From a3779bc53d4b6b58039eebcb268f8bfb9c46e7b9 Mon Sep 17 00:00:00 2001
From: jorenham <jhammudoglu@gmail.com>
Date: Mon, 29 Dec 2025 23:18:15 +0100
Subject: [PATCH] =?UTF-8?q?=F0=9F=91=BD=EF=B8=8F=20`lib.=5Fstride=5Ftricks?=
 =?UTF-8?q?=5Fimpl`=20sync=20with=20upstream?=
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---
 src/numpy-stubs/lib/_stride_tricks_impl.pyi | 51 ++++++++++++---------
 1 file changed, 30 insertions(+), 21 deletions(-)

diff --git a/src/numpy-stubs/lib/_stride_tricks_impl.pyi b/src/numpy-stubs/lib/_stride_tricks_impl.pyi
index 51228793..e67f51dd 100644
--- a/src/numpy-stubs/lib/_stride_tricks_impl.pyi
+++ b/src/numpy-stubs/lib/_stride_tricks_impl.pyi
@@ -1,3 +1,4 @@
+from _typeshed import Incomplete
 from collections.abc import Iterable
 from typing import Any, SupportsIndex, overload
 from typing_extensions import TypeVar
@@ -10,48 +11,56 @@ __all__ = ["broadcast_arrays", "broadcast_shapes", "broadcast_to"]
 
 _ScalarT = TypeVar("_ScalarT", bound=np.generic)
 
+###
+
 class DummyArray:
     __array_interface__: dict[str, Any]
-    base: _nt.Array | None
-    def __init__(self, interface: dict[str, Any], base: _nt.Array | None = ...) -> None: ...
+    base: np.ndarray | None
+    def __init__(self, /, interface: dict[str, Any], base: np.ndarray | None = None) -> None: ...
 
 @overload
 def as_strided(
     x: _ArrayLike[_ScalarT],
-    shape: Iterable[int] | None = ...,
-    strides: Iterable[int] | None = ...,
-    subok: bool = ...,
-    writeable: bool = ...,
+    shape: Iterable[int] | None = None,
+    strides: Iterable[int] | None = None,
+    subok: bool = False,
+    writeable: bool = True,
 ) -> _nt.Array[_ScalarT]: ...
 @overload
 def as_strided(
     x: ArrayLike,
-    shape: Iterable[int] | None = ...,
-    strides: Iterable[int] | None = ...,
-    subok: bool = ...,
-    writeable: bool = ...,
-) -> _nt.Array: ...
+    shape: Iterable[int] | None = None,
+    strides: Iterable[int] | None = None,
+    subok: bool = False,
+    writeable: bool = True,
+) -> _nt.Array[Incomplete]: ...
+
+#
 @overload
 def sliding_window_view(
     x: _ArrayLike[_ScalarT],
     window_shape: _ShapeLike,
-    axis: SupportsIndex | None = ...,
+    axis: SupportsIndex | None = None,
     *,
-    subok: bool = ...,
-    writeable: bool = ...,
+    subok: bool = False,
+    writeable: bool = False,
 ) -> _nt.Array[_ScalarT]: ...
 @overload
 def sliding_window_view(
     x: ArrayLike,
     window_shape: _ShapeLike,
-    axis: SupportsIndex | None = ...,
+    axis: SupportsIndex | None = None,
     *,
-    subok: bool = ...,
-    writeable: bool = ...,
-) -> _nt.Array: ...
+    subok: bool = False,
+    writeable: bool = False,
+) -> _nt.Array[Incomplete]: ...
+
+#
 @overload
-def broadcast_to(array: _ArrayLike[_ScalarT], shape: _ShapeLike, subok: bool = ...) -> _nt.Array[_ScalarT]: ...
+def broadcast_to(array: _ArrayLike[_ScalarT], shape: _ShapeLike, subok: bool = False) -> _nt.Array[_ScalarT]: ...
 @overload
-def broadcast_to(array: ArrayLike, shape: _ShapeLike, subok: bool = ...) -> _nt.Array: ...
+def broadcast_to(array: ArrayLike, shape: _ShapeLike, subok: bool = False) -> _nt.Array[Incomplete]: ...
+
+#
 def broadcast_shapes(*args: _ShapeLike) -> _nt.Shape: ...
-def broadcast_arrays(*args: ArrayLike, subok: bool = ...) -> tuple[_nt.Array, ...]: ...
+def broadcast_arrays(*args: ArrayLike, subok: bool = False) -> tuple[_nt.Array[Incomplete], ...]: ...