split_data_set = False
#conditions_for_splitting = definitions.ttbar_processes()
#----------------------------------------------------------------------------------------------------
save_path = os.path.join(workdir_base, 'HDF5_files')
list_of_generator_level_variables = excluded_variables.generator_level_variables()
list_of_other_always_excluded_variables = excluded_variables.other_always_excluded_variables()
list_of_vector_variables_lepton = vector_variables.lepton_variables()
list_of_vector_variables_jet = vector_variables.jet_variables()
weights_to_keep = definitions.default_weight_list()
number_of_saved_jets = 6
number_of_saved_leptons = 1
percentage_validation = 20
#----------------------------------------------------------------------------------------------------
if not os.path.isdir(save_path):
if os.path.isdir(os.path.dirname(save_path)):
os.mkdir(save_path)
#----------------------------------------------------------------------------------------------------
function_call_dict = {'filename_outputfile' : filename_outputfile,
drop_events_negative_weights = True
#----------------------------------------------------------------------------------------------------
save_path = os.path.join(workdir_base, name_subdir, 'data_sets')
path_to_merged_data_set = os.path.join(workdir_base, 'HDF5_files/data_set_merged.hdf')
### Specify the MC weights that will be applied in the training.
### The weights you want to use here have to be included in the "weights_to_keep" list in preprocessing_1_root_to_HDF5.py
### The weights will be normalized so that the sum of weights is equal for each process.
weights_to_be_applied = definitions.default_weight_list()
#----------------------------------------------------------------------------------------------------
if not os.path.isdir(save_path):
if os.path.isdir(os.path.dirname(save_path)):
os.mkdir(save_path)
#----------------------------------------------------------------------------------------------------
function_call_dict = {'jet_btag_category' : jet_btag_category,
'selected_processes' : selected_processes,
'binary_classification' : binary_classification,
'select_variables' : select_variables,
'cutbased_event_selection' : cutbased_event_selection,
'create_new_process_labels' : create_new_process_labels,
'save_path' : save_path,
'path_to_merged_data_set' : path_to_merged_data_set,