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createCondor_2D.py
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createCondor_2D.py
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#!/usr/bin/env python
import os
import sys
from glob import glob
#from configparser import ConfigParser
import numpy as np
import stat
opr = {
'cW': [-5,5],
#'cHWB': [-10,10],
'cHWB': [-30,30],
'cHl3' : [-5,5],
#'cHq1':[-1,1],
'cHq1':[-8,8],
'cHq3': [-10,10],
'cll1': [-2,2],
#'cHbox': [-10,10],
'cHbox': [-10,10],
'cHDD' : [-50,20],
'cHl1' : [-70,70],
'cHW': [-20,20] ,
'cqq11': [-2,2] ,
'cqq1' : [-2,2] ,
'cqq31': [-1.5,1.5] ,
'cqq3': [-1.5,1.5] ,
'cll': [-100,100]
}
def redemensionOpinput(config):
sample = config.getlist("general", "sample")
ops = config.getlist("eft", "operators")
ops = [i[1:-1].split(":") for i in ops]
ops = [list(map(str, sublist)) for sublist in ops]
if len(sample) > len(ops) and len(ops) == 1:
return ops*len(samples)
elif len(sample) > len(ops) and len(ops) == 1:
sys.exit("[ERROR] Ambiguity in the definition of samples and op per sample")
else:
return ops
def createOpRange(config):
if not config.has_option("eft", "fitranges"):
all_ops = np.unique([item for subs in redemensionOpinput(config) for item in subs])
return dict((i, [-10,10]) for i in all_ops)
else:
or_ = config.getlist("eft", "fitranges")
return dict( (i.split(":")[0], [ float(i.split(":")[1]) , float(i.split(":")[2]) ] ) for i in or_ )
def makeSubmit(outdir, npoints, nop):
# Here 3 is a constant because it starts from $1 = dir $2 = npoints
file_name = outdir + "/submit.sh"
f = open(file_name, 'w')
ops_str = ",".join(["$" + str(i) for i in range(3, nop + 3)])
pois_str = ",".join(["k_$" + str(i) for i in range(3, nop + 3)])
inf_str = ",".join(["$" + str(i) for i in range(nop + 3, 2*nop + 3)])
sup_str = ",".join(["$" + str(i) for i in range(2*nop + 3, 3*nop + 3)])
ranges = ""
for i,j,k in zip(pois_str.split(","), inf_str.split(","), sup_str.split(",")):
ranges += "{}={},{}:".format(i,j,k)
ranges = ranges[:-1] #delete last ":"
f.write("#!/bin/sh\n\n")
f.write("#-----------------------------------\n")
f.write("# Automatically generated # \n")
f.write("# by mkDatacard.py # \n")
f.write("#-----------------------------------\n")
f.write("\n\n\n")
f.write('source /cvmfs/cms.cern.ch/cmsset_default.sh\n')
f.write('cd $1\n')
f.write('eval `scram run -sh`\n')
f.write('cd -\n')
f.write('cp -r $1 ./\n')
f.write('text2workspace.py $1/datacard.txt -P HiggsAnalysis.AnalyticAnomalousCoupling.AnomalousCouplingEFTNegative:analiticAnomalousCouplingEFTNegative -o combined.root --X-allow-no-signal --PO eftOperators={}\n'.format(ops_str))
f.write('#-----------------------------------\n')
f.write('combine -M MultiDimFit combined.root --algo=grid --points $2 -m 125 -t -1 --robustFit=1 --X-rtd FITTER_NEW_CROSSING_ALGO --X-rtd FITTER_NEVER_GIVE_UP --X-rtd FITTER_BOUND --redefineSignalPOIs {} --freezeParameters r --setParameters r=1 --setParameterRanges {} --verbose -1\n'.format(pois_str, ranges))
f.write('cp combined.root $1\n')
f.write('cp higgsCombineTest.MultiDimFit.mH125.root $1\n')
f.close()
#convert to executable
st = os.stat(file_name)
os.chmod(file_name, st.st_mode | stat.S_IEXEC)
#.sub file
ops_str = " ".join(["$(op{})".format(i) for i in range(1, nop+1)])
ops_str_var = ",".join(["op{}".format(i) for i in range(1, nop+1)])
min_str = " ".join(["$(min_op{})".format(i) for i in range(1, nop+1)])
min_str_var = ",".join(["min_op{}".format(i) for i in range(1, nop+1)])
max_str = " ".join(["$(max_op{})".format(i) for i in range(1, nop+1)])
max_str_var = ",".join(["max_op{}".format(i) for i in range(1, nop+1)])
file_name_1 = outdir + "/submit.sub"
f1 = open(file_name_1, 'w')
f1.write('Universe = vanilla\n')
f1.write('Executable = submit.sh\n')
f1.write('arguments = $(dir) {} {} {} {}\n'.format(npoints, ops_str, min_str, max_str))
f1.write('output = $(dir)/submit.out\n')
f1.write('error = $(dir)/submit.err\n')
f1.write('log = $(dir)/submit.log\n')
f1.write('queue dir,{},{},{} from list.txt\n'.format(ops_str_var, min_str_var, max_str_var))
f1.write('+JobFlavour = "espresso"\n')
f1.close()
#convert to executable
st = os.stat(file_name_1)
os.chmod(file_name_1, st.st_mode | stat.S_IEXEC)
if __name__ == "__main__":
if len(sys.argv) < 4: sys.exit("[ERROR] Provide folder path, prefix, process name, [npoints = 20000], [models = EFTNeg], [flavour = microcentury], [floatOtherPOI = 0], [ pois = Default ] after running mkDatacards.py ...")
outputFolder = os.getcwd() + "/" + sys.argv[1]
subf = glob(os.getcwd() + "/" + sys.argv[1] + "/*/")
prefix = sys.argv[2]
process = sys.argv[3]
npoints = 20000
model = "EFTNeg"
flavour = "espresso"
floatOtherPOI = 0
pois = None
if len(sys.argv) > 4:
npoints = sys.argv[4]
if len(sys.argv) > 5:
models = sys.argv[5].split(",")
if len(sys.argv) > 6:
flavour = sys.argv[6]
if len(sys.argv) > 7:
floatOtherPOI = sys.argv[7]
if len(sys.argv) > 8:
pois = sys.argv[8].split(",")
all_sub_paths = []
#deduce number of ops
subfolder = subf[0].split("/")[-2]
prc = subfolder.split(prefix + "_")[-1]
op_ = prc.split(process + "_")[-1]
ops = op_.split("_")
nop = len(ops)
# make submit files
makeSubmit(outputFolder, npoints, nop)
l = open(outputFolder + "/list.txt", 'w')
print(". . . @ @ @ Retrieving folders @ @ @ . . .")
for s in subf:
subfolder = s.split("/")[-2]
prc = subfolder.split(prefix + "_")[-1]
op_ = prc.split(process + "_")[-1]
ops = op_.split("_")
vars_ = glob(s[:-1] + "/" + model + "/datacards/" + prc + "/*/")
for var_ in vars_:
write = ""
write += str(var_)
op_str = " ".join(ops)
min_str = " ".join([str(opr[op][0]) for op in ops])
max_str = " ".join([str(opr[op][1]) for op in ops])
l.write('{} {} {} {}\n'.format(var_[:-1], op_str, min_str, max_str))
l.close()
print(". . . @ @ @ Done @ @ @ . . .")