STY: Use the PEP 457 positional-only syntax in the stub files

Author: Bas van Beek

numpy/__init__.pyi

@@ -1184,9 +1184,9 @@ class flatiter(Generic[_NdArraySubClass]):
         self, key: Union[_ArrayLikeInt, slice, ellipsis],
     ) -> _NdArraySubClass: ...
     @overload
-    def __array__(self: flatiter[ndarray[Any, _DType]], __dtype: None = ...) -> ndarray[Any, _DType]: ...
+    def __array__(self: flatiter[ndarray[Any, _DType]], dtype: None = ..., /) -> ndarray[Any, _DType]: ...
     @overload
-    def __array__(self, __dtype: _DType) -> ndarray[Any, _DType]: ...
+    def __array__(self, dtype: _DType, /) -> ndarray[Any, _DType]: ...
 
 _OrderKACF = Optional[L["K", "A", "C", "F"]]
 _OrderACF = Optional[L["A", "C", "F"]]
@@ -1215,7 +1215,7 @@ class _ArrayOrScalarCommon:
     def __str__(self) -> str: ...
     def __repr__(self) -> str: ...
     def __copy__(self: _ArraySelf) -> _ArraySelf: ...
-    def __deepcopy__(self: _ArraySelf, __memo: Optional[dict] = ...) -> _ArraySelf: ...
+    def __deepcopy__(self: _ArraySelf, memo: None | dict = ..., /) -> _ArraySelf: ...
     def __eq__(self, other): ...
     def __ne__(self, other): ...
     def copy(self: _ArraySelf, order: _OrderKACF = ...) -> _ArraySelf: ...
@@ -1238,7 +1238,7 @@ class _ArrayOrScalarCommon:
     def __array_priority__(self) -> float: ...
     @property
     def __array_struct__(self): ...
-    def __setstate__(self, __state): ...
+    def __setstate__(self, state, /): ...
     # a `bool_` is returned when `keepdims=True` and `self` is a 0d array
 
     @overload
@@ -1648,7 +1648,7 @@ _ArrayNumber_co = NDArray[Union[bool_, number[Any]]]
 _ArrayTD64_co = NDArray[Union[bool_, integer[Any], timedelta64]]
 
 class _SupportsItem(Protocol[_T_co]):
-    def item(self, __args: Any) -> _T_co: ...
+    def item(self, args: Any, /) -> _T_co: ...
 
 class _SupportsReal(Protocol[_T_co]):
     @property
@@ -1687,20 +1687,22 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeType, _DType_co]):
         order: _OrderKACF = ...,
     ) -> _ArraySelf: ...
     @overload
-    def __array__(self, __dtype: None = ...) -> ndarray[Any, _DType_co]: ...
+    def __array__(self, dtype: None = ..., /) -> ndarray[Any, _DType_co]: ...
     @overload
-    def __array__(self, __dtype: _DType) -> ndarray[Any, _DType]: ...
+    def __array__(self, dtype: _DType, /) -> ndarray[Any, _DType]: ...
 
     def __array_wrap__(
         self,
-        __array: ndarray[_ShapeType2, _DType],
-        __context: None | Tuple[ufunc, Tuple[Any, ...], int] = ...,
+        array: ndarray[_ShapeType2, _DType],
+        context: None | Tuple[ufunc, Tuple[Any, ...], int] = ...,
+        /,
     ) -> ndarray[_ShapeType2, _DType]: ...
 
     def __array_prepare__(
         self,
-        __array: ndarray[_ShapeType2, _DType],
-        __context: None | Tuple[ufunc, Tuple[Any, ...], int] = ...,
+        array: ndarray[_ShapeType2, _DType],
+        context: None | Tuple[ufunc, Tuple[Any, ...], int] = ...,
+        /,
     ) -> ndarray[_ShapeType2, _DType]: ...
 
     @property
@@ -1727,16 +1729,17 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeType, _DType_co]):
     @overload
     def item(
         self: ndarray[Any, dtype[_SupportsItem[_T]]],  # type: ignore[type-var]
-        __args: Tuple[SupportsIndex, ...],
+        args: Tuple[SupportsIndex, ...],
+        /,
     ) -> _T: ...
 
     @overload
-    def itemset(self, __value: Any) -> None: ...
+    def itemset(self, value: Any, /) -> None: ...
     @overload
-    def itemset(self, __item: _ShapeLike, __value: Any) -> None: ...
+    def itemset(self, item: _ShapeLike, value: Any, /) -> None: ...
 
     @overload
-    def resize(self, __new_shape: _ShapeLike, *, refcheck: bool = ...) -> None: ...
+    def resize(self, new_shape: _ShapeLike, /, *, refcheck: bool = ...) -> None: ...
     @overload
     def resize(self, *new_shape: SupportsIndex, refcheck: bool = ...) -> None: ...
 
@@ -1756,7 +1759,7 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeType, _DType_co]):
     ) -> ndarray[Any, _DType_co]: ...
 
