)
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skimHist = skimInfo[0]
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numberOfTotalEvents = skimHist.GetBinContent(1)
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numberOfEventsPassingHBHENoiseFilter = skimHist.GetBinContent(2)
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numberOfEventsPassingScrapingVeto = skimHist.GetBinContent(3)
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numberOfEventsHavingGoodPrimaryVertex = skimHist.GetBinContent(4)
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numberOfEventsPassingElectronCuts = skimHist.GetBinContent(5)
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numberOfEventsPassingMuonCuts = skimHist.GetBinContent(6)
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numberOfEventsPassingJetCuts = skimHist.GetBinContent(7)
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numberOfEventsAfterAllFilters = skimInfo[1]
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TotalSkimEfficiency = numberOfEventsAfterAllFilters / numberOfTotalEvents
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dataSetDescription, totals, lastStep = {}, {}, {}
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dataSetDescription['numberOfEvents'] = numberOfTotalEvents
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dataSetDescription['numberOfEventsAfterSkim'] = numberOfEventsAfterAllFilters
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dataSetDescription['totalSkimEfficiency'] = dataSetDescription['numberOfEventsAfterSkim'] / dataSetDescription['numberOfEvents']
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dataSetDescription['HBHENoiseFilter'] = int(numberOfEventsPassingHBHENoiseFilter)
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dataSetDescription['ScrapingVeto'] = int(numberOfEventsPassingScrapingVeto)
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dataSetDescription['GoodPrimaryVertex'] = int(numberOfEventsHavingGoodPrimaryVertex)
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dataSetDescription['ElectronCuts'] = int(numberOfEventsPassingElectronCuts)
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dataSetDescription['MuonCuts'] = int(numberOfEventsPassingMuonCuts)
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dataSetDescription['JetCuts'] = int(numberOfEventsPassingJetCuts)
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totals['HBHENoiseFilter'] = numberOfEventsPassingHBHENoiseFilter / numberOfTotalEvents
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totals['ScrapingVeto'] = numberOfEventsPassingScrapingVeto / numberOfTotalEvents
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totals['GoodPrimaryVertex'] = numberOfEventsHavingGoodPrimaryVertex / numberOfTotalEvents
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totals['ElectronCuts'] = numberOfEventsPassingElectronCuts / numberOfTotalEvents
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totals['MuonCuts'] = numberOfEventsPassingMuonCuts / numberOfTotalEvents
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totals['JetCuts'] = numberOfEventsPassingJetCuts / numberOfTotalEvents
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lastStep['HBHENoiseFilter'] = numberOfEventsPassingHBHENoiseFilter / numberOfTotalEvents
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lastStep['ScrapingVeto'] = numberOfEventsPassingScrapingVeto / numberOfEventsPassingHBHENoiseFilter
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lastStep['GoodPrimaryVertex'] = numberOfEventsHavingGoodPrimaryVertex / numberOfEventsPassingScrapingVeto
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lastStep['ElectronCuts'] = numberOfEventsPassingElectronCuts / numberOfEventsHavingGoodPrimaryVertex
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lastStep['MuonCuts'] = numberOfEventsPassingMuonCuts / numberOfEventsHavingGoodPrimaryVertex
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lastStep['JetCuts'] = numberOfEventsPassingJetCuts / numberOfEventsHavingGoodPrimaryVertex
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return dataSetDescription, totals, lastStep
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# return {'total': numberOfTotalEvents,
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# 'skimmed':numberOfEventsAfterAllFilters,
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# 'electronSkimEfficiency':electronSkimEfficiency,
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# 'afterSkimAndNoiseFilter':numberOfEventsAfterAllFilters,
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# 'totalSkimEfficiency':TotalSkimEfficiency}
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def getSkimInfo(files):
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skimHist = None
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eventBranch = None
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eventTree = None
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n_skim = 0
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TfOpen = TFile.Open
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gcd = gROOT.cd
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for file in files:
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f = TfOpen(file)
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gcd()
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eventTree = f.Get(pathToEventTree)
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if eventTree is None:
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print 'Could not find tree', pathToEventTree, 'in file', file
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else:
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eventBranch = eventTree.GetBranch('Event.Number')
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if eventBranch is None:
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print 'Could not find branch', pathToEventTree + '/Event.Number', 'in file', file
