6 from string
import Template
8 stripDiscName =
lambda x: (x.split(
'/')[-1]).
split(
'Eff')[0]
11 [
'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/DecayModeFindingEff%s',
12 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/LooseChargedIsolationEff%s',
13 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/LooseCombinedIsolationDBSumPtCorrEff%s'],
14 [
'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByMediumCombinedIsolationDBSumPtCorr/MediumCombinedIsolationDBSumPtCorrEff%s',
15 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByTightCombinedIsolationDBSumPtCorr/TightCombinedIsolationDBSumPtCorrEff%s',
16 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByVLooseCombinedIsolationDBSumPtCorr/VLooseCombinedIsolationDBSumPtCorrEff%s'],
19 muonrejplots = [
'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByLooseMuonRejection/LooseMuonRejectionEff%s',
'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByMediumMuonRejection/MediumMuonRejectionEff%s',
'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByTightMuonRejection/TightMuonRejectionEff%s']
22 [
'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByLooseElectronRejection/LooseElectronRejectionEff%s',
23 'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMVAElectronRejection/MVAElectronRejectionEff%s',],
24 [
'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMediumElectronRejection/MediumElectronRejectionEff%s',
25 'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByTightElectronRejection/TightElectronRejectionEff%s']
28 variables = {
'a':
'pt',
'b':
'pileup',
'c':
'eta',
'd':
'phi'}
30 datasetNames = {
'RealData' :
'QCD Jets',
'RealMuonsData' :
'muons from Z',
'RealElectronsData' :
'electrons from Z'}
32 outputFileString =
'def shiftpftaulayout(i, p, *rows): i["00 Shift/Tau/" + p] = DQMItem(layout=rows)\n\n%s'
33 stdFill=Template(
'shiftpftaulayout(\n\tdqmitems,\n\t"$locpath",\n\t$rows\n\t)')
36 rows = [[{
'path': plot % (dataType,var),
'description':
'%s fake rate from %s' % (
stripDiscName(plot), datasetNames[dataType]),
'draw': {
'drawopts':
"e"}}
for plot
in row]
for row
in defaultPlots]
37 strow =
',\n\t'.
join([row.__repr__()
for row
in rows])
38 return stdFill.substitute(locpath=locpath,rows=strow)
41 rows = [{
'path': plot % var,
'description':
'%s fake rate' % (
stripDiscName(plot)),
'draw': {
'drawopts':
"e"}}
for plot
in muonrejplots]
42 return stdFill.substitute(locpath=locpath,rows=rows.__repr__())
45 rows = [[{
'path': plot % var,
'description':
'%s fake rate' % (
stripDiscName(plot)),
'draw': {
'drawopts':
"e"}}
for plot
in row]
for row
in elerejplots]
46 strow =
',\n\t'.
join([row.__repr__()
for row
in rows])
47 return stdFill.substitute(locpath=locpath,rows=strow)
52 toAdd = [
defaults(
'SingleMu/00%s - Fake rate from muons vs %s' % item,
'RealMuonsData',item[1])
for item
in variables.items() ]
53 toAdd.extend( [
muRej(
'SingleMu/01%s - Muon rejection fake rate vs %s' % item,item[1])
for item
in variables.items() ] )
54 toAdd.extend( [
defaults(
'SingleMu/02%s - Fake rate from jets vs %s' % item,
'RealData',item[1])
for item
in variables.items() ] )
59 toAdd.extend([
defaults(
'Jet/00%s - Fake rate from jets vs %s' % item,
'RealData',item[1])
for item
in variables.items() ] )
64 toAdd.extend([
defaults(
'DoubleElectron_OR_TauPlusX/00%s - Fake rate from electrons vs %s' % item,
'RealElectronsData',item[1])
for item
in variables.items() ] )
65 toAdd.extend( [
eleRej(
'DoubleElectron_OR_TauPlusX/01%s - Electron rejection fake rate vs %s' % item,item[1])
for item
in variables.items() ] )
67 layout = open(
'shift_pftau_T0_layout.py',
'w')
68 layout.write(outputFileString %
'\n'.
join(toAdd) )
74 layoutString =
'def pftaulayout(i, p, *rows): i["RecoTauV/Layouts/" + p] = DQMItem(layout=rows)\n\n%s'
75 stdFill=Template(
'pftaulayout(\n\tdqmitems,\n\t"$locpath",\n\t$rows\n\t)')
77 layoutDefaultPlots = [
79 [
'RecoTauV/hpsPFTauProducer%s_Matched/PFJetMatchingEff%s',
80 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/DecayModeFindingEff%s'],
81 [
'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/LooseChargedIsolationEff%s',
82 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/LooseCombinedIsolationDBSumPtCorrEff%s'],
85 [
'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseIsolation/LooseIsolationEff%s',
86 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByMediumCombinedIsolationDBSumPtCorr/MediumCombinedIsolationDBSumPtCorrEff%s'],
87 [
'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByTightCombinedIsolationDBSumPtCorr/TightCombinedIsolationDBSumPtCorrEff%s',
88 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByVLooseCombinedIsolationDBSumPtCorr/VLooseCombinedIsolationDBSumPtCorrEff%s'],
93 [
'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByECALIsolationUsingLeadingPion/ECALIsolationUsingLeadingPionEff%s',
94 'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByLeadingPionPtCut/LeadingPionPtCutEff%s'],
95 [
'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByLeadingTrackFinding/LeadingTrackFindingEff%s',
96 'RecoTauV/shrinkingConePFTauProducerLeadingPion%s_shrinkingConePFTauDiscriminationByTrackIsolationUsingLeadingPion/TrackIsolationUsingLeadingPionEff%s']
100 [
'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/hpsPFTauDiscriminationByDecayModeFinding_Size_%s',
101 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/hpsPFTauDiscriminationByLooseChargedIsolation_Size_%s',
102 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr_Size_%s'],
103 [
'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByDecayModeFinding/hpsPFTauDiscriminationByDecayModeFinding_SumPt_%s',
104 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseChargedIsolation/hpsPFTauDiscriminationByLooseChargedIsolation_SumPt_%s',
105 'RecoTauV/hpsPFTauProducer%s_hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr/hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr_SumPt_%s'],
111 framerows = [[[{
'path': plot % (dataType,var),
'description':
'%s fake rate from %s' % (
stripDiscName(plot), datasetNames[dataType]),
'draw': {
'drawopts':
"e"}}
for plot
in row]
for row
in frame]
for frame
in layoutDefaultPlots]
112 strows = [
',\n\t'.
