in_files = ["file:{0}/{1}".format(options.inDir, f) for f in options.inFile]
else:
in_files = ["file:{0}".format(f) for f in options.inFile]
#### Auto:
out_file = ""
nevents = options.maxEvents
if options.dataset:
in_files = []
result = dataset.get_datasets(name=options.dataset, generation=options.generation, set_info=True)
if result:
if len(result) == 1: # Only one process
dss = result.values()[0]
if len(dss) == 1: # Only one subprocess (there should be only one corresponding to each dataset name).
ds = dss[0]
if options.sigma < 0:
options.sigma = ds.sigma
if nevents > 0: # If maxEvents is -1, run over everything
factor = ds.jets_n/nevents
else:
factor = 1
options.weight = ds.weight*factor
print "Sigma = {0}".format(options.sigma)
# in_files.extend(["file:{0}".format(f) for f in ds.jets_path])
# in_files.extend(["root://cmsxrootd.fnal.gov/{0}".format(f) for f in ds.jets_path])
in_files.extend(["root://cmseos.fnal.gov/{0}".format(f) for f in ds.jets_path])
# print in_files
out_file = "{0}_tuple.root".format(options.dataset)
else:
print "ERROR: There were multiple datasets found for the name {}. They are listed below:\n{}".format(options.dataset, dss)
else:
print "ERROR: There were multiple processes returned for the dataset name of {}:\n{}".format(options.dataset, result)
