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00001 import FWCore.ParameterSet.Config as cms
00002 import Validation.RecoTau.ValidationUtils as Utils
00003 import copy
00004 import re
00005 import os
00006 
00007 #from Validation.RecoTau.ValidationOptions_cff import *
00008 
00009 
00010 """
00011 
00012    RecoTauValidation_cfi.py
00013 
00014    Contains the standard tau Validation parameters.  It is organized into
00015    the following sections.
00016 
00017    DENOMINATOR 
00018      
00019      Set common kinematic cuts (pt > 5 and eta < 2.5) on the denominator source.
00020      Note that the denominator depends on the type of test (signal/background/e etc)
00021 
00022      The denominator kinematic cutter requires that 
00023 
00024    HISTOGRAMS
00025 
00026      Produce numerator and denominator histgorams used to produce
00027      tau efficiency plots
00028 
00029         Provides sequence: 
00030           TauValNumeratorAndDenominator 
00031         Requires:
00032           tauValSelectedDenominator (filtered GenJet collection)
00033         
00034    EFFICIENCY
00035    
00036      Using numerator and denominators, calculate and store
00037      the efficiency curves
00038 
00039         Provides sequence:
00040           TauEfficiencies
00041         Requires:
00042           TauValNumeratorAndDenominator
00043 
00044    PLOTTING
00045 
00046      Plot curves calculated in efficiency, in both an overlay mode
00047      showing overall performance for a release, and the indvidual 
00048      discriminator efficiency compared to a given release
00049 
00050         Provides sequence:
00051           loadTau
00052           plotTauValidation
00053           loadAndPlotTauValidation
00054 
00055         Requires:
00056           TauEfficiencies, external root file to compare to
00057 
00058      Plotting must be executed in a separate cmsRun job!
00059 
00060    UTILITIES
00061      
00062      Various scripts to automate things...
00063 
00064 
00065 """
00066 
00067 """
00068 
00069 DENOMINATOR
00070 
00071 """
00072 
00073 kinematicSelectedTauValDenominatorCut = cms.string('pt > 5. && abs(eta) < 2.5')
00074 denominator = cms.InputTag("kinematicSelectedTauValDenominator")
00075 
00076 """
00077 
00078 HISTOGRAMS
00079 
00080         Plot the pt/eta/energy/phi spectrum of PFTaus that pass 
00081         a series of PFTauDiscriminator cuts.
00082 
00083         These will be used as the numerator/denominators of the
00084         efficiency calculations
00085 """
00086 
00087 #helper process to make future cloning easier
00088 proc = cms.Process('helper')
00089 
00090 StandardMatchingParameters = cms.PSet(
00091    DataType                     = cms.string('Leptons'),               
00092    MatchDeltaR_Leptons          = cms.double(0.15),
00093    MatchDeltaR_Jets             = cms.double(0.3),
00094    SaveOutputHistograms         = cms.bool(False), #TRUE FOR TEST ONLY
00095    #RefCollection                = cms.InputTag("TauGenJetProducer","selectedGenTauDecaysToHadronsPt5Cumulative"),
00096    RefCollection                = denominator,
00097    TauPtCut                     = cms.double(0.), #almost deprecated, since recoCuts provides more flexibility
00098    recoCuts                     = cms.string(''), #filter reconstructed candidates. leave this empty to select all. or use sth like: pt > 20 & abs(eta) < 2.3
00099    genCuts                      = cms.string(''), #filter generated candidates. leave this empty to select all. or use sth like: pt > 20 & abs(eta) < 2.3
00100    chainCuts                    = cms.bool(False) #Decide whether to chain discriminators or not
00101 )
00102 
00103 GenericTriggerSelectionParameters = cms.PSet(
00104    andOr          = cms.bool( False ),#specifies the logical combination of the single filters' (L1, HLT and DCS) decisions at top level (True=OR)
00105    dbLabel        = cms.string("PFTauDQMTrigger"),#specifies the label under which the DB payload is available from the ESSource or Global Tag
00106    andOrHlt       = cms.bool(True),#specifies the logical combination of the single HLT paths' decisions (True=OR)
00107    hltInputTag    = cms.InputTag("TriggerResults::HLT"),
00108    #hltDBKey       = cms.string('jetmet_highptjet'),#Tag of the record in the database, where IOV-based HLT paths are found. This record overwrites the configuration parameter hltPaths
00109    hltPaths       = cms.vstring('HLT_IsoMu*_eta*_LooseIsoPFTau*_v*','HLT_DoubleIsoPFTau*_Trk*_eta*_v*'),#Lists logical expressions of HLT paths, which should have accepted the event (fallback in case DB unaccessible)
