def _run_interface(self, runtime):
from pynets.netstats import extractnetstats
out = extractnetstats(self.inputs.sub_id, self.inputs.NETWORK,
self.inputs.thr, self.inputs.conn_model,
self.inputs.est_path1)
setattr(self, '_outpath', out)
return runtime
def _run_interface(self, runtime):
out = extractnetstats(self.inputs.ID, self.inputs.network,
self.inputs.thr, self.inputs.conn_model,
self.inputs.est_path, self.inputs.roi,
self.inputs.prune, self.inputs.node_size,
self.inputs.smooth, self.inputs.c_boot)
setattr(self, '_outpath', out)
return runtime
def _run_interface(self, runtime):
from pynets.netstats import extractnetstats
out = extractnetstats(
self.inputs.ID,
self.inputs.network,
self.inputs.thr,
self.inputs.conn_model,
self.inputs.est_path,
self.inputs.mask,
self.inputs.prune,
self.inputs.node_size)
setattr(self, '_outpath', out)
return runtime
def test_extractnetstats():
base_dir = str(Path(__file__).parent/"examples")
ID = '997'
network = 'Default'
thr = 0.95
conn_model = 'cov'
est_path = base_dir + '/997/997_Default_est_cov_0.95prop_TESTmm_2fwhm.npy'
mask = None
prune = 1
node_size = 'parc'
smooth = 2
start_time = time.time()
out_path = netstats.extractnetstats(ID, network, thr, conn_model, est_path, mask, prune, node_size, smooth)
print("%s%s%s" % ('thresh_and_fit (Functional, proportional thresholding) --> finished: ', str(np.round(time.time() - start_time, 1)), 's'))
assert out_path is not None