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else:
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n_skim += eventBranch.GetEntries()
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if skimHist is None:
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skimHist = f.Get(pathToSkimHist)
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if skimHist is None:
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print 'Could not find histogram', pathToSkimHist, 'in file', file
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continue
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else:
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hist = f.Get(pathToSkimHist)
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if hist is None:
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print 'Could not find histogram', pathToSkimHist, 'in file', file
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continue
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skimHist.Add(hist)
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return (skimHist, n_skim)
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def formatSkimEfficiencies(dataSetDescription, totals, lastStep):
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print 'Local merged files:', dataSetDescription['path']
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print
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print 'Total number of files:', int(dataSetDescription['numberOfFiles'])
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print
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print 'Process recognised:', dataSetDescription['process']
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print
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print 'Total number of events:', int(dataSetDescription['numberOfEvents'])
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print
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print
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print '| *Filter Name* | *# passing* | *efficiency(total) in %* | *efficiency(last step) in %* |'
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print '| HBHENoiseFilter | ', dataSetDescription['HBHENoiseFilter'], '| ', totals['HBHENoiseFilter'], '| ', lastStep['HBHENoiseFilter'], '|'
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print '| ScrapingVeto | ', dataSetDescription['ScrapingVeto'], '| ', totals['ScrapingVeto'], '| ', lastStep['ScrapingVeto'], '|'
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print '| GoodPrimaryVertex | ', dataSetDescription['GoodPrimaryVertex'], '| ', totals['GoodPrimaryVertex'], '| ', lastStep['GoodPrimaryVertex'], '|'
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print '| ElectronCuts | ', dataSetDescription['ElectronCuts'], '| ', totals['ElectronCuts'], '| ', lastStep['ElectronCuts'], '|'
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print '| MuonCuts | ', dataSetDescription['MuonCuts'], '| ', totals['MuonCuts'], '| ', lastStep['MuonCuts'], '|'
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# print '| JetCuts | ', dataSetDescription['JetCuts'], '| ', totals['JetCuts'], '| ', lastStep['JetCuts'], '|'
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print '| Combined e or mu cuts | ', dataSetDescription['JetCuts'], '| ', totals['JetCuts'], '| ', lastStep['JetCuts'], '|'
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print '| total | ', int(dataSetDescription['numberOfEventsAfterSkim']), '| ',
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print dataSetDescription['totalSkimEfficiency'], '| --- |'
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if __name__ == "__main__":
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args = sys.argv
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if not len(args) == 2:
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print "Please specify a folder to merge files in."
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sys.exit()
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path = sys.argv[1]
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files = getROOTFiles(path)
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dataSetDescription, totals, lastStep = getSkimmedEvents(files)
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dataSetDescription['numberOfFiles'] = len(files)
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dataSetDescription['process'] = getProcess(files[0])
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dataSetDescription['path'] = path
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formatSkimEfficiencies(dataSetDescription, totals, lastStep)
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# print '=' * 100
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# print '{0:70} : {1:15d}'.format('Total number of files', len(files))
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# print '{0:70} : {1:15s}'.format('Process recognised', getProcess(files[0]))
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# print '{0:70} : {1:15d}'.format('Total number of events', int(events['total']))
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# print '{0:70} : {1:15d}'.format('Number of events after electron skim', int(events['skimmed']))
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# print '{0:70} : {1:15d}'.format('Number of events after electron skim and HBHE noise filter', events['afterSkimAndNoiseFilter'])
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# print
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# print '{0:70} : {1:15f}'.format('Electron skim efficiency', events['electronSkimEfficiency'])
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# print '{0:70} : {1:15f}'.format('Total skim efficiency', events['totalSkimEfficiency'])
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# print '=' * 100
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