00110    errorReplyHlt  = cms.bool(False),#specifies the desired return value of the HLT filter and the single HLT path filter in case of certain errors
00111    verbosityLevel = cms.uint32(0) #0: complete silence (default), needed for T0 processing;
00112 )
00113 
00114 proc.PFTausHighEfficiencyLeadingPionBothProngs = cms.EDAnalyzer("TauTagValidation",
00115    StandardMatchingParameters,
00116    GenericTriggerSelection = GenericTriggerSelectionParameters,
00117    ExtensionName           = cms.string("LeadingPion"),
00118    TauProducer             = cms.InputTag('shrinkingConePFTauProducer'),
00119    discriminators          = cms.VPSet(
00120     cms.PSet( discriminator = cms.string("shrinkingConePFTauDiscriminationByLeadingTrackFinding"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00121     cms.PSet( discriminator = cms.string("shrinkingConePFTauDiscriminationByLeadingPionPtCut"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)), #not plotted
00122     cms.PSet( discriminator = cms.string("shrinkingConePFTauDiscriminationByTrackIsolationUsingLeadingPion"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00123     cms.PSet( discriminator = cms.string("shrinkingConePFTauDiscriminationByECALIsolationUsingLeadingPion"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00124     cms.PSet( discriminator = cms.string("shrinkingConePFTauDiscriminationAgainstElectron"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00125     cms.PSet( discriminator = cms.string("shrinkingConePFTauDiscriminationAgainstMuon"),selectionCut = cms.double(0.5),plotStep = cms.bool(True))
00126  )
00127 )
00128 
00129 proc.RunHPSValidation = proc.PFTausHighEfficiencyLeadingPionBothProngs.clone()
00130 proc.RunHPSValidation.ExtensionName = ""
00131 #RunHPSValidation.TauPtCut = cms.double(15.)
00132 proc.RunHPSValidation.TauProducer   = cms.InputTag('hpsPFTauProducer')
00133 proc.RunHPSValidation.discriminators = cms.VPSet(
00134    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByDecayModeFinding"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00135    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByVLooseChargedIsolation"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00136    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByLooseChargedIsolation"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00137    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByTightChargedIsolation"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00138    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByLooseIsolation"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00139    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByVLooseCombinedIsolationDBSumPtCorr"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00140    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByLooseCombinedIsolationDBSumPtCorr"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00141    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByMediumCombinedIsolationDBSumPtCorr"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00142    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByTightCombinedIsolationDBSumPtCorr"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00143    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByLooseElectronRejection"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00144    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByMediumElectronRejection"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00145    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByTightElectronRejection"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00146    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByLooseMuonRejection"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00147    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByMediumMuonRejection"),selectionCut = cms.double(0.5),plotStep = cms.bool(True)),
00148    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByTightMuonRejection"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00149    cms.PSet( discriminator = cms.string("hpsPFTauDiscriminationByMVAElectronRejection"),selectionCut = cms.double(0.5),plotStep = cms.bool(False)),
00150 )
00151 
00152 proc.TauValNumeratorAndDenominator = cms.Sequence(
00153       proc.PFTausHighEfficiencyLeadingPionBothProngs+
00154       proc.RunHPSValidation
00155    )
00156 
00157 """
00158 
00159 EFFICIENCY
00160 
00161         Tau efficiency calculations
00162 
00163         Define the Efficiency curves to produce.  Each
00164         efficiency producer takes the numberator and denominator
00165         histograms and the dependent variables.
