def mergeFunc(self,products) :
self.setupDicts()
for eLumis in products["staticEpochLumis"] :
for epoch in eLumis :
for run in eLumis[epoch] :
self.epochLumis[epoch][run] |= eLumis[epoch][run]
if not self.epochLumis : return
lumiDir = self.outputFileName
if not os.path.exists(lumiDir) : utils.mkdir(lumiDir)
lumis = luminosity.recordedInvMicrobarnsShotgun( [utils.jsonFromRunDict(self.epochLumis[epoch]) for epoch in self.epochLumis ] , cores = 4, cacheDir = lumiDir)
probs = [ [1./prescale if prescale else 0 for prescale in epoch] for epoch in self.epochLumis ]
inclu = [ [utils.unionProbability(prob[:i+1]) for i in range(len(prob))] for prob in probs ]
thresholds = sorted(set(self.thresholds))
inclusives = [ [max([0]+[p for p,t in zip(inc,self.thresholds) if t is thresh]) for thresh in thresholds] for inc in inclu ]
weights = np.array(lumis).dot(inclusives) / sum(lumis)
# write total lumi and weight by threshold
lumiHist = r.TH1D('susyTreeLumi','luminosity from susyTree;;1/pb',1,0,1)
lumiHist.SetBinContent(1,sum(lumis))
lumiHist.Write()
weightHist = r.TH1D(self.name,";%s;%s"%(self.var,self.name), len(thresholds), np.array([0.]+thresholds+[max(thresholds)+10]))
for i,w in enumerate(weights) : weightHist.SetBinContent(i+2, w)
weightHist.SetBinContent(len(thresholds)+3, 1)
weightHist.Write()
def mergeFunc(self, products) :
d = collections.defaultdict(list)
for lumisByRun in products["lumisByRun"] :
for run,lumis in lumisByRun.iteritems() :
d[run] += lumis
d2 = {}
for run,lumis in d.iteritems() :
d2[run] = sorted(set(lumis))
for ls in d2[run] :
if 1 < lumis.count(ls) :
print "Run %d ls %d appears %d times in the lumiTree."%(run,ls,lumis.count(ls))
json = utils.jsonFromRunDict(d2)
lumi = luminosity.recordedInvMicrobarns(json)/1e6 if self.calculateLumi else -1.0
with open(self.outputFileName,"w") as file: print >> file, str(json).replace("'",'"')
print "Wrote %.4f/pb json to : %s"%(lumi,self.outputFileName)
print utils.hyphens
def mergeFunc(self,products) :
self.setup(None,None)
for eLumis in products["staticEpochLumis"] :
for epoch in eLumis :
for run in eLumis[epoch] :
self.epochLumis[epoch][run] |= eLumis[epoch][run]
lumiProbs = []
with open(self.outputFileName,"w") as file :
print >> file, self.triggers
print >> file, ""
for epoch in self.epochLumis:
json = utils.jsonFromRunDict(self.epochLumis[epoch])
lumi = luminosity.recordedInvMicrobarns(json)/1e6
probs = [(thresh,1./prescale) for thresh,prescale in zip(self.thresh,epoch)[:epoch.index(1.0)+1] if prescale]
inclusive = [(probs[i][0],probs[i+1][0] if (i<len(probs)-1) else None,utils.unionProbability(zip(*probs[:i+1])[1])) for i in range(len(probs))]
lumiProbs.append((lumi,inclusive))
print >> file, epoch
print >> file, json
print >> file, lumi, " /pb"
print >> file, [(thresh,"%.4f"%w) for thresh,nextThresh,w in inclusive]
print >> file, ""
print "Wrote prescale jsons by epoch : "+self.outputFileName
lumiVal = sum(lumi for lumi,probs in lumiProbs)
lumiHist = r.TH1D("susyTreeLumi","luminosity from susyTree;;1/pb",1,0,1)
lumiHist.Fill(0.5,lumiVal)
lumiHist.Write()
ptMax = 10+max(self.thresh)
weight = r.TH1D("prescaleWeight","prescaleWeight",ptMax,0,ptMax)
for lumi,probs in lumiProbs :
epochWeight = lumi / lumiVal
for thresh,nextThresh,prob in probs:
for bin in range(thresh,nextThresh if nextThresh else ptMax) :
weight.Fill(bin, epochWeight * prob)
weight.Write()
