🎨 replace npt.NDArray with _nt.Array in np.matlib

Author: jorenham

src/numpy-stubs/matlib.pyi

@@ -1,5 +1,6 @@
 from typing import Any, Literal, TypeAlias, TypeVar, overload
 
+import _numtype as _nt
 import numpy as np
 import numpy.typing as npt
 
@@ -553,11 +554,7 @@ def identity(n: int, dtype: npt.DTypeLike | None = None) -> _Matrix[Any]: ...
 #
 @overload
 def eye(
-    n: int,
-    M: int | None = None,
-    k: int = 0,
-    dtype: type[np.float64] | None = ...,
-    order: _Order = "C",
+    n: int, M: int | None = None, k: int = 0, dtype: type[np.float64] | None = ..., order: _Order = "C"
 ) -> _Matrix[np.float64]: ...
 @overload
 def eye(n: int, M: int | None, k: int, dtype: _DTypeLike[_T], order: _Order = "C") -> _Matrix[_T]: ...
@@ -582,6 +579,6 @@ def randn(arg: int, /, *args: int) -> _Matrix[np.float64]: ...
 @overload
 def repmat(a: _Matrix[_T], m: int, n: int) -> _Matrix[_T]: ...
 @overload
-def repmat(a: _ArrayLike[_T], m: int, n: int) -> npt.NDArray[_T]: ...
+def repmat(a: _ArrayLike[_T], m: int, n: int) -> _nt.Array[_T]: ...
 @overload
-def repmat(a: npt.ArrayLike, m: int, n: int) -> npt.NDArray[Any]: ...
+def repmat(a: npt.ArrayLike, m: int, n: int) -> _nt.Array[Any]: ...