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import getopt |
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import sys |
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import os |
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from DatabaseParser import StripVersion |
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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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print "--NColBunch=<# colliding bunches>" |
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print "--NColBunches=<# colliding bunches>" |
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print "--NoVersion Exclude version number" |
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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_ncolbunch%s.pkl" |
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####################################### |
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####################################### |
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try: |
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opt, args = getopt.getopt(sys.argv[1:],"",["NColBunch=","TriggerList="]) |
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opt, args = getopt.getopt(sys.argv[1:],"",["NColBunches=","NoVersion","TriggerList="]) |
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except getopt.GetoptError, err: |
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print str(err) |
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trig_list=[] |
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fit_list={} |
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NoVersion=False |
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for o,a in opt: |
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if o == "--NColBunch": |
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if o == "--NColBunches": |
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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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elif o == "--NoVersion": |
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NoVersion=True |
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for o,a in opt: |
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if o == "--TriggerList": |
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try: |
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f = open(a) |
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for line in f: |
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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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fit_list[split[0]]=[float(split[1])*bunfrac,float(split[2])*bunfrac,float(split[3])*bunfrac] |
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if not NoVersion: |
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trig_list.append(split[0]) |
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fit_list[split[0]]=[0.,float(split[1])/5000.,float(split[2])] |
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|
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else: |
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trig_list.append(StripVersion(split[0])) |
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fit_list[StripVersion(split[0])]=[0.,float(split[1])/5000.,float(split[2])] |
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## if entry.find(':')!=-1: |
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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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elif o == "--NColBunches": |
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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 == "--NoVersion": |
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NoVersion=True |
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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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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.insert(3,0.0) |
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fit_list_fortrig.insert(4,0.0)#cubic term |
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fit_list_fortrig.insert(5,10.0)#chisq/ndf |
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fit_list_fortrig.insert(6,0.0)#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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> |
print "trig=",keys, "fit pars=",fit_list_fortrig |
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> |
|
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> |
############# fIT FILE NAME ########### |
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if not NoVersion: |
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fit_file="fits_TMD_ncolbunch%s.pkl" |
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else: |
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fit_file="fits_TMD_ncolbunch%s_noV.pkl" |
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fit_file = fit_file % (ncolbunch) |
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if os.path.exists(fit_file): |
