crossValPath = 'data/crossValid_citest0.pic.gz'
etBins = [0, 100000]
etaBins = [0, 2.5]
from TuningTools.CrossValid import CrossValidArchieve
with CrossValidArchieve(crossValPath) as CVArchieve:
crossVal = CVArchieve
del CVArchieve
from TuningTools import createData
from TuningTools import Reference, RingerOperation
from RingerCore import expandFolders
createData(basePath + '/' + sgnInputFile,
basePath + '/' + bkgInputFile,
RingerOperation.EFCalo,
referenceSgn=Reference.Off_Likelihood,
referenceBkg=Reference.Truth,
treePath=treePath,
pattern_oFile=outputFile,
l1EmClusCut=1,
l2EtCut=1,
efEtCut=1,
etBins=etBins,
etaBins=etaBins,
crossVal=crossVal,
toMatlab=False)
import sys, os
sys.exit(os.EX_OK) # code 0, all ok
createData(
args.sgnInputFiles,
args.bkgInputFiles,
ringerOperation=args.operation,
referenceSgn=args.reference[0],
referenceBkg=args.reference[1],
treePath=args.treePath,
efficiencyTreePath=args.efficiencyTreePath,
pattern_oFile=args.pattern_output_file,
efficiency_oFile=args.efficiency_output_file,
l1EmClusCut=args.l1EmClusCut,
l2EtCut=args.l2EtCut,
efEtCut=args.efEtCut,
offEtCut=args.offEtCut,
level=args.output_level,
nClusters=args.nClusters,
getRatesOnly=args.getRatesOnly,
etBins=args.etBins,
etaBins=args.etaBins,
ringConfig=args.ringConfig,
extractDet=args.extractDet,
standardCaloVariables=args.standardCaloVariables,
useTRT=args.useTRT,
toMatlab=args.toMatlab,
plotMeans=args.plotMeans,
plotProfiles=args.plotProfiles,
label=args.label,
crossVal=crossVal,
supportTriggers=args.supportTriggers,
pileupRef=args.pileupRef,
)
"HLT/Egamma/Expert/support/probes", "HLT/Egamma/Expert/support/trigger"
]
#crossValPath = 'crossValid_5sorts.pic.gz'
#from TuningTools import CrossValidArchieve
#with CrossValidArchieve( crossValPath ) as CVArchieve:
# crossVal = CVArchieve
# del CVArchieve
import os.path
from TuningTools import Reference, RingerOperation
from TuningTools import createData
from RingerCore import LoggingLevel
createData(
sgnFileList=os.path.join(basePath, sgnInputFile),
bkgFileList=os.path.join(basePath, bkgInputFile),
ringerOperation=RingerOperation.L2Calo,
referenceSgn=Reference.AcceptAll,
referenceBkg=Reference.Truth,
treePath=treePath,
pattern_oFile=outputFile,
nClusters=1000,
etBins=etBins,
etaBins=etaBins,
toMatlab=True,
efficiencyValues=efficiencyValues,
plotProfiles=True,
supportTriggers=True,
#level = LoggingLevel.VERBOSE
)
from TuningTools.dataframe import Dataframe
from RingerCore.Configure import Development
Development.set(True)
createData(
sgnFileList=os.path.join(basePath, sgnInputFile),
bkgFileList=os.path.join(basePath, bkgInputFile),
ringerOperation=RingerOperation.L2Calo,
referenceSgn=Reference.Off_Likelihood, # probes passed by lhmedium
referenceBkg=Reference.
Off_Likelihood, # electrons/any reproved by very loose
treePath=treePath,
pattern_oFile=outputFile,
l2EtCut=14,
offEtCut=10,
#nClusters = 1000,
etBins=etBins,
etaBins=etaBins,
toMatlab=True,
#efficiencyValues = efficiencyValues,
plotMeans=True,
plotProfiles=False,
dataframe=Dataframe.PhysVal_v2,
#extractDet = Detector.Tracking,
extractDet=Detector.Calorimetry,
#level = LoggingLevel.VERBOSE
)
from RingerCore import traverse
from TuningTools import BenchmarkEfficiencyArchieve
import os.path
from TuningTools import Reference, RingerOperation, Detector
from TuningTools import createData
from RingerCore import LoggingLevel
from TuningTools.dataframe import Dataframe
from RingerCore.Configure import Development
Development.set(True)
createData(
sgnFileList=sgnFileList,
bkgFileList=bkgFileList,
ringerOperation=RingerOperation.L2Calo,
referenceSgn=Reference.Off_Likelihood, # probes passed by lhmedium
referenceBkg=Reference.