     @overload
-    def transpose(self: _ArraySelf, __axes: _ShapeLike) -> _ArraySelf: ...
+    def transpose(self: _ArraySelf, axes: _ShapeLike, /) -> _ArraySelf: ...
     @overload
     def transpose(self: _ArraySelf, *axes: SupportsIndex) -> _ArraySelf: ...
 
@@ -1895,7 +1898,7 @@ class ndarray(_ArrayOrScalarCommon, Generic[_ShapeType, _DType_co]):
 
     @overload
     def reshape(
-        self, __shape: _ShapeLike, *, order: _OrderACF = ...
+        self, shape: _ShapeLike, /, *, order: _OrderACF = ...
     ) -> ndarray[Any, _DType_co]: ...
     @overload
     def reshape(
@@ -2901,9 +2904,9 @@ class generic(_ArrayOrScalarCommon):
     @abstractmethod
     def __init__(self, *args: Any, **kwargs: Any) -> None: ...
     @overload
-    def __array__(self: _ScalarType, __dtype: None = ...) -> ndarray[Any, dtype[_ScalarType]]: ...
+    def __array__(self: _ScalarType, dtype: None = ..., /) -> ndarray[Any, dtype[_ScalarType]]: ...
     @overload
-    def __array__(self, __dtype: _DType) -> ndarray[Any, _DType]: ...
+    def __array__(self, dtype: _DType, /) -> ndarray[Any, _DType]: ...
     @property
     def base(self) -> None: ...
     @property
@@ -2971,8 +2974,7 @@ class generic(_ArrayOrScalarCommon):
     ) -> Any: ...
 
     def item(
-        self,
-        __args: Union[L[0], Tuple[()], Tuple[L[0]]] = ...,
+        self, args: L[0] | Tuple[()] | Tuple[L[0]] = ..., /,
     ) -> Any: ...
 
     @overload
@@ -3018,7 +3020,7 @@ class generic(_ArrayOrScalarCommon):
 
     @overload
     def reshape(
-        self: _ScalarType, __shape: _ShapeLike, *, order: _OrderACF = ...
+        self: _ScalarType, shape: _ShapeLike, /, *, order: _OrderACF = ...
     ) -> ndarray[Any, dtype[_ScalarType]]: ...
     @overload
     def reshape(
@@ -3028,7 +3030,7 @@ class generic(_ArrayOrScalarCommon):
     def squeeze(
         self: _ScalarType, axis: Union[L[0], Tuple[()]] = ...
     ) -> _ScalarType: ...
-    def transpose(self: _ScalarType, __axes: Tuple[()] = ...) -> _ScalarType: ...
+    def transpose(self: _ScalarType, axes: Tuple[()] = ..., /) -> _ScalarType: ...
     # Keep `dtype` at the bottom to avoid name conflicts with `np.dtype`
     @property
     def dtype(self: _ScalarType) -> dtype[_ScalarType]: ...
@@ -3063,10 +3065,9 @@ class number(generic, Generic[_NBit1]):  # type: ignore
     __ge__: _ComparisonOp[_NumberLike_co, _ArrayLikeNumber_co]
 
 class bool_(generic):
-    def __init__(self, __value: object = ...) -> None: ...
+    def __init__(self, value: object = ..., /) -> None: ...
     def item(
-        self,
-        __args: Union[L[0], Tuple[()], Tuple[L[0]]] = ...,
+        self, args: L[0] | Tuple[()] | Tuple[L[0]] = ..., /,
     ) -> bool: ...
     def tolist(self) -> bool: ...
     @property
@@ -3112,7 +3113,7 @@ class bool_(generic):
 bool8 = bool_
 
 class object_(generic):
-    def __init__(self, __value: object = ...) -> None: ...
+    def __init__(self, value: object = ..., /) -> None: ...
     @property
     def real(self: _ArraySelf) -> _ArraySelf: ...
     @property
@@ -3141,14 +3142,16 @@ class datetime64(generic):
     @overload
     def __init__(
         self,
-        __value: Union[None, datetime64, _CharLike_co, _DatetimeScalar] = ...,
-        __format: Union[_CharLike_co, Tuple[_CharLike_co, _IntLike_co]] = ...,
+        value: None | datetime64 | _CharLike_co | _DatetimeScalar = ...,
+        format: _CharLike_co | Tuple[_CharLike_co, _IntLike_co] = ...,
+        /,
     ) -> None: ...
     @overload
     def __init__(
         self,
-        __value: int,
-        __format: Union[_CharLike_co, Tuple[_CharLike_co, _IntLike_co]]
+        value: int,
+        format: _CharLike_co | Tuple[_CharLike_co, _IntLike_co],
+        /,
     ) -> None: ...
     def __add__(self, other: _TD64Like_co) -> datetime64: ...
     def __radd__(self, other: _TD64Like_co) -> datetime64: ...
@@ -3186,8 +3189,7 @@ class integer(number[_NBit1]):  # type: ignore
     # NOTE: `__index__` is technically defined in the bottom-most
     # sub-classes (`int64`, `uint32`, etc)
     def item(
-        self,
-        __args: Union[L[0], Tuple[()], Tuple[L[0]]] = ...,
+        self, args: L[0] | Tuple[()] | Tuple[L[0]] = ..., /,
     ) -> int: ...
     def tolist(self) -> int: ...
     def __index__(self) -> int: ...
@@ -3209,7 +3211,7 @@ class integer(number[_NBit1]):  # type: ignore
     def __rxor__(self, other: _IntLike_co) -> integer: ...
 
