def go():
directory = "/afs/cern.ch/user/e/elaird/work/public/d1_utca/"
uscFiles = rootFiles(directory, mode="usc")
if options.onlysummary:
castorFiles = []
else:
castorFiles = rootFiles(directory, mode="castor")
labels = []
for run in sorted(uscFiles.keys()):
if any([options.min and run < int(options.min),
options.max and run > int(options.max),
options.run and run != int(options.run),
#(not options.onlyutca) and (run not in castorFiles),
]):
continue
label = "Run%d" % run
labels.append(label)
if options.onlysummary:
continue
if options.onlyutca:
cmsFileName = ""
else:
#cmsFileName = castorFiles[run]
cmsFileName = eosFile(run)
analyze.oneRun(utcaFileName="" if options.onlycms else uscFiles[run],
cmsFileName=cmsFileName,
label=label, useEvn=False,
filterEvn=options.filterevn, ornTolerance=1)
if options.onlysummary and options.run:
labels = ["Run"+options.run]
graphs.makeSummaryPdf(labels)
def plot(prefix, roots, feds1s, feds2s):
graphs.makeSummaryPdfMulti(inputFiles=roots, feds1s=feds1s, feds2s=feds2s, pdf="output/%s.pdf" % prefix)
if not any(feds2s):
outputFile = "output/%s.root" % prefix
cmd = " ".join(["hadd -f", outputFile] + roots)
os.system(cmd)
graphs.makeSummaryPdf(
inputFile=outputFile, feds1=sorted(sum(feds1s, [])), pdf=outputFile.replace(".root", "_merged.pdf")
)
def plot(prefix, roots, feds1s, feds2s):
graphs.makeSummaryPdfMulti(inputFiles=roots,
feds1s=feds1s,
feds2s=feds2s,
pdf="output/%s.pdf" % prefix)
if not any(feds2s):
outputFile = "output/%s.root" % prefix
cmd = " ".join(["hadd -f", outputFile] + roots)
os.system(cmd)
graphs.makeSummaryPdf(inputFile=outputFile,
feds1=sorted(sum(feds1s, [])),
pdf=outputFile.replace(".root", "_merged.pdf"))
uhtr=True,
printEventMap=False,
nEvents=nEvents,
)
if run <= 200000: # including None
if options.file:
fileName = options.file
else:
fileName = baseDir + "/904/B904_Integration_%06d.root" % run
analyze.oneRun(
utcaFileName=fileName if not options.patterns else "",
utcaFedIds=[931],
cmsFileName=fileName,
cmsFedIds=[702],
cmsIsLocal=True,
cmsPatternMode=options.patterns,
label=label,
useEvn=False,
filterEvn=False,
ornTolerance=1,
uhtr=True,
printEventMap=False,
nEvents=nEvents,
)
if not options.patterns:
import graphs
analyze.printHisto(label)
graphs.makeSummaryPdf(labels=[label])