Off_Likelihood, # electrons/any reproved by very loose
treePath=treePath,
pattern_oFile=outputFile,
l2EtCut=1,
offEtCut=1,
#nClusters = 1000,
etBins=etBins,
etaBins=etaBins,
toMatlab=True,
plotMeans=True,
plotProfiles=False,
dataframe=Dataframe.SkimmedNtuple_v2,
#extractDet = Detector.Tracking,
extractDet=Detector.Calorimetry,
#level = LoggingLevel.VERBOSE
)
from TuningTools import createData
from TuningTools import Reference, RingerOperation
from RingerCore import expandFolders
createData(
basePath+'/'+sgnInputFile ,
#'/tmp/jodafons/user.jodafons.mc15_13TeV.361106.PowhegPythia8EvtGen_AZNLOCTEQ6L1_Zee.merge.AOD.e3601_s2876_r7917_r7676.dump.trigEL.p0100_GLOBAL/',
basePath+'/'+bkgInputFile ,
RingerOperation.EFCalo,
ringConfig = 100,
#referenceSgn = Reference.AcceptAll,
referenceSgn = Reference.Off_Likelihood,
#referenceBkg = Reference.Truth,
referenceBkg = Reference.Off_Likelihood,
treePath = treePath,
pattern_oFile = outputFile,
l1EmClusCut = 20,
l2EtCut = 19,
efEtCut = 24,
etBins = etBins,
etaBins = etaBins,
crossVal = crossVal,
nClusters = 5000,
#efficiencyValues = [97.0, 2.0],
toMatlab = True)
from RingerCore import mkdir_p
mkdir_p(outputFile)
treePath = ["HLT/Egamma/Expert/support/probes",
"HLT/Egamma/Expert/support/trigger"]
#crossValPath = 'crossValid_5sorts.pic.gz'
#from TuningTools import CrossValidArchieve
#with CrossValidArchieve( crossValPath ) as CVArchieve:
# crossVal = CVArchieve
# del CVArchieve
import os.path
from TuningTools import Reference, RingerOperation
from TuningTools import createData
from RingerCore import LoggingLevel
createData( sgnFileList = os.path.join( basePath, sgnInputFile ),
bkgFileList = os.path.join( basePath, bkgInputFile ),
ringerOperation = RingerOperation.L2Calo,
referenceSgn = Reference.AcceptAll,
referenceBkg = Reference.Truth,
treePath = treePath,
pattern_oFile = outputFile,
#nClusters = 1000,
etBins = etBins,
etaBins = etaBins,
toMatlab = True,
efficiencyValues = efficiencyValues,
plotProfiles = True,
supportTriggers = True,
#level = LoggingLevel.VERBOSE
)
from TuningTools import createData
createData( args.sgnInputFiles,
args.bkgInputFiles,
ringerOperation = args.operation,
referenceSgn = args.reference[0],
referenceBkg = args.reference[1],
treePath = args.treePath,
efficiencyTreePath = args.efficiencyTreePath,
pattern_oFile = args.pattern_output_file,
efficiency_oFile = args.efficiency_output_file,
l1EmClusCut = args.l1EmClusCut,
l2EtCut = args.l2EtCut,
efEtCut = args.efEtCut,
offEtCut = args.offEtCut,
level = args.output_level,
nClusters = args.nClusters,
getRatesOnly = args.getRatesOnly,
etBins = args.etBins,
etaBins = args.etaBins,
ringConfig = args.ringConfig,
extractDet = args.extractDet,
standardCaloVariables = args.standardCaloVariables,
useTRT = args.useTRT,
toMatlab = args.toMatlab,
plotMeans = args.plotMeans,
plotProfiles = args.plotProfiles,
label = args.label,
crossVal = crossVal,
supportTriggers = args.supportTriggers,
)
from TuningTools import CrossValidArchieve
with CrossValidArchieve( crossValPath ) as CVArchieve:
crossVal = CVArchieve
del CVArchieve
from TuningTools import createData
from TuningTools import Reference, RingerOperation
from RingerCore import expandFolders
createData( sgnFileList = expandFolders( basePath+'/'+sgnInputFile ),
bkgFileList = expandFolders( basePath+'/'+bkgInputFile ),
ringerOperation = RingerOperation.EFCalo,
referenceSgn = Reference.Off_Likelihood,
referenceBkg = Reference.Truth,
treePath = treePath,
output = outputFile,
l1EmClusCut = 20,
l2EtCut = 19,
efEtCut = 24,
#offEtCut = 24,
#nClusters = 50,
#getRatesOnly = args.getRatesOnly,
etBins = etBins,
etaBins = etaBins,
#ringConfig = args.ringConfig
crossVal = crossVal,
toMatlab = True,
)
from TuningTools import CrossValidArchieve
with CrossValidArchieve(crossValPath) as CVArchieve:
crossVal = CVArchieve
del CVArchieve
from TuningTools import createData
from TuningTools import Reference, RingerOperation
from RingerCore import expandFolders
createData(
sgnFileList=expandFolders(basePath + '/' + sgnInputFile),
bkgFileList=expandFolders(basePath + '/' + bkgInputFile),
ringerOperation=RingerOperation.EFCalo,
referenceSgn=Reference.Off_Likelihood,
referenceBkg=Reference.Truth,
treePath=treePath,
output=outputFile,
l1EmClusCut=20,
l2EtCut=19,
efEtCut=24,
#offEtCut = 24,
#nClusters = 50,
#getRatesOnly = args.getRatesOnly,
etBins=etBins,
etaBins=etaBins,
#ringConfig = args.ringConfig
crossVal=crossVal,
toMatlab=True,
)
etBins = [0, 100000 ]
etaBins = [0, 2.5]
from TuningTools.CrossValid import CrossValidArchieve
with CrossValidArchieve( crossValPath ) as CVArchieve:
crossVal = CVArchieve
del CVArchieve
from TuningTools import createData
from TuningTools import Reference, RingerOperation
from RingerCore import expandFolders
createData( basePath+'/'+sgnInputFile ,
basePath+'/'+bkgInputFile ,
RingerOperation.EFCalo,
ringConfig = [100],
referenceSgn = Reference.Off_Likelihood,
referenceBkg = Reference.Truth,
treePath = treePath,
pattern_oFile = outputFile,
l1EmClusCut = 1,
l2EtCut = 1,
efEtCut = 1,
etBins = etBins,
etaBins = etaBins,
crossVal = crossVal,
toMatlab = False)
import sys,os
sys.exit(os.EX_OK) # code 0, all ok