File size: 5,257 Bytes
17c6d62
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
from collections.abc import Callable, Sequence
from typing import (
    TypeVar,
    Any,
    overload,
    SupportsIndex,
    Protocol,
    ParamSpec,
    Concatenate,
    type_check_only,
)

import numpy as np
from numpy import (
    generic,
    integer,
    ufunc,
    unsignedinteger,
    signedinteger,
    floating,
    complexfloating,
    object_,
)
from numpy._core.shape_base import vstack as row_stack
from numpy._typing import (
    ArrayLike,
    NDArray,
    _ShapeLike,
    _ArrayLike,
    _ArrayLikeBool_co,
    _ArrayLikeUInt_co,
    _ArrayLikeInt_co,
    _ArrayLikeFloat_co,
    _ArrayLikeComplex_co,
    _ArrayLikeObject_co,
)

__all__ = [
    "column_stack",
    "row_stack",
    "dstack",
    "array_split",
    "split",
    "hsplit",
    "vsplit",
    "dsplit",
    "apply_over_axes",
    "expand_dims",
    "apply_along_axis",
    "kron",
    "tile",
    "take_along_axis",
    "put_along_axis",
]

_P = ParamSpec("_P")
_SCT = TypeVar("_SCT", bound=generic)

# Signature of `__array_wrap__`
@type_check_only

class _ArrayWrap(Protocol):

    def __call__(

        self,

        array: NDArray[Any],

        context: None | tuple[ufunc, tuple[Any, ...], int] = ...,

        return_scalar: bool = ...,

        /,

    ) -> Any: ...



@type_check_only

class _SupportsArrayWrap(Protocol):

    @property

    def __array_wrap__(self) -> _ArrayWrap: ...



def take_along_axis(

    arr: _SCT | NDArray[_SCT],

    indices: NDArray[integer[Any]],

    axis: None | int,

) -> NDArray[_SCT]: ...



def put_along_axis(

    arr: NDArray[_SCT],

    indices: NDArray[integer[Any]],

    values: ArrayLike,

    axis: None | int,

) -> None: ...



@overload

def apply_along_axis(

    func1d: Callable[Concatenate[NDArray[Any], _P], _ArrayLike[_SCT]],

    axis: SupportsIndex,

    arr: ArrayLike,

    *args: _P.args,

    **kwargs: _P.kwargs,

) -> NDArray[_SCT]: ...

@overload

def apply_along_axis(

    func1d: Callable[Concatenate[NDArray[Any], _P], Any],

    axis: SupportsIndex,

    arr: ArrayLike,

    *args: _P.args,

    **kwargs: _P.kwargs,

) -> NDArray[Any]: ...



def apply_over_axes(

    func: Callable[[NDArray[Any], int], NDArray[_SCT]],

    a: ArrayLike,

    axes: int | Sequence[int],

) -> NDArray[_SCT]: ...



@overload

def expand_dims(

    a: _ArrayLike[_SCT],

    axis: _ShapeLike,

) -> NDArray[_SCT]: ...

@overload

def expand_dims(

    a: ArrayLike,

    axis: _ShapeLike,

) -> NDArray[Any]: ...



@overload

def column_stack(tup: Sequence[_ArrayLike[_SCT]]) -> NDArray[_SCT]: ...

@overload

def column_stack(tup: Sequence[ArrayLike]) -> NDArray[Any]: ...



@overload

def dstack(tup: Sequence[_ArrayLike[_SCT]]) -> NDArray[_SCT]: ...

@overload

def dstack(tup: Sequence[ArrayLike]) -> NDArray[Any]: ...



@overload

def array_split(

    ary: _ArrayLike[_SCT],

    indices_or_sections: _ShapeLike,

    axis: SupportsIndex = ...,

) -> list[NDArray[_SCT]]: ...

@overload

def array_split(

    ary: ArrayLike,

    indices_or_sections: _ShapeLike,

    axis: SupportsIndex = ...,

) -> list[NDArray[Any]]: ...



@overload

def split(

    ary: _ArrayLike[_SCT],

    indices_or_sections: _ShapeLike,

    axis: SupportsIndex = ...,

) -> list[NDArray[_SCT]]: ...

@overload

def split(

    ary: ArrayLike,

    indices_or_sections: _ShapeLike,

    axis: SupportsIndex = ...,

) -> list[NDArray[Any]]: ...



@overload

def hsplit(

    ary: _ArrayLike[_SCT],

    indices_or_sections: _ShapeLike,

) -> list[NDArray[_SCT]]: ...

@overload

def hsplit(

    ary: ArrayLike,

    indices_or_sections: _ShapeLike,

) -> list[NDArray[Any]]: ...



@overload

def vsplit(

    ary: _ArrayLike[_SCT],

    indices_or_sections: _ShapeLike,

) -> list[NDArray[_SCT]]: ...

@overload

def vsplit(

    ary: ArrayLike,

    indices_or_sections: _ShapeLike,

) -> list[NDArray[Any]]: ...



@overload

def dsplit(

    ary: _ArrayLike[_SCT],

    indices_or_sections: _ShapeLike,

) -> list[NDArray[_SCT]]: ...

@overload

def dsplit(

    ary: ArrayLike,

    indices_or_sections: _ShapeLike,

) -> list[NDArray[Any]]: ...



@overload

def get_array_wrap(*args: _SupportsArrayWrap) -> _ArrayWrap: ...

@overload

def get_array_wrap(*args: object) -> None | _ArrayWrap: ...



@overload

def kron(a: _ArrayLikeBool_co, b: _ArrayLikeBool_co) -> NDArray[np.bool]: ...  # type: ignore[misc]

@overload

def kron(a: _ArrayLikeUInt_co, b: _ArrayLikeUInt_co) -> NDArray[unsignedinteger[Any]]: ...  # type: ignore[misc]

@overload

def kron(a: _ArrayLikeInt_co, b: _ArrayLikeInt_co) -> NDArray[signedinteger[Any]]: ...  # type: ignore[misc]

@overload

def kron(a: _ArrayLikeFloat_co, b: _ArrayLikeFloat_co) -> NDArray[floating[Any]]: ...  # type: ignore[misc]

@overload

def kron(a: _ArrayLikeComplex_co, b: _ArrayLikeComplex_co) -> NDArray[complexfloating[Any, Any]]: ...

@overload

def kron(a: _ArrayLikeObject_co, b: Any) -> NDArray[object_]: ...

@overload

def kron(a: Any, b: _ArrayLikeObject_co) -> NDArray[object_]: ...



@overload

def tile(

    A: _ArrayLike[_SCT],

    reps: int | Sequence[int],

) -> NDArray[_SCT]: ...

@overload

def tile(

    A: ArrayLike,

    reps: int | Sequence[int],

) -> NDArray[Any]: ...