TYP: Fix typing errors in ndarray builtin type conversion operators

Author: jorenham

numpy/__init__.pyi

@@ -2241,22 +2241,10 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeType_co, _DType_co]):
         offset: SupportsIndex = ...
     ) -> NDArray[Any]: ...
 
-    # Dispatch to the underlying `generic` via protocols
-    def __int__(
-        self: NDArray[SupportsInt],  # type: ignore[type-var]
-    ) -> int: ...
-
-    def __float__(
-        self: NDArray[SupportsFloat],  # type: ignore[type-var]
-    ) -> float: ...
-
-    def __complex__(
-        self: NDArray[SupportsComplex],  # type: ignore[type-var]
-    ) -> complex: ...
-
-    def __index__(
-        self: NDArray[SupportsIndex],  # type: ignore[type-var]
-    ) -> int: ...
+    def __index__(self: NDArray[np.integer[Any]], /) -> int: ...
+    def __int__(self: NDArray[number[Any] | np.bool | object_], /) -> int: ...
+    def __float__(self: NDArray[number[Any] | np.bool | object_], /) -> float: ...
+    def __complex__(self: NDArray[number[Any] | np.bool | object_], /) -> complex: ...
 
     def __len__(self) -> int: ...
     def __setitem__(self, key, value): ...