(self, num_walks, walk_length, stay_prob=0.3, workers=1, verbose=0)
| 206 | pass |
| 207 | |
| 208 | def simulate_walks(self, num_walks, walk_length, stay_prob=0.3, workers=1, verbose=0): |
| 209 | |
| 210 | layers_adj = pd.read_pickle(self.temp_path + 'layers_adj.pkl') |
| 211 | layers_alias = pd.read_pickle(self.temp_path + 'layers_alias.pkl') |
| 212 | layers_accept = pd.read_pickle(self.temp_path + 'layers_accept.pkl') |
| 213 | gamma = pd.read_pickle(self.temp_path + 'gamma.pkl') |
| 214 | |
| 215 | nodes = self.idx # list(self.g.nodes()) |
| 216 | |
| 217 | results = Parallel(n_jobs=workers, verbose=verbose, )( |
| 218 | delayed(self._simulate_walks)(nodes, num, walk_length, stay_prob, layers_adj, layers_accept, layers_alias, |
| 219 | gamma) for num in |
| 220 | partition_num(num_walks, workers)) |
| 221 | |
| 222 | walks = list(itertools.chain(*results)) |
| 223 | return walks |
| 224 | |
| 225 | def _simulate_walks(self, nodes, num_walks, walk_length, stay_prob, layers_adj, layers_accept, layers_alias, gamma): |
| 226 | walks = [] |
nothing calls this directly
no test coverage detected