00166 """
00167 
00168 plotPset = Utils.SetPlotSequence(proc.TauValNumeratorAndDenominator)
00169 proc.efficiencies = cms.EDAnalyzer(
00170    "TauDQMHistEffProducer",
00171    plots = plotPset    
00172    )
00173 
00174 
00175 ################################################
00176 #
00177 #         Normalizes All the histograms
00178 #
00179 ################################################
00180 
00181 proc.normalizePlots = cms.EDAnalyzer(
00182    "DQMHistNormalizer",
00183    plotNamesToNormalize = cms.vstring('*_pTRatio_*','*_Size_*','*_SumPt_*','*_dRTauRefJet*'),
00184    reference = cms.string('*_pTRatio_allHadronic')
00185    )
00186 
00187 proc.TauEfficiencies = cms.Sequence(
00188    proc.efficiencies*
00189    proc.normalizePlots
00190    )
00191 
00192 """
00193 
00194 PLOTTING
00195 
00196         loadTau:  load two separate TauVal root files into the DQM
00197                   so the plotter can access them
00198 
00199 """
00200 
00201 loadTau = cms.EDAnalyzer("TauDQMFileLoader",
00202   test = cms.PSet(
00203     #inputFileNames = cms.vstring('/afs/cern.ch/user/f/friis/scratch0/MyValidationArea/310pre6NewTags/src/Validation/RecoTau/test/CMSSW_3_1_0_pre6_ZTT_0505Fixes.root'),
00204     inputFileNames = cms.vstring('/opt/sbg/cms/ui4_data1/dbodin/CMSSW_3_5_1/src/TauID/QCD_recoFiles/TauVal_CMSSW_3_6_0_QCD.root'),
00205     scaleFactor = cms.double(1.),
00206     dqmDirectory_store = cms.string('test')
00207   ),
00208   reference = cms.PSet(
00209     inputFileNames = cms.vstring('/opt/sbg/cms/ui4_data1/dbodin/CMSSW_3_5_1/src/TauID/QCD_recoFiles/TauVal_CMSSW_3_6_0_QCD.root'),
00210     scaleFactor = cms.double(1.),
00211     dqmDirectory_store = cms.string('reference')
00212   )
00213 )
00214 
00215 # Lots of junk to define the plot style
00216 
00217 # standard drawing stuff
00218 xAxisStuff = cms.PSet(
00219    xAxisTitle = cms.string('P_{T} / GeV'),
00220    xAxisTitleOffset = cms.double(0.9),
00221    xAxisTitleSize = cms.double(0.05)
00222 )
00223 xModifiers = [['pt',['xAxisTitle'],['P_{T} / GeV']],['eta',['xAxisTitle'],['#eta']],['phi',['xAxisTitle'],['#phi']],['pileup',['xAxisTitle'],['# of Reco Vertices']]]
00224 
00225 yAxisStuff =cms.PSet(
00226    yScale = cms.string('linear'), # linear/log
00227    minY_linear = cms.double(0.),
00228    maxY_linear = cms.double(1.6),
00229    minY_log = cms.double(0.001),
00230    maxY_log = cms.double(1.8),
00231    yAxisTitle = cms.string('#varepsilon'), 
00232    yAxisTitleOffset = cms.double(1.1),
00233    yAxisTitleSize = cms.double(0.05)
00234 )
00235 yModifiers = [['efficiency',['yScale','yAxisTitle'],['linear','#varepsilon']],['fakeRate',['yScale','yAxisTitle'],['log','Fake rate']]]
00236 
00237 legStuff = cms.PSet(
00238    posX = cms.double(0.50),
00239    posY = cms.double(0.72),
00240    sizeX = cms.double(0.39),
00241    sizeY = cms.double(0.17),
00242    header = cms.string(''),
00243    option = cms.string('brNDC'),
00244    borderSize = cms.int32(0),
00245    fillColor = cms.int32(0)
00246 )
00247 legModifiers = [['efficiency',['posY','sizeY'],[0.72,0.17]],['efficiency_overlay',['posY','sizeY'],[0.66,0.23]]]
00248 
00249 drawOptStuff = cms.PSet(
00250    markerColor = cms.int32(1),
00251    markerSize = cms.double(1.),
00252    markerStyle = cms.int32(20),
00253    lineColor = cms.int32(1),
00254    lineStyle = cms.int32(1),
00255    lineWidth = cms.int32(2),
00256    drawOption = cms.string('ex0'),
00257    drawOptionLegend = cms.string('p')
00258 )
