>>> lol = [('x', 1, 0), ('x', 1, 1), ('x', 1, 2)] >>> nblocks = (4, 1, 2) # note singleton dimension in second place >>> lol = [[('x', 1, 0, 0), ('x', 1, 0, 1)], ... [('x', 1, 1, 0), ('x', 1, 1, 1)], ... [('x', 1, 2, 0), ('x', 1, 2, 1)]] >>> zero_broadcast_di
(lol, nblocks)
| 1421 | |
| 1422 | @_deprecated() |
| 1423 | def zero_broadcast_dimensions(lol, nblocks): |
| 1424 | """ |
| 1425 | >>> lol = [('x', 1, 0), ('x', 1, 1), ('x', 1, 2)] |
| 1426 | >>> nblocks = (4, 1, 2) # note singleton dimension in second place |
| 1427 | >>> lol = [[('x', 1, 0, 0), ('x', 1, 0, 1)], |
| 1428 | ... [('x', 1, 1, 0), ('x', 1, 1, 1)], |
| 1429 | ... [('x', 1, 2, 0), ('x', 1, 2, 1)]] |
| 1430 | |
| 1431 | >>> zero_broadcast_dimensions(lol, nblocks) # doctest: +SKIP |
| 1432 | [[('x', 1, 0, 0), ('x', 1, 0, 1)], |
| 1433 | [('x', 1, 0, 0), ('x', 1, 0, 1)], |
| 1434 | [('x', 1, 0, 0), ('x', 1, 0, 1)]] |
| 1435 | |
| 1436 | See Also |
| 1437 | -------- |
| 1438 | lol_tuples |
| 1439 | """ |
| 1440 | f = lambda t: (t[0],) + tuple(0 if d == 1 else i for i, d in zip(t[1:], nblocks)) |
| 1441 | return homogeneous_deepmap(f, lol) |
| 1442 | |
| 1443 | |
| 1444 | def broadcast_dimensions(argpairs, numblocks, sentinels=(1, (1,)), consolidate=None): |
nothing calls this directly
no test coverage detected
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