def test_create_csv_path():
"""
Test create_csv_path functionality
"""
base_dir = str(Path(__file__).parent/"examples")
# fmri case
dir_path = base_dir + '/002/fmri'
network = 'Default'
ID = '002'
models = ['corr', 'cov', 'sps', 'partcorr']
roi = None
node_size = 6
smooth = 6
c_boot = 100
hpass = 100
parc = True
directget = 'prob'
max_length = 200
# Cross test various connectivity models, thresholds, and parc true/false.
for conn_model in models:
for val in range(1, 10):
thr = round(val*0.1, 1)
for thr_type in ['prop', 'abs', 'dens', 'mst', 'disp']:
for parc in [True, False]:
est_path = utils.create_est_path_func(ID, network, conn_model, thr, roi, dir_path, node_size,
smooth, c_boot,
thr_type, hpass, parc)
out_path = utils.create_csv_path(dir_path, est_path)
assert out_path is not None
dir_path = base_dir + '/002/dmri'
network = 'Default'
ID = '002'
models = ['corr', 'cov', 'sps', 'partcorr']
roi = None
node_size = 6
for conn_model in models:
for val in range(1, 10):
thr = round(val*0.1, 1)
for thr_type in ['prop', 'abs', 'dens', 'mst', 'disp']:
for target_samples in range(0, 100, 1000):
for track_type in ['local', 'particle']:
for parc in [True, False]:
est_path = utils.create_est_path_diff(ID, network, conn_model, thr, roi,
dir_path, node_size, target_samples,
track_type, thr_type, parc, directget, max_length)
out_path = utils.create_csv_path(dir_path, est_path)
assert out_path is not None
def test_create_csv_path():
"""
Test create_csv_path functionality
"""
import tempfile
dir_path = str(tempfile.TemporaryDirectory().name)
os.makedirs(dir_path)
# fmri case
network = 'Default'
ID = '002'
conn_model = 'corr'
roi = None
node_size = 6
smooth = 6
hpass = 100
parc = True
thr = 0.75
thr_type = 'prop'
extract_strategy = 'mean'
est_path = utils.create_est_path_func(ID, network, conn_model, thr, roi,
dir_path, node_size, smooth,
thr_type, hpass, parc,
extract_strategy)
out_path = utils.create_csv_path(dir_path, est_path)
assert out_path is not None
def test_create_csv_path():
"""
Test create_csv_path functionality
"""
import tempfile
tmp = tempfile.TemporaryDirectory()
dir_path = str(tmp.name)
os.makedirs(dir_path, exist_ok=True)
# fmri case
subnet = 'Default'
ID = '002'
conn_model = 'corr'
roi = None
node_size = 6
smooth = 6
hpass = 100
parc = True
thr = 0.75
thr_type = 'prop'
signal = 'mean'
est_path = utils.create_est_path_func(ID, subnet, conn_model, thr, roi,
dir_path, node_size, smooth,
thr_type, hpass, parc, signal)
out_path = utils.create_csv_path(dir_path, est_path)
assert out_path is not None
tmp.cleanup()
def test_create_csv_path():
"""
Test create_csv_path functionality
"""
base_dir = str(Path(__file__).parent / "examples")
# fmri case
dir_path = base_dir + '/002/fmri'
network = 'Default'
ID = '002'
conn_model = 'corr'
roi = None
node_size = 6
smooth = 6
c_boot = 100
hpass = 100
parc = True
thr = 0.75
thr_type = 'prop'
# Delete pre-existing graphs dir
graph_dir = dir_path + '/graphs'
if os.path.exists(graph_dir):
shutil.move(graph_dir, graph_dir + '_tmp')
# Delete pre-existing netmetrics dir
netmetrics_dir = str(Path(dir_path).parent) + '/netmetrics'
if os.path.exists(netmetrics_dir):
shutil.move(netmetrics_dir, netmetrics_dir + '_tmp')
est_path = utils.create_est_path_func(ID, network, conn_model, thr, roi,
dir_path, node_size, smooth, c_boot,
thr_type, hpass, parc)
out_path = utils.create_csv_path(dir_path, est_path)
assert out_path is not None
# Restore pre-existing graph dir
if os.path.exists(graph_dir + '_tmp'):
shutil.rmtree(graph_dir)
shutil.move(graph_dir + '_tmp', graph_dir)
if os.path.exists(netmetrics_dir + '_tmp'):
shutil.rmtree(netmetrics_dir)
shutil.move(netmetrics_dir + '_tmp', netmetrics_dir)