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 [
'signalCands',
'isolationChargedHadrCands',
'isolationGammaCands',
'isolationNeutrHadrCands'] ])) )
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) )