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| from collections.abc import Callable, Sequence
| from typing import TypeVar, Any, overload, SupportsIndex, Protocol
|
| from numpy import (
| generic,
| integer,
| ufunc,
| bool_,
| 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
|
| _SCT = TypeVar("_SCT", bound=generic)
|
| # The signatures of `__array_wrap__` and `__array_prepare__` are the same;
| # give them unique names for the sake of clarity
| class _ArrayWrap(Protocol):
| def __call__(
| self,
| array: NDArray[Any],
| context: None | tuple[ufunc, tuple[Any, ...], int] = ...,
| /,
| ) -> Any: ...
|
| class _ArrayPrepare(Protocol):
| def __call__(
| self,
| array: NDArray[Any],
| context: None | tuple[ufunc, tuple[Any, ...], int] = ...,
| /,
| ) -> Any: ...
|
| class _SupportsArrayWrap(Protocol):
| @property
| def __array_wrap__(self) -> _ArrayWrap: ...
|
| class _SupportsArrayPrepare(Protocol):
| @property
| def __array_prepare__(self) -> _ArrayPrepare: ...
|
| __all__: list[str]
|
| row_stack = vstack
|
| 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: ...
|
| # TODO: Use PEP 612 `ParamSpec` once mypy supports `Concatenate`
| # xref python/mypy#8645
| @overload
| def apply_along_axis(
| func1d: Callable[..., _ArrayLike[_SCT]],
| axis: SupportsIndex,
| arr: ArrayLike,
| *args: Any,
| **kwargs: Any,
| ) -> NDArray[_SCT]: ...
| @overload
| def apply_along_axis(
| func1d: Callable[..., ArrayLike],
| axis: SupportsIndex,
| arr: ArrayLike,
| *args: Any,
| **kwargs: Any,
| ) -> 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_prepare(*args: _SupportsArrayPrepare) -> _ArrayPrepare: ...
| @overload
| def get_array_prepare(*args: object) -> None | _ArrayPrepare: ...
|
| @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[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]: ...
|
|
