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