00259 drawOptModifiers = [['eff_overlay01',['markerColor','lineColor'],[1,1]],['eff_overlay02',['markerColor','lineColor'],[2,2]],['eff_overlay03',['markerColor','lineColor'],[3,3]],['eff_overlay04',['markerColor','lineColor'],[4,4]],['eff_overlay05',['markerColor','lineColor'],[6,6]],['eff_overlay06',['markerColor','lineColor'],[5,5]],['eff_overlay07',['markerColor','lineColor'],[7,7]],['eff_overlay08',['markerColor','lineColor'],[28,28]],['eff_overlay09',['markerColor','lineColor','markerStyle'],[2,2,29]],['eff_overlay010',['markerColor','lineColor','markerStyle'],[4,4,29]],['eff_overlay011',['markerColor','lineColor','markerStyle'],[6,6,29]]]
00260 
00261 standardDrawingStuff = cms.PSet(
00262   canvasSizeX = cms.int32(640),
00263   canvasSizeY = cms.int32(640),                         
00264   indOutputFileName = cms.string('#PLOT#.png'),
00265   xAxes = Utils.SpawnPSet(xModifiers,xAxisStuff),
00266   yAxes = Utils.SpawnPSet(yModifiers,yAxisStuff),
00267   legends =  Utils.SpawnPSet(legModifiers,legStuff),
00268   labels = cms.PSet(
00269     pt = cms.PSet(
00270       posX = cms.double(0.19),
00271       posY = cms.double(0.77),
00272       sizeX = cms.double(0.12),
00273       sizeY = cms.double(0.04),
00274       option = cms.string('brNDC'),
00275       borderSize = cms.int32(0),
00276       fillColor = cms.int32(0),
00277       textColor = cms.int32(1),
00278       textSize = cms.double(0.04),
00279       textAlign = cms.int32(22),
00280       text = cms.vstring('P_{T} > 5 GeV') #vstring not supported by SpawnPSet
00281     ),
00282     eta = cms.PSet(
00283       posX = cms.double(0.19),
00284       posY = cms.double(0.83),
00285       sizeX = cms.double(0.12),
00286       sizeY = cms.double(0.04),
00287       option = cms.string('brNDC'),
00288       borderSize = cms.int32(0),
00289       fillColor = cms.int32(0),
00290       textColor = cms.int32(1),
00291       textSize = cms.double(0.04),
00292       textAlign = cms.int32(22),
00293       text = cms.vstring('-2.5 < #eta < +2.5')
00294     )
00295   ),
00296   drawOptionSets = cms.PSet(
00297     efficiency = cms.PSet(
00298         test = cms.PSet(
00299         markerColor = cms.int32(4),
00300         markerSize = cms.double(1.),
00301         markerStyle = cms.int32(20),
00302         lineColor = cms.int32(1),
00303         lineStyle = cms.int32(1),
00304         lineWidth = cms.int32(1),
00305         drawOption = cms.string('ep'),
00306         drawOptionLegend = cms.string('p')
00307       ),
00308       reference = cms.PSet(
00309         lineColor = cms.int32(1),
00310         lineStyle = cms.int32(1),
00311         lineWidth = cms.int32(1),
00312         fillColor = cms.int32(41),
00313         drawOption = cms.string('eBand'),
00314         drawOptionLegend = cms.string('l')
00315       )
00316     )
00317   ),
00318   drawOptionEntries =  Utils.SpawnPSet(drawOptModifiers,drawOptStuff)
00319 )
00320 
00321 standardCompareTestAndReference = cms.PSet(
00322   processes = cms.PSet(
00323     test = cms.PSet(
00324       dqmDirectory = cms.string('test'),
00325       legendEntry = cms.string('no test label'),
00326       type = cms.string('smMC') # Data/smMC/bsmMC/smSumMC
00327     ),
00328     reference = cms.PSet(
00329       dqmDirectory = cms.string('reference'),
00330       legendEntry = cms.string('no ref label'),
00331       type = cms.string('smMC') # Data/smMC/bsmMC/smSumMC
00332     )
00333   ),
00334 )
00335         
00336 
00337 ##################################################
00338 #