join([row.__repr__()
for row
in rows])
for rows
in framerows]
113 ret = [stdFill.substitute(locpath=locpath % postfix, rows=strow)
for postfix,strow
in zip(string.letters,strows)]
114 return '\n'.
join(ret)
117 rows = [[{
'path': plot % (dataType,var),
'description':
'%s fake rate from %s' % (
stripDiscName(plot), datasetNames[dataType]),
'draw': {
'drawopts':
"e"}}
for plot
in row]
for row
in layoutscone]
118 strow =
',\n\t'.
join([row.__repr__()
for row
in rows])
119 return stdFill.substitute(locpath=locpath,rows=strow)
122 typ =
lambda x: x.split(
'_')[-2]
124 typ +=
' distribution'
125 rows = [[{
'path': plot % (dataType,var),
'description':
'%s faking taus %s of %s' % (datasetNames[dataType],typ(plot), var),
'draw': {
'drawopts':
"e"}}
for plot
in row]
for row
in layoutSizeSumpt]
126 strow =
',\n\t'.
join([row.__repr__()
for row
in rows])
127 return stdFill.substitute(locpath=locpath,rows=strow)
129 variables = {
'a%s':
'pt',
'b%s':
'pileup',
'c%s':
'eta',
'd%s':
'phi'}
130 sumVar =
dict(
list(zip(string.letters,[elem
for elem
in [
'signalPFCands',
'isolationPFChargedHadrCands',
'isolationPFGammaCands',
'isolationPFNeutrHadrCands'] ])) )
136 toAdd = [
layDefaults(
'SingleMu/00%s - Fake rate from muons vs %s' % item,
'RealMuonsData',item[1])
for item
in variables.items() ]
137 toAdd.extend( [
muRej(
'SingleMu/01%s - Muon rejection fake rate vs %s' % (item[0]%
'',item[1]),item[1])
for item
in variables.items() ] )
138 toAdd.extend( [
layDefaults(
'SingleMu/02%s - Fake rate from jets vs %s' % item,
'RealData',item[1])
for item
in variables.items() ] )
139 toAdd.extend( [
sizeSumpt(
'SingleMu/03%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames[
'RealMuonsData']),
'RealMuonsData',item[1])
for item
in sumVar.items() ] )
140 toAdd.extend( [
sizeSumpt(
'SingleMu/04%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames[
'RealData']),
'RealData',item[1])
for item
in sumVar.items() ] )
145 toAdd.extend([
layDefaults(
'Jet/00%s - Fake rate from jets vs %s' % item,
'RealData',item[1])
for item
in variables.items() ] )
146 toAdd.extend( [
sizeSumpt(
'Jet/01%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames[
'RealData']),
'RealData',item[1])
for item
in sumVar.items() ] )
151 toAdd.extend([
layDefaults(
'DoubleElectron_OR_TauPlusX/00%s - Fake rate from electrons vs %s' % item,
'RealElectronsData',item[1])
for item
in variables.items() ] )
152 toAdd.extend( [
eleRej(
'DoubleElectron_OR_TauPlusX/01%s - Electron rejection fake rate vs %s' % (item[0].
replace(
'%s',
''),item[1]),item[1])
for item
in variables.items() ] )
153 toAdd.extend( [
sizeSumpt(
'DoubleElectron_OR_TauPlusX/04%s - Distributions of size and sumPt for %s, %s faking taus' % (item[0], item[1],datasetNames[
'RealElectronsData']),
'RealElectronsData',item[1])
for item
in sumVar.items() ] )
155 layout = open(
'pftatau_T0_layouts.py',
'w')
156 layout.write(layoutString %
'\n'.
join(toAdd) )
static std::string join(char **cmd)
How EventSelector::AcceptEvent() decides whether to accept an event for output otherwise it is excluding the probing of A single or multiple positive and the trigger will pass if any such matching triggers are PASS or EXCEPTION[A criterion thatmatches no triggers at all is detected and causes a throw.] A single negative with an expectation of appropriate bit checking in the decision and the trigger will pass if any such matching triggers are FAIL or EXCEPTION A wildcarded negative criterion that matches more than one trigger in the trigger list("!*","!HLTx*"if it matches 2 triggers or more) will accept the event if all the matching triggers are FAIL.It will reject the event if any of the triggers are PASS or EXCEPTION(this matches the behavior of"!*"before the partial wildcard feature was incorporated).Triggers which are in the READY state are completely ignored.(READY should never be returned since the trigger paths have been run