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makeLayoutFileForGui.py
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1 #!/usr/bin/env python
2 ######################################################################################################################################################
3 # SHIFT LAYOUTS
4 ######################################################################################################################################################
5 #Is there a better way? Can we make it in the DQM, probably, but the documentation is not complete and when you try to make a loop or more then a function the GUI gets crazy. So...
6 from string import Template
7 
8 stripDiscName = lambda x: (x.split('/')[-1]).split('Eff')[0]
9 
10 defaultPlots = [
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'],
17  ]
18 
19 muonrejplots = ['RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByLooseMuonRejection/LooseMuonRejectionEff%s', 'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByMediumMuonRejection/MediumMuonRejectionEff%s', 'RecoTauV/hpsPFTauProducerRealMuonsData_hpsPFTauDiscriminationByTightMuonRejection/TightMuonRejectionEff%s']
20 
21 elerejplots = [
22  ['RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByLooseElectronRejection/LooseElectronRejectionEff%s',
23  'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMVAElectronRejection/MVAElectronRejectionEff%s',],
24  ['RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByMediumElectronRejection/MediumElectronRejectionEff%s',
25  'RecoTauV/hpsPFTauProducerRealElectronsData_hpsPFTauDiscriminationByTightElectronRejection/TightElectronRejectionEff%s']
26  ]
27 
28 variables = {'a':'pt','b':'pileup','c':'eta','d':'phi'}
29 
30 datasetNames = {'RealData' : 'QCD Jets', 'RealMuonsData' : 'muons from Z', 'RealElectronsData' : 'electrons from Z'}
31 
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)')
34 
35 def defaults(locpath,dataType,var):
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)
39 
40 def muRej(locpath,var):
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__())
43 
44 def eleRej(locpath,var):
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)
48 
49 #
50 #SingleMu
51 #
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() ] )
55 
56 #
57 #Jet
58 #
59 toAdd.extend([ defaults('Jet/00%s - Fake rate from jets vs %s' % item,'RealData',item[1]) for item in variables.items() ] )
60 
61 #
62 #DoubleE / TauPlusX
63 #
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() ] )
66 
67 layout = open('shift_pftau_T0_layout.py','w')
68 layout.write(outputFileString % '\n'.join(toAdd) )
69 layout.close()
70 
71 ######################################################################################################################################################
72 # LAYOUTS
73 ######################################################################################################################################################
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)')
76 
77 layoutDefaultPlots = [
78  [
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'],
83  ],
84  [
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'],
89  ]
90  ]
91 
92 layoutscone = [
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']
97  ]
98 
99 layoutSizeSumpt = [
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'],
106  ]
107 
108 import string
109 
110 def layDefaults(locpath,dataType,var):
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)
115 
116 def sCone(locpath,dataType,var):
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)
120 
121 def sizeSumpt(locpath,dataType,var):
122  typ = lambda x: x.split('_')[-2]
123  if typ == 'SumPt':
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)
128 
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'] ])) )
131 
132 
133 #
134 #SingleMu
135 #
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() ] )
141 
142 #
143 #Jet
144 #
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() ] )
147 
148 #
149 #DoubleE / TauPlusX
150 #
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() ] )
154 
155 layout = open('pftatau_T0_layouts.py','w')
156 layout.write(layoutString % '\n'.join(toAdd) )
157 layout.close()
join
static std::string join(char **cmd)
Definition: RemoteFile.cc:18
split
double split
Definition: MVATrainer.cc:139
list
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
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