def create_loop_pickle(self, my_proc_list, model, pickle_file, energy, \
chosen_runner):
""" Create the pickle file for reference for the arguments here."""
# print "Creating loop pickle for chosen_runner=",chosen_runner
allowed_chosen_runners = ['ML4', 'ML5_opt', 'ML5_default']
if chosen_runner not in allowed_chosen_runners:
raise MadGraph5Error, 'The reference runner can only be in %s.'%\
allowed_chosen_runners
runner = None
if chosen_runner == 'ML5_opt':
runner = loop_me_comparator.LoopMG5Runner()
runner.setup(_mg5_path, optimized_output=True)
if chosen_runner == 'ML5_default':
runner = loop_me_comparator.LoopMG5Runner()
runner.setup(_mg5_path, optimized_output=False)
if chosen_runner == 'ML4':
runner = loop_me_comparator.LoopMG4Runner()
# Replace here the path of your ML4 installation
runner.setup(
'/Users/valentin/Documents/Work/aMC@NLO_v4/ML4ParrallelTest/NLOComp'
)
self.create_pickle(my_proc_list,pickle_file, runner, ref_runner=None, \
model=model,energy=energy)
# Clean up the runner only if it is not ML4
if chosen_runner != 'ML4':
runner.cleanup()
#my_proc_list = me_comparator.create_proc_list(['u', 'u~','d','d~','g'],
# initial=2, final=2)
#my_proc_list = me_comparator.create_proc_list_enhanced(
# fermion, fermion, boson,
# initial=2, final_1=2, final_2 = 1)
# Set the model we are working with
#model = 'loop_sm-no_widths'
model = 'loop_sm-parallel_test'
# Load a saved run
#SavedRun = me_comparator.PickleRunner.find_comparisons(
# os.path.join(pickle_path,'ml5_parallel_test.pkl'))[0]
# Create a MERunner object for MadLoop 4
ML4 = loop_me_comparator.LoopMG4Runner()
ML4.setup('/Users/Spooner/Documents/PhD/MadFKS/ML4ParrallelTest/NLOComp')
# Create a MERunner object for GoSam
# GoSam = loop_me_comparator.GoSamRunner()
# GoSam.setup('/Users/valentin/Documents/HEP_softs/GoSam/gosam-2.0.beta')
# Create a MERunner object for MadLoop 5 optimized
ML5_opt = loop_me_comparator.LoopMG5Runner()
ML5_opt.setup(mg5_path, optimized_output=True)
# Create a MERunner object for MadLoop 5 default
ML5_default = loop_me_comparator.LoopMG5Runner()
ML5_default.setup(mg5_path, optimized_output=False)
# Create a MERunner object for UFO-ALOHA-MG5