'TTW': fileset_2018['TTW'],
'TTZ': fileset_2018['TTZ'],
'TTH': fileset_2018['TTH'],
'diboson': fileset_2018['diboson'],
'triboson': fileset_2018['triboson'],
#'wpwp': fileset_2018['wpwp'],
'TTTT': fileset_2018['TTTT'],
'ttbar': fileset_2018['ttbar'],
'MuonEG': fileset_2018['MuonEG'],
'DoubleMuon': fileset_2018['DoubleMuon'],
'EGamma': fileset_2018['EGamma'],
#'topW_full_EFT': glob.glob('/hadoop/cms/store/user/dspitzba/nanoAOD/ttw_samples/topW_v0.2.5/ProjectMetis_TTWJetsToLNuEWK_5f_NLO_RunIIAutumn18_NANO_UL17_v7/*.root'),
#'topW_NLO': glob.glob('/hadoop/cms/store/user/dspitzba/nanoAOD/ttw_samples/topW_v0.2.5/ProjectMetis_TTWJetsToLNuEWK_5f_SMEFTatNLO_weight_RunIIAutumn18_NANO_UL17_v7/*.root'),
}
fileset = make_small(fileset, small)
add_processes_to_output(fileset, desired_output)
exe_args = {
'workers': 12,
'function_args': {'flatten': False},
"schema": NanoAODSchema,
}
exe = processor.futures_executor
# add some histograms that we defined in the processor
# everything else is taken the default_accumulators.py
from processor.default_accumulators import multiplicity_axis, dataset_axis, score_axis, pt_axis
desired_output.update({
"ST": hist.Hist("Counts", dataset_axis, pt_axis),
'TTW': fileset_all['TTW'],
'TTZ': fileset_all['TTZ'],
'TTH': fileset_all['TTH'],
'diboson': fileset_all['diboson'],
'rare': fileset_all['TTTT']+fileset_all['triboson'],
#'ttbar': fileset_all['ttbar1l'],
#'ttbar': fileset_all['ttbar2l'],
'ttbar': fileset_all['top'],
'MuonEG': fileset_all['MuonEG'],
'DoubleMuon': fileset_all['DoubleMuon'],
'EGamma': fileset_all['EGamma'],
####'topW_full_EFT': glob.glob('/hadoop/cms/store/user/dspitzba/nanoAOD/ttw_samples/topW_v0.2.5/ProjectMetis_TTWJetsToLNuEWK_5f_NLO_RunIIAutumn18_NANO_UL17_v7/*.root'),
####'topW_NLO': glob.glob('/hadoop/cms/store/user/dspitzba/nanoAOD/ttw_samples/topW_v0.2.5/ProjectMetis_TTWJetsToLNuEWK_5f_SMEFTatNLO_weight_RunIIAutumn18_NANO_UL17_v7/*.root'),
}
fileset = make_small(fileset, small, n_max=10)
if verysmall:
fileset = {'topW_v3': fileset['topW_v3'], 'MuonEG': fileset['MuonEG'], 'ttbar': fileset['ttbar']}
#fileset = make_small(fileset, small)
add_processes_to_output(fileset, desired_output)
if args.dump:
variables = [
'n_jet',
'n_b',
'n_fwd',
'n_tau',
#'n_track',