00339 #   The plotting of HPS Efficiencies
00340 #
00341 ##################################################
00342 ## plotHPSEfficiencies = cms.EDAnalyzer("TauDQMHistPlotter",
00343 ##                                      standardDrawingStuff,
00344 ##                                      standardCompareTestAndReference,
00345 ##                                      drawJobs = Utils.SpawnDrawJobs(RunHPSValidation, plotPset),
00346 ##                                      outputFilePath = cms.string('./hpsPFTauProducer/'),
00347 ##                                      PrintToFile = cms.bool(True)
00348 ##                                      )
00349 ## #clone for DQM
00350 ## plotHPSEfficiencies2 = plotHPSEfficiencies.clone()
00351 
00352 
00353 ##################################################
00354 #
00355 #   The plotting of all the Shrinking cone leading pion efficiencies
00356 #
00357 ##################################################
00358 ## plotPFTauHighEfficiencyEfficienciesLeadingPion = cms.EDAnalyzer("TauDQMHistPlotter",
00359 ##                                                                 standardDrawingStuff,
00360 ##                                                                 standardCompareTestAndReference,
00361 ##                                                                 drawJobs = Utils.SpawnDrawJobs(PFTausHighEfficiencyLeadingPionBothProngs, plotPset),
00362 ##                                                                 outputFilePath = cms.string('./shrinkingConePFTauProducerLeadingPion/'),
00363 ##                                                                 PrintToFile = cms.bool(True)
00364 ##                                                                 )
00365 ## #clone for DQM
00366 ## plotPFTauHighEfficiencyEfficienciesLeadingPion2 = plotPFTauHighEfficiencyEfficienciesLeadingPion.clone()
00367 
00368 
00369 ## plotTauValidation = cms.Sequence(
00370 ##       plotPFTauHighEfficiencyEfficienciesLeadingPion
00371 ##       +plotHPSEfficiencies
00372 ##       )
00373 
00374 ## plotTauValidation2 = cms.Sequence(
00375 ##       plotPFTauHighEfficiencyEfficienciesLeadingPion2
00376 ##       +plotHPSEfficiencies2
00377 ##       )
00378 
00379 
00380 ## loadAndPlotTauValidation = cms.Sequence(
00381 ##       loadTau
00382 ##       +plotTauValidation
00383 ##       )
00384 
00385 """
00386 
00387 UTILITIES
00388 
00389 """
00390 
00391 class ApplyFunctionToSequence:
00392    """ helper class that applies a given function to all modules
00393        in a sequence """
00394    def __init__(self,function):
00395       self.functor = function
00396    def enter(self, module):
00397       self.functor(module)
00398    def leave(self, module):
00399       pass
00400 
00401 def TranslateToLegacyProdNames(input):
00402    input = re.sub('fixedConePFTauProducer', 'pfRecoTauProducer', input)
00403    #fixedDiscriminationRegex = re.compile('fixedConePFTauDiscrimination( \w* )')
00404    fixedDiscriminationRegex = re.compile('fixedConePFTauDiscrimination(\w*)')
00405    input = fixedDiscriminationRegex.sub(r'pfRecoTauDiscrimination\1', input)
00406    input = re.sub('shrinkingConePFTauProducer', 'pfRecoTauProducerHighEfficiency', input)
00407    shrinkingDiscriminationRegex = re.compile('shrinkingConePFTauDiscrimination(\w*)')
00408    input = shrinkingDiscriminationRegex.sub(r'pfRecoTauDiscrimination\1HighEfficiency', input)
00409    return input
00410 
00411 
00412 def ConvertDrawJobToLegacyCompare(input):
