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import sys
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import csv
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import array
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import math
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from colors import *
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write = sys.stdout.write
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def PrettyPrintTable(Headers,Data,ColWidths,WarningCol=[],border='*'):
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PrintHLine(ColWidths,border)
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PrintLine(Headers,ColWidths,False,border)
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PrintHLine(ColWidths,border)
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if WarningCol==[]:
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WarningCol=[False]*len(Data)
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for [line,Warn] in zip(Data,WarningCol):
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PrintLine(line,ColWidths,Warn,border)
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PrintHLine(ColWidths,border)
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def PrintHLine(ColWidths,border): ## writes a horizontal line of the right width
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#write = sys.stdout.write
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for entry in ColWidths:
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write(border)
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for i in range(entry):
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write(border)
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write(border)
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write('\n')
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def PrintLine(line,ColWidths,Warn,border):
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assert Warn in [True,False]
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try:
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assert len(line)==len(ColWidths)
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except:
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print line
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print ColWidths
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raise
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if Warn:
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write(bcolors.FAIL)
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else:
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write(bcolors.OKGREEN)
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if "Trigger" in str(line[0]):
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write(bcolors.ENDC)
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for [width, entry] in zip(ColWidths,line):
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write(border)
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try:
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entry = str(entry)
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except:
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print "\n\n\n Weird Data .. Bailing out\n\n"
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sys.exit(0)
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for i in range(width):
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if i==0:
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write(' ')
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elif i<len(entry)+1:
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write(entry[i-1])
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else:
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write(' ')
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write(border)
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write('\n')
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write(bcolors.ENDC)
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#################################################
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#one method of determining rate differences
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def priot(wp_bool,print_trigger,meanps,f1,f2,fit_type,av):
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if wp_bool:
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global w2
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lumi=8000
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x0 = f1.GetParameter(0)
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x1 = f1.GetParameter(1)
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linear = x0 + x1*lumi
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if fit_type == "line":
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z0 = f2.GetParameter(0)
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z1 = f2.GetParameter(1)
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z2 = 0
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z3 = 0
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fit = z0 + z1*lumi
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elif fit_type == "quad":
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z0 = f2.GetParameter(0)
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z1 = f2.GetParameter(1)
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z2 = f2.GetParameter(2)
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z3 = 0
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fit = z0 + z1*lumi +z2*lumi*lumi
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elif fit_type == "cubic":
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z0 = f2.GetParameter(0)
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z1 = f2.GetParameter(1)
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z2 = f2.GetParameter(2)
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z3 = f2.GetParameter(3)
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fit = z0 + z1*lumi +z2*lumi*lumi +z3*lumi*lumi*lumi
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elif fit_type == "expo":
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z0 = f2.GetParameter(0)
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z1 = f2.GetParameter(1)
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z2 = f2.GetParameter(2)
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z3 = f2.GetParameter(3)
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fit = z0 + z1*math.exp(z2+z3*lumi)
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diff = fit - linear
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psdiff = diff/meanps
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linearChiSqNDOF = f1.GetChisquare()/f1.GetNDF()
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fitChiSqNDOF = f2.GetChisquare()/f2.GetNDF()
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metric = diff/linear
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# metric = diff/av
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if priot.has_been_called==False:
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f2 = open('nonlinear.csv',"wb")
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w2 = csv.writer(f2)
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w2.writerow(["Trigger","diff@"+str(lumi),"diff (prescaled)","ps","fit type","linear ChiSq/ndof","fit ChiSq/ndof","average rate","metric","x0","x1","z0","z1","z2","z3"])
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w2.writerow([str(print_trigger),diff,psdiff,meanps,fit_type,linearChiSqNDOF,fitChiSqNDOF,av,metric,x0,x1,z0,z1,z2,z3])
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elif priot.has_been_called==True:
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w2.writerow([str(print_trigger),diff,psdiff,meanps,fit_type,linearChiSqNDOF,fitChiSqNDOF,av,metric,x0,x1,z0,z1,z2,z3])
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priot.has_been_called=True
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#################################################
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def prettyCSVwriter(f_out,ColWidths,Headers,Data,WarningCol=[]):
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file = open(f_out,'wb')
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c = csv.writer(file)
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PrintCSV(c,ColWidths,Headers,False)
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if WarningCol==[]:
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WarningCol=[False]*len(Data)
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for [line,Warn] in zip(Data,WarningCol):
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PrintCSV(c,ColWidths,line,Warn)
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#################################################
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def PrintCSV(c,ColWidths,line,Warn):
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rowlist = []
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assert Warn in [True,False]
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for [width, entry] in zip(ColWidths,line):
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try:
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entry = str(entry)
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except:
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print "\n\n\n Weird Data .. Bailing out\n\n"
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sys.exit(0)
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rowlist.append(entry)
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if "Trigger" in line[0]:
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rowlist.append("Warn?")
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else:
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rowlist.append(Warn)
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c.writerow(rowlist)
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#################################################
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