fix typing errors with numpy 2.1

optype/numpy/_any_array.py

@@ -148,7 +148,10 @@ def __getitem__(self, i: int, /) -> _T_co | _PyArrray[_T_co]: ...
 AnyObjectArray: Alias = _Any2[np.object_, _ct.Object]
 
 if _x.NP2 and not _x.NP20:  # `numpy>=2.1`
-    AnyStringArray: Alias = _a.CanArray[tuple[int, ...], np.dtypes.StringDType]
+    AnyStringArray: Alias = _a.CanArray[  # type: ignore[type-var]
+        tuple[int, ...],
+        np.dtypes.StringDType,  # pyright: ignore[reportInvalidTypeArguments]
+    ]
 elif _x.NP2:  # `numpy>=2,<2.1`
     AnyStringArray: Alias = _a.CanArray[tuple[int, ...], np.dtype[Never]]
 else:  # `numpy<2`

optype/numpy/_any_dtype.py

@@ -456,13 +456,11 @@
     # I (@jorenham) added them, see https://github.com/numpy/numpy/pull/27008).
     if not _x.NP20:
         # `numpy>=2.1`
-        AnyStringDType: Alias = _dt.HasDType[np.dtypes.StringDType] | _StringCode
+        _HasStringDType: Alias = _dt.HasDType[np.dtypes.StringDType]  # type: ignore[type-var] # pyright: ignore[reportInvalidTypeArguments]
 
-        AnyDType: Alias = (
-            _Any2[np.generic, object]
-            | _dt.HasDType[np.dtypes.StringDType]
-            | LiteralString
-        )
+        AnyStringDType: Alias = _HasStringDType | _StringCode  # type: ignore[type-var]
+
+        AnyDType: Alias = _Any2[np.generic, object] | _HasStringDType | LiteralString
     else:
         AnyStringDType: Alias = np.dtype[Never] | _StringCode
 

optype/numpy/_array.py

@@ -50,7 +50,7 @@
     @runtime_checkable
     class CanArray(Protocol[_ShapeT_co, _DT_co]):
         @overload
-        def __array__(self, dtype: None = ..., /) -> Array[_ShapeT_co, _DT_co]: ...
+        def __array__(self, dtype: None = ..., /) -> np.ndarray[_ShapeT_co, _DT_co]: ...
         @overload
         def __array__(self, dtype: _DT, /) -> np.ndarray[_ShapeT_co, _DT]: ...
 else:

optype/numpy/_ufunc.py

@@ -119,15 +119,20 @@ def ntypes(self, /) -> int: ...
         def types(self, /) -> list[LiteralString]: ...
 
         # raises `ValueError` i.f.f. `nout != 1 or bool(signature)`
-        def at(self, /, *args: object, **kw: object) -> None: ...
+        @property
+        def at(self, /) -> CanCall[..., None]: ...
         # raises `ValueError` i.f.f. `nin != 2 or nout != 1 or bool(signature)`
-        def reduce(self, /, *args: object, **kw: object) -> object: ...
+        @property
+        def reduce(self, /) -> CanCall[..., object]: ...
         # raises `ValueError` i.f.f. `nin != 2 or nout != 1 or bool(signature)`
-        def reduceat(self, /, *args: object, **kw: object) -> _AnyArray: ...
+        @property
+        def reduceat(self, /) -> CanCall[..., _AnyArray]: ...
         # raises `ValueError` i.f.f. `nin != 2 or nout != 1 or bool(signature)`
-        def accumulate(self, /, *args: object, **kw: object) -> _AnyArray: ...
+        @property
+        def accumulate(self, /) -> CanCall[..., _AnyArray]: ...
         # raises `ValueError` i.f.f. `nin != 2 or nout != 1 or bool(signature)`
-        def outer(self, /, *args: object, **kw: object) -> object: ...
+        @property
+        def outer(self, /) -> CanCall[..., object]: ...
 
 else:
     # `numpy<2.1`
@@ -177,7 +182,7 @@ def outer(self, /) -> CanCall[..., object] | None: ...
 
 
 _MethodCommon: Alias = L['__call__', 'reduce', 'reduceat', 'accumulate', 'outer']
-if _x.NP2:
+if _x.NP2:  # type: ignore[redundant-expr]
     _Method: Alias = L[_MethodCommon, 'at']
 else:
     _Method: Alias = L[_MethodCommon, 'inner']

pyproject.toml

@@ -78,7 +78,6 @@ venv = ".venv"
 pythonVersion = "3.10"
 pythonPlatform = "All"
 typeCheckingMode = "all"
-# defineConstant = {NP2 = true, NP20 = false}
 defineConstant = {NP2 = true, NP20 = false}
 
 reportUnusedCallResult = false  # https://github.com/microsoft/pyright/issues/8650

tests/numpy/test_array.py

@@ -24,17 +24,17 @@ def test_can_array() -> None:
     assert isinstance(scalar, onp.CanArray)
     assert not isinstance(42, onp.CanArray)
 
-    x_0d: onp.CanArray[_Shape0D, np.dtypes.UInt8DType] = np.array(42, sct)
+    x_0d: onp.CanArray[_Shape0D, np.dtype[np.uint8]] = np.array(42, sct)
     assert isinstance(x_0d, onp.CanArray)
 
-    x_1d: onp.CanArray[_Shape1D, np.dtypes.UInt8DType] = np.array([42], sct)
+    x_1d: onp.CanArray[_Shape1D, np.dtype[np.uint8]] = np.array([42], sct)
     assert isinstance(x_1d, onp.CanArray)
     assert not isinstance([42], onp.CanArray)
 
-    x_2d: onp.CanArray[_Shape2D, np.dtypes.UInt8DType] = np.array([[42]], sct)
+    x_2d: onp.CanArray[_Shape2D, np.dtype[np.uint8]] = np.array([[42]], sct)
     assert isinstance(x_2d, onp.CanArray)
 
-    mat: onp.CanArray[_Shape2D, np.dtypes.UInt8DType] = np.asmatrix(42, sct)
+    mat: onp.CanArray[_Shape2D, np.dtype[np.uint8]] = np.asmatrix(42, sct)
     assert isinstance(mat, onp.CanArray)