| 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
|
| )
|
|
|
| __all__ = ["broadcast_to", "broadcast_arrays", "broadcast_shapes"]
|
|
|
| _SCT = TypeVar("_SCT", bound=generic)
|
|
|
| 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 = ...,
|
| ) -> tuple[NDArray[Any], ...]: ...
|
|
|
