|
1 | 1 | from numpy.linalg import * |
2 | 2 | from numpy.linalg import __all__ as linalg_all |
3 | 3 |
|
4 | | -from ..common import linalg |
| 4 | +from ..common import _linalg |
5 | 5 | from .._internal import get_xp |
6 | 6 |
|
7 | 7 | import numpy as np |
8 | 8 |
|
9 | | -cross = get_xp(np)(linalg.cross) |
10 | | -diagonal = get_xp(np)(linalg.diagonal) |
11 | | -matmul = get_xp(np)(linalg.matmul) |
12 | | -cholesky = get_xp(np)(linalg.cholesky) |
13 | | -matrix_rank = get_xp(np)(linalg.matrix_rank) |
14 | | -pinv = get_xp(np)(linalg.pinv) |
15 | | -matrix_norm = get_xp(np)(linalg.matrix_norm) |
16 | | -matrix_transpose = get_xp(np)(linalg.matrix_transpose) |
17 | | -outer = get_xp(np)(linalg.outer) |
18 | | -svdvals = get_xp(np)(linalg.svdvals) |
19 | | -tensordot = get_xp(np)(linalg.tensordot) |
20 | | -trace = get_xp(np)(linalg.trace) |
21 | | -vecdot = get_xp(np)(linalg.vecdot) |
22 | | -vector_norm = get_xp(np)(linalg.vector_norm) |
| 9 | +cross = get_xp(np)(_linalg.cross) |
| 10 | +diagonal = get_xp(np)(_linalg.diagonal) |
| 11 | +matmul = get_xp(np)(_linalg.matmul) |
| 12 | +cholesky = get_xp(np)(_linalg.cholesky) |
| 13 | +matrix_rank = get_xp(np)(_linalg.matrix_rank) |
| 14 | +pinv = get_xp(np)(_linalg.pinv) |
| 15 | +matrix_norm = get_xp(np)(_linalg.matrix_norm) |
| 16 | +matrix_transpose = get_xp(np)(_linalg.matrix_transpose) |
| 17 | +outer = get_xp(np)(_linalg.outer) |
| 18 | +svdvals = get_xp(np)(_linalg.svdvals) |
| 19 | +tensordot = get_xp(np)(_linalg.tensordot) |
| 20 | +trace = get_xp(np)(_linalg.trace) |
| 21 | +vecdot = get_xp(np)(_linalg.vecdot) |
| 22 | +vector_norm = get_xp(np)(_linalg.vector_norm) |
23 | 23 |
|
24 | | -__all__ = linalg_all + linalg.__all__ |
| 24 | +__all__ = linalg_all + _linalg.__all__ |
25 | 25 |
|
26 | 26 | del get_xp |
27 | 27 | del np |
28 | 28 | del linalg_all |
| 29 | +del _linalg |
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