File size: 5,021 Bytes
f7f4f4b |
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 |
import sys
from collections.abc import Callable, Sequence
from typing import TypeVar, Any, overload, SupportsIndex, Protocol
if sys.version_info >= (3, 10):
from typing import ParamSpec, Concatenate
else:
from typing_extensions import ParamSpec, Concatenate
import numpy as np
from numpy import (
generic,
integer,
ufunc,
unsignedinteger,
signedinteger,
floating,
complexfloating,
object_,
)
from numpy._typing import (
ArrayLike,
NDArray,
_ShapeLike,
_ArrayLike,
_ArrayLikeBool_co,
_ArrayLikeUInt_co,
_ArrayLikeInt_co,
_ArrayLikeFloat_co,
_ArrayLikeComplex_co,
_ArrayLikeObject_co,
)
from numpy._core.shape_base import vstack
_P = ParamSpec("_P")
_SCT = TypeVar("_SCT", bound=generic)
# Signature of `__array_wrap__`
class _ArrayWrap(Protocol):
def __call__(
self,
array: NDArray[Any],
context: None | tuple[ufunc, tuple[Any, ...], int] = ...,
return_scalar: bool = ...,
/,
) -> Any: ...
class _SupportsArrayWrap(Protocol):
@property
def __array_wrap__(self) -> _ArrayWrap: ...
__all__: list[str]
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], ArrayLike],
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]: ...
|