00413    """ Converts a draw job defined to compare 31X named PFTau validtion efficiencies
00414        to comapre a 31X to a 22X named Validation """
00415    # get the list of drawjobs { name : copyOfPSet }
00416    if not hasattr(input, "drawJobs"):
00417       return
00418    myDrawJobs = input.drawJobs.parameters_()
00419    for drawJobName, drawJobData in myDrawJobs.iteritems():
00420       print drawJobData
00421       if not drawJobData.plots.pythonTypeName() == "cms.PSet":
00422          continue
00423       pSetToInsert = cms.PSet(
00424             standardEfficiencyParameters,
00425             plots = cms.VPSet(
00426                # test plot w/ modern names
00427                cms.PSet(
00428                   dqmMonitorElements = drawJobData.plots.dqmMonitorElements,
00429                   process = cms.string('test'),
00430                   drawOptionEntry = cms.string('eff_overlay01'),
00431                   legendEntry = cms.string(input.processes.test.legendEntry.value())
00432                   ),
00433                # ref plot w/ vintage name
00434                cms.PSet(
00435                   # translate the name
00436                   dqmMonitorElements = cms.vstring(TranslateToLegacyProdNames(drawJobData.plots.dqmMonitorElements.value()[0])),
00437                   process = cms.string('reference'),
00438                   drawOptionEntry = cms.string('eff_overlay02'),
00439                   legendEntry = cms.string(input.processes.reference.legendEntry.value())
00440                   )
00441                )
00442             )
00443       input.drawJobs.__setattr__(drawJobName, pSetToInsert)
00444 
00445 def MakeLabeler(TestLabel, ReferenceLabel):
00446    def labeler(module):
00447       if hasattr(module, 'processes'):
00448          if module.processes.hasParameter(['test', 'legendEntry']) and module.processes.hasParameter([ 'reference', 'legendEntry']):
00449             module.processes.test.legendEntry = TestLabel
00450             module.processes.reference.legendEntry = ReferenceLabel
00451             print "Set test label to %s and reference label to %s for plot producer %s" % (TestLabel, ReferenceLabel, module.label())
00452          else:
00453             print "ERROR in RecoTauValidation_cfi::MakeLabeler - trying to set test/reference label but %s does not have processes.(test/reference).legendEntry parameters!" % module.label()
00454    return labeler
00455 
00456 def SetYmodulesToLog(matchingNames = []):
00457    ''' set all modules whose name contains one of the matching names to log y scale'''
00458    def yLogger(module):
00459       ''' set a module to use log scaling in the yAxis'''
00460       if hasattr(module, 'drawJobs'):
00461          print "EK DEBUG"
00462          drawJobParamGetter = lambda subName : getattr(module.drawJobs, subName)
00463          #for subModule in [getattr(module.drawJobs, subModuleName) for subModuleName in dir(module.drawJobs)]:
00464          attrNames = dir(module.drawJobs)
00465          for subModuleName, subModule in zip(attrNames, map(drawJobParamGetter, attrNames)):
00466             matchedNames = [name for name in matchingNames if subModuleName.find( name) > -1] # matching sub strings
00467             if len(matchingNames) == 0:
00468                matchedNames = ['take','everything','and','dont','bother']
00469             if hasattr(subModule, "yAxis") and len(matchedNames):
00470                print "Setting drawJob: ", subModuleName, " to log scale."
