Sparse Nodes. Args: ids: A 1D numpy array, the ids of the nodes. offsets: A python list, each elem of list is an int, which indicates the number of nodes. dense_shape: The shape of the the corresponding dense Nodes. For example, ids=[5, 2, 1, 6, 2, 4], offs
(self,
ids,
offsets,
dense_shape,
node_type,
int_attrs=None,
float_attrs=None,
string_attrs=None,
weights=None,
labels=None,
graph=None)
| 366 | """ |
| 367 | |
| 368 | def __init__(self, |
| 369 | ids, |
| 370 | offsets, |
| 371 | dense_shape, |
| 372 | node_type, |
| 373 | int_attrs=None, |
| 374 | float_attrs=None, |
| 375 | string_attrs=None, |
| 376 | weights=None, |
| 377 | labels=None, |
| 378 | graph=None): |
| 379 | """ Sparse Nodes. |
| 380 | Args: |
| 381 | ids: A 1D numpy array, the ids of the nodes. |
| 382 | offsets: A python list, each elem of list is an int, |
| 383 | which indicates the number of nodes. |
| 384 | dense_shape: The shape of the the corresponding dense Nodes. |
| 385 | For example, ids=[5, 2, 1, 6, 2, 4], |
| 386 | offsets=[3, 2, 1], |
| 387 | dense_shape=[3, 5]. |
| 388 | The corresponding dense Nodes is |
| 389 | [[ 5, 2, 1, -1, -1], |
| 390 | [ 6, 2, -1, -1, -1], |
| 391 | [ 4, -1, -1, -1, -1]] |
| 392 | """ |
| 393 | Nodes.__init__(self, ids, |
| 394 | node_type, |
| 395 | int_attrs=None, |
| 396 | float_attrs=None, |
| 397 | string_attrs=None, |
| 398 | weights=weights, |
| 399 | labels=labels, |
| 400 | shape=None, |
| 401 | graph=graph) |
| 402 | SparseBase.__init__(self, offsets, dense_shape) |
| 403 | num_nodes = sum(offsets) |
| 404 | if ids.shape[0] != num_nodes: |
| 405 | raise ValueError("Ids must be the same length of indices") |
| 406 | |
| 407 | def __next__(self): |
| 408 | if self._it < len(self._offsets): |