def test_RSN_fetch_nodes_and_labels2():
# Set example inputs
base_dir = str(Path(__file__).parent / "examples")
parlistfile = base_dir + '/whole_brain_cluster_labels_PCA200.nii.gz'
atlas_select = 'whole_brain_cluster_labels_PCA200'
dir_path = base_dir + '/997'
func_file = dir_path + '/sub-997_ses-01_task-REST_run-01_bold_space-MNI152NLin2009cAsym_preproc_masked.nii.gz'
ref_txt = None
parc = False
start_time = time.time()
[
RSN_label_names, RSN_coords, atlas_name, _, parcel_list, par_max,
parlistfile, _
] = nodemaker.RSN_fetch_nodes_and_labels(atlas_select, parlistfile,
ref_txt, parc, func_file)
print("%s%s%s" %
('RSN_fetch_nodes_and_labels (Spherical Nodes) --> finished: ',
str(np.round(time.time() - start_time, 1)), 's'))
assert parlistfile is not None
assert par_max is not None
assert parcel_list is not None
assert atlas_name is not None
assert RSN_coords is not None
assert RSN_label_names is not None
def test_RSN_fetch_nodes_and_labels2():
##Set example inputs##
base_dir = str(Path(__file__).parent / "examples")
parlistfile = base_dir + '/whole_brain_cluster_labels_PCA200.nii.gz'
atlas_select = 'whole_brain_cluster_labels_PCA200'
dir_path = base_dir + '/997'
func_file = dir_path + '/sub-997_ses-01_task-REST_run-01_bold_space-MNI152NLin2009cAsym_preproc_masked.nii.gz'
ref_txt = None
parc = False
[
RSN_label_names, RSN_coords, atlas_name, networks_list, parcel_list,
par_max, parlistfile, dir_path
] = nodemaker.RSN_fetch_nodes_and_labels(atlas_select, parlistfile,
ref_txt, parc, func_file)
assert parlistfile is not None
assert par_max is not None
assert parcel_list is not None
assert atlas_name is not None
assert RSN_coords is not None
assert RSN_label_names is not None