def merged_genmodelwrapper_1363_TRB():
fn_margs, fn_params = get_1363_TRB_marginals_and_params_filenames()
gmw = GenModelWrapper(fn_params, fn_margs, '1363_TRB_', DummyLogger())
gmw.merge_alleles(assert_merge_definitions=True)
return gmw
merge_defs.set_merge_definitions([merge_def1])
return merge_defs
data_folder = get_testdata_folder()
fn_ced = os.path.join(data_folder, 'models_imgt_ref_dir_sep2019', 'HC')
fn_1363 = os.path.join(fn_ced, '1363_TRB')
out_marginals = os.path.join(fn_1363, '1363_TRB_marginals.txt')
out_params = os.path.join(fn_1363, '1363_TRB_params.txt')
print out_marginals
print out_params
out_marginals = 'C:/CiR/pTCR/IGOR_models/Unproductive_models/models_imgt_ref_dir_sep2019/HC/1365_TRB/1365_TRB_marginals.txt'
out_params = 'C:/CiR/pTCR/IGOR_models/Unproductive_models/models_imgt_ref_dir_sep2019/HC/1365_TRB/1365_TRB_params.txt'
gmw = GenModelWrapper(out_params, out_marginals, '1363_TRB_', StdOutLogger())
gmw.merge_alleles(assert_merge_definitions=True)
bn = gmw.get_bayesian_network_wrapper().get_network()
# truncate_bn = create_truncated_network(bn)
# truncate_bn_wrapper = BayesianNetworkWrapper(truncate_bn)
merge_defs = create_merg_defs(bn)
merged_bayesian_network = gmw.get_bayesian_network_wrapper(
).create_network_with_merged_events(merge_defs, bake=False)
merged_bayesian_network.bake()
bnwrapper = BayesianNetworkWrapper(merged_bayesian_network)
states = {}
n = gmw.get_eventname_for_nickname('v_choice')
state = bnwrapper.get_state(n)
states[n] = state
def genmodelwrapper_1516_TRB():
fn_margs, fn_params = get_1516_TRB_marginals_and_params_filenames()
gmw = GenModelWrapper(fn_params, fn_margs, '1516_TRB_', DummyLogger())
return gmw
def test_1__load_tra_genmodelwrapper():
fn_margs, fn_params = get_1516_TRA_marginals_and_params_filenames()
gmw = GenModelWrapper(fn_params, fn_margs, '1516_TRA_', DummyLogger())
assert (gmw is not None)