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import logging.config
import logging
import pydoc
import os
import loop_me_comparator
import me_comparator
import unittest
import re
from madgraph import MG5DIR
from madgraph import MadGraph5Error
from madgraph.iolibs.files import cp
#Look for MG5/MG4 path
_mg5_path = os.sep.join(os.path.realpath(__file__).split(os.sep)[:-3])
_file_path = os.path.dirname(os.path.realpath(__file__))
_pickle_path = os.path.join(_file_path, 'input_files', 'ML_parallel_saved_runs')
# The processes below are treated all together because they are relatively quick
ML4_processes_short = [('u u~ > d d~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('d g > d g',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('g g > d d~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('e+ e- > d d~',{'QED':2,'QCD':0},['QCD'],{'QCD':2,'QED':4}),
('g g > t t~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('d~ d > g a',{'QED':1,'QCD':1},['QCD'],{'QCD':4,'QED':2}),
('d~ d > g z',{'QED':1,'QCD':1},['QCD'],{'QCD':4,'QED':2})]
ML5_processes_short = [('u u~ > d d~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('d g > d g',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('d~ u~ > d~ u~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('g u~ > g u~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('g g > d d~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('g g > t t~',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('g g > g g',{'QCD':2,'QED':0},['QCD'],{'QCD':6,'QED':0}),
('d~ d > g a',{'QED':1,'QCD':1},['QCD'],{'QCD':4,'QED':2}),
('u~ u > g z',{'QED':1,'QCD':1},['QCD'],{'QCD':4,'QED':2}),
('e+ e- > d d~',{'QED':2,'QCD':0},['QCD'],{'QCD':2,'QED':4}),
('d u~ > w- g',{'QED':1,'QCD':1},['QCD'],{'QCD':4,'QED':2})]
def procToFolderName(proc):
""" Transform a string proc like 'u u~ > e+ e-' to a string for a folder name
which would be uux_epem"""
res=''.join(proc.split(' '))
equiv_strings = [('+','p'),('-','m'),('~','x'),('>','_')]
for eq in equiv_strings:
res=res.replace(eq[0],eq[1])
return res
# The longer processes below are treated one by one so that they can be better
# independently checked/updated (especially the corresponding reference pickle.)
ML4_processes_long = [
# The process below is for testing the parallel tests only
('e+ e- > d d~',{'QCD':0,'QED':2},['QCD'],{'QCD':2,'QED':4}),
# Below are the processes really tested
('g g > h t t~',{'QCD':2,'QED':2},['QCD'],{'QCD':6,'QED':4}),
('d d~ > w+ w- g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4}),
('d~ d > z z g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4}),
('d~ d > z g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('d~ d > a g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('g g > z t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('g g > a t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})]
ML4_processes_long_dic = dict((procToFolderName(elem[0]),elem) for elem in \
ML4_processes_long)
ML5_processes_long = [('g g > h t t~',{'QCD':2,'QED':1},['QCD'],{'QCD':6,'QED':2}),
('d d~ > w+ w- g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4}),
('d~ d > z z g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4}),
('s s~ > a z g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4}),
('d~ d > z g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('d~ d > a g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('d~ u > w+ g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('g g > w- d~ u',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('g g > z t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('g g > a t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2}),
('g g > h h t t~',{'QCD':2,'QED':2},['QCD'],{'QCD':6,'QED':4}),
('u u~ > w+ w- b b~',{'QCD':2,'QED':2},['QCD'],{'QCD':6,'QED':4}),
('g g > g g g',{'QCD':3,'QED':0},['QCD'],{'QCD':8,'QED':0}),
('u u~ > z z z',{'QED':3,'QCD':0},['QCD'],{'QCD':2,'QED':6}),
('u d~ > h t b~',{'QED':3,'QCD':0},['QCD'],{'QCD':2,'QED':6}),
('u u~ > w+ w- z',{'QED':3,'QCD':0},['QCD'],{'QCD':2,'QED':6}),
('g g > g t t~',{'QED':0,'QCD':3},['QCD'],{'QCD':8,'QED':0}),
('g s > e- ve~ c',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4}),
('g g > z c c~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})]
ML5_processes_long_dic = dict((procToFolderName(elem[0]),elem) for elem in \
ML5_processes_long)
class ML5Test(unittest.TestCase):
""" A class to test ML5 versus runs from older versions or ML4 """
test_model_name = 'loop_sm-parallel_test'
test_model_name_c_massive = 'loop_sm-parallel_test_c_massive'
def setUp(self):
""" Here we just copy the hidden restrict_card to a regular one.
