1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
|
from __future__ import annotations
from ._types import Optional, Tuple, Union, array
import numpy as np
def concat(arrays: Tuple[array], /, *, axis: Optional[int] = 0) -> array:
"""
Array API compatible wrapper for :py:func:`np.concatenate <numpy.concatenate>`.
See its docstring for more information.
"""
# Note: the function name is different here
return np.concatenate(arrays, axis=axis)
def expand_dims(x: array, axis: int, /) -> array:
"""
Array API compatible wrapper for :py:func:`np.expand_dims <numpy.expand_dims>`.
See its docstring for more information.
"""
return np.expand_dims._implementation(x, axis)
def flip(x: array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
"""
Array API compatible wrapper for :py:func:`np.flip <numpy.flip>`.
See its docstring for more information.
"""
return np.flip._implementation(x, axis=axis)
def reshape(x: array, shape: Tuple[int, ...], /) -> array:
"""
Array API compatible wrapper for :py:func:`np.reshape <numpy.reshape>`.
See its docstring for more information.
"""
return np.reshape._implementation(x, shape)
def roll(x: array, shift: Union[int, Tuple[int, ...]], /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
"""
Array API compatible wrapper for :py:func:`np.roll <numpy.roll>`.
See its docstring for more information.
"""
return np.roll._implementation(x, shift, axis=axis)
def squeeze(x: array, /, *, axis: Optional[Union[int, Tuple[int, ...]]] = None) -> array:
"""
Array API compatible wrapper for :py:func:`np.squeeze <numpy.squeeze>`.
See its docstring for more information.
"""
return np.squeeze._implementation(x, axis=axis)
def stack(arrays: Tuple[array], /, *, axis: int = 0) -> array:
"""
Array API compatible wrapper for :py:func:`np.stack <numpy.stack>`.
See its docstring for more information.
"""
return np.stack._implementation(arrays, axis=axis)
|
