def main(opts):
ROOT.gROOT.SetBatch(True)
crossSections = {}
for o in opts.xsections:
(name, value) = o.split(":")
crossSections[name] = float(value)
style = tdrstyle.TDRStyle()
datasets = []
if len(opts.files) > 0:
for f in opts.files:
datasets.append(counter.readDataset(f, opts.counterdir, f, crossSections))
else:
readDatasetDirs(opts, crossSections, datasets)
if len(datasets) == 0:
return
if len(opts.list) > 0:
printList(datasets[0], opts.list)
for plot in opts.plots:
drawSavePlot(opts, datasets, plot)
return 0
def main(opts):
ROOT.gROOT.SetBatch(True)
crossSections = {}
for o in opts.xsections:
(name, value) = o.split(":")
crossSections[name] = float(value)
style = tdrstyle.TDRStyle()
datasets = []
if len(opts.files) > 0:
for f in opts.files:
datasets.append(
counter.readDataset(f, opts.counterdir, f, crossSections))
else:
readDatasetDirs(opts, crossSections, datasets)
if len(datasets) == 0:
return
if len(opts.list) > 0:
printList(datasets[0], opts.list)
for plot in opts.plots:
drawSavePlot(opts, datasets, plot)
return 0
def readDatasetDirs(opts, crossSections, datasets):
taskdirs = multicrab.getTaskDirectories(opts)
for d in taskdirs:
files = glob.glob(os.path.join(d, "res", opts.input))
if len(files) > 1:
raise Exception("Only one file should match the input (%d matched) for task %s" % (len(files), d))
return 1
elif len(files) == 0:
raise Exception("No files matched to input for task %s" % d)
datasets.append(counter.readDataset(files[0], opts.counterdir, d, crossSections))
def readDatasetDirs(opts, crossSections, datasets):
taskdirs = multicrab.getTaskDirectories(opts)
for d in taskdirs:
files = glob.glob(os.path.join(d, "res", opts.input))
if len(files) > 1:
raise Exception(
"Only one file should match the input (%d matched) for task %s"
% (len(files), d))
return 1
elif len(files) == 0:
raise Exception("No files matched to input for task %s" % d)
datasets.append(
counter.readDataset(files[0], opts.counterdir, d, crossSections))
