"Job ID (default: 0)."
)
options.register('isData',
True,
VarParsing.multiplicity.singleton,
VarParsing.varType.bool,
"Run on data or Monte Carlo simulation (default: True)."
)
options.register('verbose',
False,
VarParsing.multiplicity.singleton,
VarParsing.varType.bool,
"Enable verbose outputs (default: False)"
)
options.parseArguments()
if options.jobid < 0: options.jobid = 0
if options.jobid >= options.njobs: options.jobid = options.njobs - 1
# Get JSON file correctly parsed
import FWCore.PythonUtilities.LumiList as LumiList
import FWCore.ParameterSet.Types as CfgTypes
JSONfile = 'Cert_190456-208686_8TeV_PromptReco_Collisions12_JSON.txt'
lumilist = LumiList.LumiList(filename = JSONfile).getCMSSWString().split(',')
process = cms.Process("p")
process.input = cms.PSet(
#fileNames = cms.vstring("../../MyProducts.MET.50k.root"),
#fileNames = cms.vstring("../../../HLTrigger/HLTanalyzers/test/openHLT/MyProducts.MET.root"),
fileNames = cms.vstring("../../../HLTrigger/HLTanalyzers/test/openHLT/MyProducts.MET.root"),
#fileNames = cms.vstring("/eos/uscms/store/user/jiafu/METTriggers/skimHLTPFMET150_eos_20130909/TT_CT10_TuneZ2star_8TeV-powheg-tauola-PU25bx50_2/MyProducts.MC_2_1_ukP.root"),
