print "err!"
pass
sub_total = open("sub_total.jobb", "w")
#copy MC datasets file here so it can be used
os.system("cp ../MCDatasets/map_MCdatasets_xs.py .")
fileDatasetMap = {}
#retrieve MC datasets, query DAS, and make a list of input files
if opts.proxyPath != "noproxy":
fileList = open('list_cff.py', 'w')
fileList.write("inputFileNames=[\n")
from map_MCdatasets_xs import datasetCrossSectionMap
for dataset in datasetCrossSectionMap.keys():
das_command = runCommand('dasgoclient --query="file dataset=%s"' %
dataset)
stdout, stderr = das_command.communicate()
for line in stdout.splitlines():
fileList.write("'" + line + "',\n")
fileDatasetMap[line] = dataset
fileList.write("]\n")
fileList.close()
else:
from list_cff import inputFileNames
for ffile in inputFileNames:
fileDatasetMap[ffile] = hardCodedDataset
print fileDatasetMap
n_events += int(row[1])
LS_length = 23.31 #seconds
scaleFactor = 0
subDir = "argh"
xs = 0
if opts.dataMC == "data":
if nLS != 0:
scaleFactor = opts.lumiTarget / opts.lumiIn * opts.hltPS / (nLS *
LS_length)
subDir = "Data"
else:
subDir = "MC/"
from map_MCdatasets_xs import datasetCrossSectionMap
dataset = ""
for datasetKey in datasetCrossSectionMap.keys():
dataset = datasetKey
if dataset == opts.dataMC:
xs = datasetCrossSectionMap[datasetKey]
subDir += dataset.replace("/", "_")
break
dataset = dataset.lstrip("/")
dataset = dataset.replace("/", "_")
if dataset == opts.dataMC:
xs = datasetCrossSectionMap[datasetKey]
subDir += dataset
break
#0.01 = converting from picobarns to 10^-34 cm^2
if n_events != 0: scaleFactor = opts.lumiTarget * (xs * 0.01) / n_events
print '\n\n\n'