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import pandas as pd
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-l","--logicid", help="Logicid mapping", default="params_EBEE_logicid.csv")
parser.add_argument("-i","--inputfile", type=str, help="Input file", required=True)
parser.add_argument("-o","--outputfile", type=str, help="Output file", required=True)
args = parser.parse_args()
gmap = pd.read_csv(args.logicid, sep=",")
final_map = {}
for lid in gmap.stripid:
final_map[lid] = 0
with open(args.inputfile) as lm:
for l in lm.readlines():
if l.startswith("#") or len(l)==0 : continue
n = l.strip().split(" ")
# Now apply the rules
if n[0] == "ALL":
# set all the strips to the value
for k in final_map.keys():
final_map[k] = n[1]
if n[0] == "SUBDET":
if n[1] == "EB":
for strip in gmap[(gmap.FED >= 610)&(gmap.FED <=645)].stripid:
final_map[strip] = n[2]
if n[1] == "EE":
for strip in gmap[(gmap.FED < 610)&(gmap.FED >645)].stripid:
final_map[strip] = n[2]
if n[1] == "EE-":
for strip in gmap[gmap.FED < 610].stripid:
final_map[strip] = n[2]
if n[1] == "EE+":
for strip in gmap[gmap.FED > 645].stripid:
final_map[strip] = n[2]
if n[0] == "FED":
# set all the strips with the FED to value
for strip in gmap[gmap.FED == int(n[1])].stripid:
final_map[strip] = n[2]
if n[0] == "TT":
# all strips of the same TT(EB) or CCU(EE) for all the FEDs
for strip in gmap[gmap.TT == int(n[1])].stripid:
final_map[strip] = n[2]
if n[0] == "FEDTT":
# all strips of the same TT(EB) or CCU(EE) for a specific FEDs
for strip in gmap[(gmap.FED == int(n[1])) & (gmap.TT == int(n[2]))].stripid:
final_map[strip] = n[3]
if n[0] == "STRIP":
final_map[int(n[1])] = n[2]
# Write the final IDMap file
with open(args.outputfile, "w") as of:
for k,v in final_map.items():
of.write("{} {}\n".format(k,v))
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