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| from collections.abc import Iterable
| from typing import Any, TypeVar, overload, SupportsIndex
|
| from numpy import generic
| from numpy._typing import (
| NDArray,
| ArrayLike,
| _ShapeLike,
| _Shape,
| _ArrayLike
| )
|
| _SCT = TypeVar("_SCT", bound=generic)
|
| __all__: list[str]
|
| class DummyArray:
| __array_interface__: dict[str, Any]
| base: None | NDArray[Any]
| def __init__(
| self,
| interface: dict[str, Any],
| base: None | NDArray[Any] = ...,
| ) -> None: ...
|
| @overload
| def as_strided(
| x: _ArrayLike[_SCT],
| shape: None | Iterable[int] = ...,
| strides: None | Iterable[int] = ...,
| subok: bool = ...,
| writeable: bool = ...,
| ) -> NDArray[_SCT]: ...
| @overload
| def as_strided(
| x: ArrayLike,
| shape: None | Iterable[int] = ...,
| strides: None | Iterable[int] = ...,
| subok: bool = ...,
| writeable: bool = ...,
| ) -> NDArray[Any]: ...
|
| @overload
| def sliding_window_view(
| x: _ArrayLike[_SCT],
| window_shape: int | Iterable[int],
| axis: None | SupportsIndex = ...,
| *,
| subok: bool = ...,
| writeable: bool = ...,
| ) -> NDArray[_SCT]: ...
| @overload
| def sliding_window_view(
| x: ArrayLike,
| window_shape: int | Iterable[int],
| axis: None | SupportsIndex = ...,
| *,
| subok: bool = ...,
| writeable: bool = ...,
| ) -> NDArray[Any]: ...
|
| @overload
| def broadcast_to(
| array: _ArrayLike[_SCT],
| shape: int | Iterable[int],
| subok: bool = ...,
| ) -> NDArray[_SCT]: ...
| @overload
| def broadcast_to(
| array: ArrayLike,
| shape: int | Iterable[int],
| subok: bool = ...,
| ) -> NDArray[Any]: ...
|
| def broadcast_shapes(*args: _ShapeLike) -> _Shape: ...
|
| def broadcast_arrays(
| *args: ArrayLike,
| subok: bool = ...,
| ) -> list[NDArray[Any]]: ...
|
|
