TYP: positional-only binop parameters in numpy.dtype

Author: jorenham

numpy/__init__.pyi

@@ -818,36 +818,36 @@ class dtype(Generic[_DTypeScalar_co]):
     def __class_getitem__(self, item: Any) -> GenericAlias: ...
 
     @overload
-    def __getitem__(self: dtype[void], key: list[builtins.str]) -> dtype[void]: ...
+    def __getitem__(self: dtype[void], key: list[builtins.str], /) -> dtype[void]: ...
     @overload
-    def __getitem__(self: dtype[void], key: builtins.str | SupportsIndex) -> dtype[Any]: ...
+    def __getitem__(self: dtype[void], key: builtins.str | SupportsIndex, /) -> dtype[Any]: ...
 
     # NOTE: In the future 1-based multiplications will also yield `flexible` dtypes
     @overload
-    def __mul__(self: _DType, value: L[1]) -> _DType: ...
+    def __mul__(self: _DType, value: L[1], /) -> _DType: ...
     @overload
-    def __mul__(self: _FlexDType, value: SupportsIndex) -> _FlexDType: ...
+    def __mul__(self: _FlexDType, value: SupportsIndex, /) -> _FlexDType: ...
     @overload
-    def __mul__(self, value: SupportsIndex) -> dtype[void]: ...
+    def __mul__(self, value: SupportsIndex, /) -> dtype[void]: ...
 
     # NOTE: `__rmul__` seems to be broken when used in combination with
     # literals as of mypy 0.902. Set the return-type to `dtype[Any]` for
     # now for non-flexible dtypes.
     @overload
-    def __rmul__(self: _FlexDType, value: SupportsIndex) -> _FlexDType: ...
+    def __rmul__(self: _FlexDType, value: SupportsIndex, /) -> _FlexDType: ...
     @overload
-    def __rmul__(self, value: SupportsIndex) -> dtype[Any]: ...
+    def __rmul__(self, value: SupportsIndex, /) -> dtype[Any]: ...
 
-    def __gt__(self, other: DTypeLike) -> builtins.bool: ...
-    def __ge__(self, other: DTypeLike) -> builtins.bool: ...
-    def __lt__(self, other: DTypeLike) -> builtins.bool: ...
-    def __le__(self, other: DTypeLike) -> builtins.bool: ...
+    def __gt__(self, other: DTypeLike, /) -> builtins.bool: ...
+    def __ge__(self, other: DTypeLike, /) -> builtins.bool: ...
+    def __lt__(self, other: DTypeLike, /) -> builtins.bool: ...
+    def __le__(self, other: DTypeLike, /) -> builtins.bool: ...
 
     # Explicitly defined `__eq__` and `__ne__` to get around mypy's
     # `strict_equality` option; even though their signatures are
     # identical to their `object`-based counterpart
-    def __eq__(self, other: Any) -> builtins.bool: ...
-    def __ne__(self, other: Any) -> builtins.bool: ...
+    def __eq__(self, other: Any, /) -> builtins.bool: ...
+    def __ne__(self, other: Any, /) -> builtins.bool: ...
 
     @property
     def alignment(self) -> int: ...