if options.error == None:
print _legend, 'no histogram bin error specified, using default sqrt(value)'
print _legend, 'exiting...'
_errors.append(math.sqrt(_bin_value))
else:
_errors.append(options.error)
add_hist.add_new_hist(_file_name, _hist_name, _values, _errors)
if options.rename_hists:
if len(options.in_file) > 0 and options.out_file:
for name in options.in_file:
ds.load_all_hists(name)
ds.RenameHistograms(options.rename_hists)
ds.SaveAllHists(options.out_file)
if options.hist_factory:
import hist_factory as hf
hf.run(mass=options.mass, in_file=options.in_file)
if options.toys_pvalue or options.toys:
import tprime_toys as tt
par = {}
if options.toys:
par['study'] = options.toys.strip()
pvalue = tt.RunToy(par)
print legend, 'p-value from a toy:', pvalue
if options.fit:
