Initial configuration commit

typings/numpy/lib/stride_tricks.pyi

@@ -0,0 +1,49 @@
+"""
+This type stub file was generated by pyright.
+"""
+
+from collections.abc import Iterable
+from typing import Any, SupportsIndex, TypeVar, overload
+from numpy import generic
+from numpy._typing import ArrayLike, NDArray, _ArrayLike, _Shape, _ShapeLike
+
+_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]]:
+    ...
+