And we don't bother making it hidden again after the test."""
cp(os.path.join(_mg5_path,'models','loop_sm','.restrict_parallel_test.dat'),
os.path.join(_mg5_path,'models','loop_sm','restrict_parallel_test.dat'))
cp(os.path.join(_mg5_path,'models','loop_sm',
'.restrict_parallel_test_c_massive.dat'),
os.path.join(_mg5_path,'models','loop_sm',
'restrict_parallel_test_c_massive.dat'))
@staticmethod
def create_pickle(my_proc_list, pickle_file, runner, ref_runner=None,
model = 'loop_sm-parallel_test', energy = 2000):
""" Create a pickle with name 'pickle_file' on the specified processes
and also possibly using the PS points provided by the reference runner """
my_comp = loop_me_comparator.LoopMEComparator()
if not ref_runner is None:
my_comp.set_me_runners(ref_runner,runner)
else:
my_comp.set_me_runners(runner)
my_comp.run_comparison(my_proc_list,model=model,energy=energy)
loop_me_comparator.LoopPickleRunner.store_comparison(
os.path.join(_pickle_path,pickle_file),
[runner.proc_list,runner.res_list],
runner.model,runner.name,energy=runner.energy)
def compare_processes(self, my_proc_list = [], model = 'loop_sm-parallel_test',
pickle_file = "", energy = 2000, tolerance = 3e-06, filename = "",
chosen_runner = "ML5_opt"):
""" A helper function to compare processes.
Note that the chosen_runner is what runner should to create the reference
pickle if missing"""
# Print out progress if it is a run for an individual process
if len(my_proc_list)==1:
print "\n== %s =="%my_proc_list[0][0]
else:
print "\n== %s =="%filename
# Check if pickle exists, if not create it
if pickle_file!="" and not os.path.isfile(os.path.join(_pickle_path,pickle_file)):
print " => Computing reference evaluation with %s"%chosen_runner
self.create_loop_pickle(my_proc_list, model,
pickle_file, energy, chosen_runner)
print "\n => Done with %s evaluation"%chosen_runner
# Load the stored runner
if pickle_file != "":
stored_runner = me_comparator.PickleRunner.find_comparisons(
os.path.join(_pickle_path,pickle_file))[0]
# Create a MERunner object for MadLoop 5 optimized
ML5_opt = loop_me_comparator.LoopMG5Runner()
ML5_opt.setup(_mg5_path, optimized_output=True, temp_dir=filename)
file = open(os.path.join(_mg5_path,'Template','loop_material','StandAlone',
'Cards','MadLoopParams.dat'), 'r')
MLParams = file.read()
MLred = re.search(r'#MLReductionLib\n',MLParams)
MLredstr=MLParams[MLred.end():MLred.end()+1]
if MLredstr=="1":
# Create a MERunner object for MadLoop 5 default
ML5_default = loop_me_comparator.LoopMG5Runner()
ML5_default.setup(_mg5_path, optimized_output=False, temp_dir=filename)
# Create and setup a comparator
my_comp = loop_me_comparator.LoopMEComparator()
# Always put the saved run first if you use it, so that the corresponding PS
# points will be used.
if MLredstr=="1":
# CutTools
if pickle_file != "":
my_comp.set_me_runners(stored_runner,ML5_opt,ML5_default)
else:
my_comp.set_me_runners(ML5_opt,ML5_default)
else:
# TIR
if pickle_file != "":
my_comp.set_me_runners(stored_runner,ML5_opt)
else:
raise MadGraph5Error,"CANNOT find the stored result with TIR"
# Run the actual comparison
my_comp.run_comparison(my_proc_list,
model=model,
energy=energy)
# Print the output
my_comp.output_result(filename=os.path.join(_mg5_path,filename+'.log'))
# Assert that all process comparisons passed the tolerance cut
my_comp.assert_processes(self, tolerance)
# Do some cleanup
my_comp.cleanup()
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()
#===========================================================================
# First tests consisting in a list of quick 2>2 processes to be run together
#===========================================================================
def test_short_ML5_sm_vs_stored_ML5(self):
self.compare_processes(ML5_processes_short,model = self.test_model_name,
pickle_file = 'ml5_short_parallel_tests.pkl',
filename = 'ptest_short_ml5_vs_old_ml5',
chosen_runner='ML5')
# In principle since previous version of ML5 has been validated against ML4,
# it is not necessary to test both against ML4 and the old ML5.
def test_short_ML5_sm_vs_stored_ML4(self):
self.compare_processes(ML4_processes_short,model = self.test_model_name,
pickle_file = 'ml4_short_parallel_test.pkl',
filename = 'ptest_short_ml5_vs_ml4',
chosen_runner='ML4')