00471                subModule.yAxis = cms.string('fakeRate') #'fakeRate' configuration specifies the log scaling
00472          if len(matchingNames) == 0: 
00473             module.yAxes.efficiency.maxY_log = 40
00474             module.yAxes.fakeRate.maxY_log = 40
00475    return yLogger
00476 
00477 
00478 def SetBaseDirectory(Directory):
00479    def BaseDirectorizer(module):
00480       newPath = Directory
00481       #if module.hasParameter("outputFilePath"):
00482       if hasattr(module, "outputFilePath"):
00483          oldPath = module.outputFilePath.value()
00484          newPath = os.path.join(newPath, oldPath)
00485          if not os.path.exists(newPath):
00486             os.makedirs(newPath)
00487          print newPath
00488          module.outputFilePath = cms.string("%s" % newPath)
00489    return BaseDirectorizer
00490 
00491 def RemoveComparisonPlotCommands(module):
00492    if hasattr(module, 'drawJobs'):
00493       #get draw job parameter names
00494       drawJobs = module.drawJobs.parameterNames_()
00495       for drawJob in drawJobs:
00496          if drawJob != "TauIdEffStepByStep":
00497             module.drawJobs.__delattr__(drawJob)
00498             print "Removing comparison plot", drawJob
00499 
00500 def SetPlotDirectory(myPlottingSequence, directory):
00501    myFunctor = ApplyFunctionToSequence(SetBaseDirectory(directory))
00502    myPlottingSequence.visit(myFunctor)
00503 
00504 def SetTestAndReferenceLabels(myPlottingSequence, TestLabel, ReferenceLabel):
00505    myFunctor = ApplyFunctionToSequence(MakeLabeler(TestLabel, ReferenceLabel))
00506    myPlottingSequence.visit(myFunctor)
00507 
00508 def SetCompareToLegacyProductNames(myPlottingSequence):
00509    myFunctor = ApplyFunctionToSequence(ConvertDrawJobToLegacyCompare)
00510    myPlottingSequence.visit(myFunctor)
00511 
00512 def SetTestFileToPlot(myProcess, FileLoc):
00513    myProcess.loadTau.test.inputFileNames = cms.vstring(FileLoc)
00514 
00515 def SetReferenceFileToPlot(myProcess, FileLoc):
00516    if FileLoc == None:
00517       del myProcess.loadTau.reference
00518    else:
00519       myProcess.loadTau.reference.inputFileNames = cms.vstring(FileLoc)
00520 
00521 def SetLogScale(myPlottingSequence):
00522    myFunctor = ApplyFunctionToSequence(SetYmodulesToLog())
00523    myPlottingSequence.visit(myFunctor)
00524 
00525 def SetSmartLogScale(myPlottingSequence):
00526    myFunctor = ApplyFunctionToSequence(SetYmodulesToLog(['Electron', 'Muon', 'Isolation', 'TaNC']))
00527    myPlottingSequence.visit(myFunctor)
00528 
00529 def SetPlotOnlyStepByStep(myPlottingSequence):
00530    myFunctor = ApplyFunctionToSequence(RemoveComparisonPlotCommands)
00531    myPlottingSequence.visit(myFunctor)
00532 
00533 def SetValidationExtention(module, extension):
00534     module.ExtensionName = module.ExtensionName.value()+extension
00535 
00536 def setBinning(module,pset):
00537     if module._TypedParameterizable__type == 'TauTagValidation':
00538         module.histoSettings = pset
00539 
00540 def setTrigger(module,pset):
00541    if hasattr(module,'_TypedParameterizable__type') and module._TypedParameterizable__type == 'TauTagValidation':
00542       setattr(module,'turnOnTrigger',cms.bool(True)) #Turns on trigger (in case is off)
00543       for item in pset.parameters_().items():
00544          setattr(module.GenericTriggerSelection,item[0],item[1])
/data/refman/pasoursint/CMSSW_5_3_10/src/Validation/RecoTau/python/RecoTauValidation_cfi.py
