for ( run, version ) in [ ( 'B', '_ver2' ), ( 'C', '' ), ( 'D', '' ), ( 'E', '' ), ( 'F', '' ), ( 'G', '' ), ( 'H', '' ) ]:
runTag = 'Run2016' + run + '_25Oct2019' + version
for pd in allSamples:
dirs[ pd + "_Run2016" + run + version ] = [ pd + "_" + runTag ]
for pd in allSamples:
merge( pd, 'Run2016BCD', [ 'Run2016B_ver2', 'Run2016C', 'Run2016D' ], dirs )
merge( pd, 'Run2016BCDEFG', [ 'Run2016BCD', 'Run2016E', 'Run2016F', 'Run2016G' ], dirs )
merge( pd, 'Run2016', [ 'Run2016BCDEFG', 'Run2016H' ], dirs )
for key in dirs:
dirs[key] = [ os.path.join( data_directory_, postprocessing_directory_, dir ) for dir in dirs[key] ]
allSamples_Data25ns = []
for pd in allSamples:
vars()[ pd + '_Run2016' ] = getDataSample( pd, 'Run2016', lumi*1000, dirs, redirector=redirector, fromDPM=fromDPM )
allSamples_Data25ns += [ vars()[ pd + '_Run2016' ] ]
Run2016 = Sample.combine( "Run2016", allSamples_Data25ns, texName = "Data" )
Run2016.lumi = lumi*1000
for s in allSamples_Data25ns:
s.color = ROOT.kBlack
s.isData = True
if __name__ == "__main__":
def get_parser():
''' Argument parser for post-processing module.
'''
for key in dirs:
dirs[key] = [
os.path.join(data_directory_, postprocessing_directory_, dir)
for dir in dirs[key]
]
allSamples_Data25ns = []
allSamplesB_Data25ns = []
allSamplesC_Data25ns = []
allSamplesD_Data25ns = []
allSamplesE_Data25ns = []
allSamplesF_Data25ns = []
for pd in allSamples:
vars()[pd + '_Run2017'] = getDataSample(pd,
'Run2017',
lumi * 1000,
dirs,
redirector=redirector,
fromDPM=fromDPM)
vars()[pd + '_Run2017B'] = getDataSample(pd,
'Run2017B',
lumi * 1000,
dirs,
redirector=redirector,
fromDPM=fromDPM)
vars()[pd + '_Run2017C'] = getDataSample(pd,
'Run2017C',
lumi * 1000,
dirs,
redirector=redirector,
fromDPM=fromDPM)
vars()[pd + '_Run2017D'] = getDataSample(pd,
dirs = {}
for ( run, version ) in [ ( 'B', '' ), ( 'C', '' ), ( 'D', '' ), ( 'E', '' ), ( 'F', '' ) ]:
runTag = 'Run2017' + run + '_25Oct2019' + version
for pd in allSamples:
dirs[ pd + "_Run2017" + run + version ] = [ pd + "_" + runTag ]
for pd in allSamples:
merge( pd, 'Run2017', [ 'Run2017B', 'Run2017C', 'Run2017D', 'Run2017E', 'Run2017F' ], dirs )
merge( pd, 'Run2017CDE', [ 'Run2017C', 'Run2017D', 'Run2017E' ], dirs )
for key in dirs:
dirs[key] = [ os.path.join( data_directory, postprocessing_directory, dir ) for dir in dirs[key] ]
allSamples_Data25ns = []
for pd in allSamples:
vars()[ pd + '_Run2017' ] = getDataSample( pd, 'Run2017', lumi*1000, dirs, fromDPM=False )
allSamples_Data25ns += [ vars()[ pd + '_Run2017' ] ]
Run2017 = Sample.combine( "Run2017", allSamples_Data25ns, texName = "Data" )
Run2017.lumi = lumi*1000
for s in allSamples_Data25ns:
s.color = ROOT.kBlack
s.isData = True
if __name__ == "__main__":
def get_parser():
''' Argument parser for post-processing module.
'''