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Create var list #21

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a9d4f50
varSet for 2017 legacy
pekraem Nov 11, 2019
d7de02a
added vetos to generateVariableSet.py
pekraem Nov 11, 2019
103d3c9
Merge branch 'legacyAnalysis' of https://github.com/kit-cn-cms/DRACO-…
pekraem Nov 11, 2019
109df23
number of indices according to n_jets and n_tags possible
pekraem Nov 27, 2019
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46 changes: 32 additions & 14 deletions utils/generateVariableSet.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,8 +7,8 @@
parser = optparse.OptionParser(usage="%prog [options]")
parser.add_option("-f","--file",dest="file",metavar="FILE",
help="ntuple file to check variables")
parser.add_option("-n",dest="number_of_indices",metavar="NINDICES",default=4,
help="determine how many indices should be considered")
parser.add_option("-n",dest="number_of_indices",metavar="NINDICES",default=0,
help="determine how many indices should be considered,\n\tif <1: jets and tags of the category are used")
parser.add_option("--generateSet",action="store_true",dest="generateSet",default=False,
help="generate printout for generating a variable_set.py file")
parser.add_option("-o",dest="outputfile",
Expand All @@ -20,19 +20,22 @@
parser.error("need to specify file")
opts.number_of_indices = int(opts.number_of_indices)


numbers = []
for i in range(10):
numbers.append(str(i))

def getAllVariables(infile):
f = ROOT.TFile(infile)
t = f.Get("MVATree")
variables = []
vetos = ["Weight", "HTXS", "Gen", "Prescale",
"Electron", "Muon", "AK8",
"Triggered", "DeepFlavour",
"common5_output", "Untagged",
"Electron", "Muon", "AK8", "DeepCSV",
"Triggered", "DeepFlavour", "RecoTTH",
"common5_output", "Untagged", "Flav",
"CSV_DNN", "PileUp", "Evt_ID",
"Evt_Lumi", "Evt_Odd", "Evt_Run",
"PartonFlav", "GoodTags",]
"PartonFlav", "GoodTags", "HEM",
"DeepJet_", "Forward", "Loose",]
for b in list(t.GetListOfBranches()):
ignore = False
for veto in vetos:
Expand All @@ -42,19 +45,33 @@ def getAllVariables(infile):
return variables


def figureOutVectors(variables, infile):
def figureOutVectors(variables, infile, category):
if opts.number_of_indices < 1:
for i,c in enumerate(category):
if c in numbers and category[i+1]=="t":
n_tags = int(c)
print("number of jets:\t{}".format(n_tags))
if c in numbers and category[i+1]=="j":
n_jets = int(c)
print("number of tags:\t{}".format(n_jets))
else:
n_jets = opts.number_of_indices
n_tags = opts.number_of_indices

new_variables = []
with uproot.open(infile) as f:
tree = f["MVATree"]

for v in variables:
print("looking at variable: {}".format(v))
#print("looking at variable: {}".format(v))
df = tree.pandas.df([v])
if "subentry" in df.index.names:
if "LooseLepton" in v:
if "Lepton" in v:
new_variables += [v+"[0]"]
elif "Tagged" in v:
new_variables += [v+"[{}]".format(i) for i in range(n_tags)]
elif "Jet" in v or "CSV" in v:
new_variables += [v+"[{}]".format(i) for i in range(opts.number_of_indices)]
new_variables += [v+"[{}]".format(i) for i in range(n_jets)]
else:
print("vector variable {} did not match name query".format(v))
else:
Expand All @@ -66,8 +83,9 @@ def figureOutVectors(variables, infile):
def generateVariableSet(variables, categories, path):
out = "variables = {}\n"
for cat in categories:
newVars = figureOutVectors(variables, opts.file, cat)
out += "variables[\"{}\"] = [\n".format(cat)
for v in variables:
for v in newVars:
out += " '{}',\n".format(v)
out += " ]\n\n"

Expand All @@ -83,9 +101,9 @@ def generateVariableSet(variables, categories, path):


variables = getAllVariables(opts.file)
new_variables = figureOutVectors(variables, opts.file)
#new_variables = figureOutVectors(variables, opts.file)
if opts.generateSet:
generateVariableSet(new_variables, opts.jtregions.split(","), opts.outputfile)
generateVariableSet(variables, opts.jtregions.split(","), opts.outputfile)
else:
print("variables:")
for v in variables: print(v)
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