def create_output(self):
value = self.MWparam.startevent
self.MWparam.startevent = 0
self.MWparam.norm_with_cross = 1
option = [' ', '-8'] #prepare the option
self.MWparam.set_run_opt(option)
madweight.Launch_all_SubProcess(self.MWparam) # launch the refine
self.MWparam.norm_with_cross = 1
plot.Likelihood(mw_param=self.MWparam,
auto=1) # create the updated output file
self.MWparam.startevent = value
os.chdir('./Source/MadWeight/transfer_function')
change_tf.create_TF_main(name, 0, MW_dir)
print(os.getcwd())
os.chdir('../../..')
break
if MWparam.run_opt['param']:
create_param.Param_card(run_name=MWparam)
MWparam.update_nb_card()
Cards.create_include_file(MWparam)
update_cuts_status(MWparam)
if MWparam.run_opt['analyzer']:
write_MadWeight.create_all_fortran_code(MWparam)
if MWparam.run_opt['madweight_main']:
Launch_all_SubProcess(MWparam)
if MWparam.run_opt['plot']:
import plot
plot.Likelihood(mw_param=MWparam, auto=1)
if MWparam['mw_run']['histo']:
plot.Differential_Graph(MWparam, auto=1)
if MWparam.run_opt['clean']:
print('cleaning in progress ....')
from clean import Clean_run
if MWparam.run_opt['clean'] == 1:
Clean_run(MWparam.name)
else:
Clean_run(MWparam.run_opt['clean'])