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grchrist |
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#!/usr/bin/env python
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import pickle
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import getopt
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import sys
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import os
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def usage():
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print sys.argv[0]+" [options]"
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print "This script makes a pkl file from TMD rate predictions\nto be used in the RatePredictor script for new menu deployment"
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print "--TriggerList=<path>"
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grchrist |
1.2 |
print "--NColBunch=<# colliding bunches>"
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grchrist |
1.1 |
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def main():
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print "making TMD pkl fit files"
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############# fIT FILE NAME ###########
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fit_file="fits_TMD.pkl"
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#######################################
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grchrist |
1.2 |
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ncolbunch=28
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ntotbunch=1331
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bunfrac=float(ncolbunch)/float(ntotbunch)
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#######################################
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grchrist |
1.1 |
try:
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grchrist |
1.2 |
opt, args = getopt.getopt(sys.argv[1:],"",["NColBunch=","TriggerList="])
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grchrist |
1.1 |
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except getopt.GetoptError, err:
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print str(err)
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usage()
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sys.exit(2)
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trig_list=[]
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fit_list={}
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for o,a in opt:
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grchrist |
1.2 |
if o == "--NColBunch":
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ncolbunch=int(a)
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ntotbunch=1331
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bunfrac=float(ncolbunch)/float(ntotbunch)
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elif o == "--TriggerList":
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grchrist |
1.1 |
try:
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f = open(a)
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for line in f:
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if line.startswith('#'):
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continue
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if len(line)<3 or line=='\n':
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continue
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line = ((line.rstrip('\n')).rstrip(' '))
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grchrist |
1.2 |
if line.find(':')==-1:
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grchrist |
1.1 |
list.append( line )
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grchrist |
1.2 |
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grchrist |
1.1 |
else:
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split = line.split(':')
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##trig_list.append([split[0],split[1],split[2],split[3]])
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trig_list.append(split[0])
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grchrist |
1.2 |
fit_list[split[0]]=[float(split[1])*bunfrac,float(split[2])*bunfrac,float(split[3])*bunfrac]
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grchrist |
1.1 |
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## if entry.find(':')!=-1:
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## entry = entry[:entry.find(':')] ## We can point this to the existing monitor list, just remove everything after ':'!
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## if entry.find('#')!=-1:
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## entry = entry[:entry.find('#')] ## We can point this to the existing monitor list, just remove everything after ':'!
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## trig_list.append( entry.rstrip('\n'))
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except:
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print "\nInvalid Trigger List\n"
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sys.exit(0)
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else:
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print "\nInvalid Option %s\n" % (str(o),)
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usage()
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sys.exit(2)
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OutputFit={}
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for keys in fit_list.iterkeys():
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##change format to that produced in rate predictor
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fit_list_fortrig=fit_list[keys]
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fit_list_fortrig.insert(0,"poly")#fit name
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fit_list_fortrig.append(0.0)#cubic term
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fit_list_fortrig.append(10.0)#chisq/ndf
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fit_list_fortrig.append(0.0)#meanrawrate
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fit_list_fortrig.append(0.0)#0.err
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fit_list_fortrig.append(0.0)#1.err
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fit_list_fortrig.append(0.0)#2.err
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fit_list_fortrig.append(0.0)#3.err
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OutputFit[keys]=fit_list_fortrig
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##print "trig=",keys, "fit pars=",fit_list_fortrig
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if os.path.exists(fit_file):
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os.remove(fit_file)
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FitOutputFile = open(fit_file, 'wb')
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pickle.dump(OutputFit, FitOutputFile, 2)
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FitOutputFile.close()
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print "Output fit file is "+str(fit_file)
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if __name__=='__main__':
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main()
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