From 03dc8bfbc809b43b91b4ecb8f481be1ce2644d66 Mon Sep 17 00:00:00 2001
From: Bas van Beek <b.f.van.beek@vu.nl>
Date: Mon, 24 Jan 2022 17:28:33 +0100
Subject: MAINT: Create the `_ArrayLike` type-alias in `numpy.typing`

Represents a subset of `npt.ArrayLike` that can be parametrized w.r.t. `np.generic`
---
 numpy/lib/function_base.pyi | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

(limited to 'numpy/lib/function_base.pyi')

diff --git a/numpy/lib/function_base.pyi b/numpy/lib/function_base.pyi
index d99672169..bba4c0297 100644
--- a/numpy/lib/function_base.pyi
+++ b/numpy/lib/function_base.pyi
@@ -18,7 +18,6 @@ else:
 from numpy import (
     vectorize as vectorize,
     ufunc,
-    dtype,
     generic,
     floating,
     complexfloating,
@@ -38,8 +37,7 @@ from numpy.typing import (
     _ShapeLike,
     _ScalarLike_co,
     _DTypeLike,
-    _FiniteNestedSequence,
-    _SupportsArray,
+    _ArrayLike,
     _ArrayLikeInt_co,
     _ArrayLikeFloat_co,
     _ArrayLikeComplex_co,
@@ -67,7 +65,6 @@ _SCT = TypeVar("_SCT", bound=generic)
 _ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
 
 _2Tuple = tuple[_T, _T]
-_ArrayLike = _FiniteNestedSequence[_SupportsArray[dtype[_SCT]]]
 
 class _TrimZerosSequence(Protocol[_T_co]):
     def __len__(self) -> int: ...
-- 
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