# The tests below probe one quite long process at a time individually, so
# one can better manage them.
#===========================================================================
# First the long checks against results available in MadLoop4
#===========================================================================
# Use the quick process below for testing the parallel test
def notest_long_sm_vs_stored_ML4_epem_ddx(self):
proc = 'epem_ddx'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc, chosen_runner = 'ML4')
# ('g g > h t t~',{'QCD':2,'QED':1},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML4_gg_httx(self):
proc = 'gg_httx'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc, chosen_runner = 'ML4')
# ('d d~ > w+ w- g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4})
def test_long_sm_vs_stored_ML4_ddx_wpwmg(self):
proc = 'ddx_wpwmg'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc)
# ('d~ d > z z g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4})
def test_long_sm_vs_stored_ML4_dxd_zzg(self):
proc = 'dxd_zzg'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc, chosen_runner = 'ML4')
# ('d~ d > z g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML4_dxd_zgg(self):
proc = 'dxd_zgg'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc, chosen_runner = 'ML4')
# ('d~ d > a g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML4_dxd_agg(self):
proc = 'dxd_agg'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc, chosen_runner = 'ML4')
# ('g g > z t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML4_gg_zttx(self):
proc = 'gg_zttx'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc, chosen_runner = 'ML4')
# ('g g > a t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML4_gg_attx(self):
proc = 'gg_zttx'
self.compare_processes([ML4_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml4_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_ml4_%s'%proc, chosen_runner = 'ML4')
#===========================================================================
# Now the long checks against results previsouly generated in MadLoop 5.
#===========================================================================
# ('g g > g t t~ ',{'QED':0,'QCD':3},['QCD'],{'QCD':8,'QED':0})
def test_long_sm_vs_stored_ML5_gg_gttx(self):
proc = "gg_gttx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g g > h t t~',{'QCD':2,'QED':1},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_gg_httx(self):
proc = "gg_httx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('d d~ > w+ w- g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4})
def test_long_sm_vs_stored_ML5_ddx_wpwmg(self):
proc = "ddx_wpwmg"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('d~ d > z z g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4})
def test_long_sm_vs_stored_ML5_dxd_zzg(self):
proc = "dxd_zzg"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('s s~ > a z g',{'QED':2,'QCD':1},['QCD'],{'QCD':4,'QED':4})
def test_long_sm_vs_stored_ML5_ssx_azg(self):
proc = "ssx_azg"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('d~ d > z g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_dxd_zgg(self):
proc = "dxd_zgg"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('d~ d > a g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_dxd_agg(self):
proc = "dxd_agg"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('d~ u > w+ g g',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_dxu_wpgg(self):
proc = "dxu_wpgg"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g g > w- d~ u',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_gg_wmdxu(self):
proc = "gg_wmdxu"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g g > z t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_gg_zttx(self):
proc = "gg_zttx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g g > a t t~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_gg_attx(self):
proc = "gg_attx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g g > h h t t~',{'QCD':2,'QED':2},['QCD'],{'QCD':6,'QED':4})
def test_long_sm_vs_stored_ML5_gg_hhttx(self):
proc = "gg_hhttx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('u u~ > w+ w- b b~',{'QCD':2,'QED':2},['QCD'],{'QCD':6,'QED':4})
def test_long_sm_vs_stored_ML5_uux_wpwmbbx(self):
proc = "uux_wpwmbbx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g g > g g g',{'QCD':3,'QED':0},['QCD'],{'QCD':8,'QED':0})
# The chosen PS point for this process turns out to be unstable, so that
# MadLoop goes to quadruple precision. The agreement is then fine (10e-14!)
# but it takes several hours for the non-optimized evaluation. So better skip
# it unless you explicitly want to try out quad prec behaviors.
def notest_long_sm_vs_stored_ML5_gg_ggg(self):
proc = "gg_ggg"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('u u~ > z z z',{'QED':3,'QCD':0},['QCD'],{'QCD':2,'QED':6})
def test_long_sm_vs_stored_ML5_uux_zzz(self):
proc = "uux_zzz"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('u d~ > h t b~',{'QED':3,'QCD':0},['QCD'],{'QCD':2,'QED':6}),
def test_long_sm_vs_stored_ML5_udx_htbx(self):
proc = "udx_htbx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('u u~ > w+ w- z',{'QED':3,'QCD':0},['QCD'],{'QCD':2,'QED':6})
def test_long_sm_vs_stored_ML5_uux_wpwmz(self):
proc = "uux_wpwmz"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name, pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g s > e- ve~ c',{'QED':2,'QCD':1},['QCD'],{'QCD':3,'QED':2})
def test_long_sm_vs_stored_ML5_gs_emvexc(self):
proc = "gs_emvexc"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name_c_massive,
pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
# ('g g > z c c~',{'QED':1,'QCD':2},['QCD'],{'QCD':6,'QED':2})
def test_long_sm_vs_stored_ML5_gg_zccx(self):
proc = "gg_zccx"
self.compare_processes([ML5_processes_long_dic[proc]],
model = self.test_model_name_c_massive,
pickle_file = 'ml5_sm_%s.pkl'%proc,
filename = 'ptest_long_sm_vs_old_ml5_%s'%proc,
chosen_runner = 'ML5_opt')
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