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