| from collections.abc import Callable, Sequence
|
| from typing import (
|
| TypeVar,
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| Any,
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| overload,
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| SupportsIndex,
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| Protocol,
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| ParamSpec,
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| Concatenate,
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| type_check_only,
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| )
|
|
|
| from typing_extensions import deprecated
|
|
|
| import numpy as np
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| from numpy import _CastingKind, generic, integer, ufunc, unsignedinteger, signedinteger, floating, complexfloating, object_
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| from numpy._typing import (
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| ArrayLike,
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| DTypeLike,
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| NDArray,
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| _ShapeLike,
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| _ArrayLike,
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| _ArrayLikeBool_co,
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| _ArrayLikeUInt_co,
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| _ArrayLikeInt_co,
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| _ArrayLikeFloat_co,
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| _ArrayLikeComplex_co,
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| _ArrayLikeObject_co,
|
| )
|
|
|
| __all__ = [
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| "column_stack",
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| "row_stack",
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| "dstack",
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| "array_split",
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| "split",
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| "hsplit",
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| "vsplit",
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| "dsplit",
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| "apply_over_axes",
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| "expand_dims",
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| "apply_along_axis",
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| "kron",
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| "tile",
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| "take_along_axis",
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| "put_along_axis",
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| ]
|
|
|
| _P = ParamSpec("_P")
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| _SCT = TypeVar("_SCT", bound=generic)
|
|
|
| # Signature of `__array_wrap__`
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| @type_check_only
|
| class _ArrayWrap(Protocol):
|
| def __call__(
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| self,
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| array: NDArray[Any],
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| context: None | tuple[ufunc, tuple[Any, ...], int] = ...,
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| return_scalar: bool = ...,
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| /,
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| ) -> Any: ...
|
|
|
| @type_check_only
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| class _SupportsArrayWrap(Protocol):
|
| @property
|
| def __array_wrap__(self) -> _ArrayWrap: ...
|
|
|
| ###
|
|
|
| def take_along_axis(
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| arr: _SCT | NDArray[_SCT],
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| indices: NDArray[integer[Any]],
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| axis: None | int,
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| ) -> NDArray[_SCT]: ...
|
|
|
| def put_along_axis(
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| arr: NDArray[_SCT],
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| indices: NDArray[integer[Any]],
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| values: ArrayLike,
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| axis: None | int,
|
| ) -> None: ...
|
|
|
| @overload
|
| def apply_along_axis(
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| func1d: Callable[Concatenate[NDArray[Any], _P], _ArrayLike[_SCT]],
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| axis: SupportsIndex,
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| arr: ArrayLike,
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| *args: _P.args,
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| **kwargs: _P.kwargs,
|
| ) -> NDArray[_SCT]: ...
|
| @overload
|
| def apply_along_axis(
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| func1d: Callable[Concatenate[NDArray[Any], _P], Any],
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| axis: SupportsIndex,
|
| arr: ArrayLike,
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| *args: _P.args,
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| **kwargs: _P.kwargs,
|
| ) -> NDArray[Any]: ...
|
|
|
| def apply_over_axes(
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| func: Callable[[NDArray[Any], int], NDArray[_SCT]],
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| a: ArrayLike,
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| axes: int | Sequence[int],
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| ) -> NDArray[_SCT]: ...
|
|
|
| @overload
|
| def expand_dims(
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| a: _ArrayLike[_SCT],
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| axis: _ShapeLike,
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| ) -> NDArray[_SCT]: ...
|
| @overload
|
| def expand_dims(
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| a: ArrayLike,
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| axis: _ShapeLike,
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| ) -> NDArray[Any]: ...
|
|
|
| # Deprecated in NumPy 2.0, 2023-08-18
|
| @deprecated("`row_stack` alias is deprecated. Use `np.vstack` directly.")
|
| def row_stack(
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| tup: Sequence[ArrayLike],
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| *,
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| dtype: DTypeLike | None = None,
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| casting: _CastingKind = "same_kind",
|
| ) -> NDArray[Any]: ...
|
|
|
| #
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| @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(
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| ary: _ArrayLike[_SCT],
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| indices_or_sections: _ShapeLike,
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| axis: SupportsIndex = ...,
|
| ) -> list[NDArray[_SCT]]: ...
|
| @overload
|
| def array_split(
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| ary: ArrayLike,
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| indices_or_sections: _ShapeLike,
|
| axis: SupportsIndex = ...,
|
| ) -> list[NDArray[Any]]: ...
|
|
|
| @overload
|
| def split(
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| ary: _ArrayLike[_SCT],
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| 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],
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| indices_or_sections: _ShapeLike,
|
| ) -> list[NDArray[_SCT]]: ...
|
| @overload
|
| def hsplit(
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| ary: ArrayLike,
|
| indices_or_sections: _ShapeLike,
|
| ) -> list[NDArray[Any]]: ...
|
|
|
| @overload
|
| def vsplit(
|
| ary: _ArrayLike[_SCT],
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| 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(
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| A: _ArrayLike[_SCT],
|
| reps: int | Sequence[int],
|
| ) -> NDArray[_SCT]: ...
|
| @overload
|
| def tile(
|
| A: ArrayLike,
|
| reps: int | Sequence[int],
|
| ) -> NDArray[Any]: ...
|
| |