 class signedinteger(integer[_NBit1]):
-    def __init__(self, __value: _IntValue = ...) -> None: ...
+    def __init__(self, value: _IntValue = ..., /) -> None: ...
     __add__: _SignedIntOp[_NBit1]
     __radd__: _SignedIntOp[_NBit1]
     __sub__: _SignedIntOp[_NBit1]
@@ -3253,8 +3255,9 @@ longlong = signedinteger[_NBitLongLong]
 class timedelta64(generic):
     def __init__(
         self,
-        __value: Union[None, int, _CharLike_co, dt.timedelta, timedelta64] = ...,
-        __format: Union[_CharLike_co, Tuple[_CharLike_co, _IntLike_co]] = ...,
+        value: None | int | _CharLike_co | dt.timedelta | timedelta64 = ...,
+        format: _CharLike_co | Tuple[_CharLike_co, _IntLike_co] = ...,
+        /,
     ) -> None: ...
     @property
     def numerator(self: _ScalarType) -> _ScalarType: ...
@@ -3290,7 +3293,7 @@ class timedelta64(generic):
 
 class unsignedinteger(integer[_NBit1]):
     # NOTE: `uint64 + signedinteger -> float64`
-    def __init__(self, __value: _IntValue = ...) -> None: ...
+    def __init__(self, value: _IntValue = ..., /) -> None: ...
     __add__: _UnsignedIntOp[_NBit1]
     __radd__: _UnsignedIntOp[_NBit1]
     __sub__: _UnsignedIntOp[_NBit1]
@@ -3336,23 +3339,23 @@ _IntType = TypeVar("_IntType", bound=integer)
 _FloatType = TypeVar('_FloatType', bound=floating)
 
 class floating(inexact[_NBit1]):
-    def __init__(self, __value: _FloatValue = ...) -> None: ...
+    def __init__(self, value: _FloatValue = ..., /) -> None: ...
     def item(
-        self,
-        __args: Union[L[0], Tuple[()], Tuple[L[0]]] = ...,
+        self, args: L[0] | Tuple[()] | Tuple[L[0]] = ...,
+        /,
     ) -> float: ...
     def tolist(self) -> float: ...
     def is_integer(self: float64) -> bool: ...
     def hex(self: float64) -> str: ...
     @classmethod
-    def fromhex(cls: Type[float64], __string: str) -> float64: ...
+    def fromhex(cls: Type[float64], string: str, /) -> float64: ...
     def as_integer_ratio(self) -> Tuple[int, int]: ...
     if sys.version_info >= (3, 9):
         def __ceil__(self: float64) -> int: ...
         def __floor__(self: float64) -> int: ...
     def __trunc__(self: float64) -> int: ...
     def __getnewargs__(self: float64) -> Tuple[float]: ...
-    def __getformat__(self: float64, __typestr: L["double", "float"]) -> str: ...
+    def __getformat__(self: float64, typestr: L["double", "float"], /) -> str: ...
     @overload
     def __round__(self, ndigits: None = ...) -> int: ...
     @overload
@@ -3390,10 +3393,9 @@ longfloat = floating[_NBitLongDouble]
 # describing the two 64 bit floats representing its real and imaginary component
 
 class complexfloating(inexact[_NBit1], Generic[_NBit1, _NBit2]):
-    def __init__(self, __value: _ComplexValue = ...) -> None: ...
+    def __init__(self, value: _ComplexValue = ..., /) -> None: ...
     def item(
-        self,
-        __args: Union[L[0], Tuple[()], Tuple[L[0]]] = ...,
+        self, args: L[0] | Tuple[()] | Tuple[L[0]] = ..., /,
     ) -> complex: ...
     def tolist(self) -> complex: ...
     @property
@@ -3433,7 +3435,7 @@ class flexible(generic): ...  # type: ignore
 # depending on whether or not it's used as an opaque bytes sequence
 # or a structure
 class void(flexible):
-    def __init__(self, __value: Union[_IntLike_co, bytes]) -> None: ...
+    def __init__(self, value: _IntLike_co | bytes, /) -> None: ...
     @property
     def real(self: _ArraySelf) -> _ArraySelf: ...
     @property
@@ -3455,14 +3457,13 @@ class character(flexible):  # type: ignore
 
 class bytes_(character, bytes):
     @overload
-    def __init__(self, __value: object = ...) -> None: ...
+    def __init__(self, value: object = ..., /) -> None: ...
     @overload
     def __init__(
-        self, __value: str, encoding: str = ..., errors: str = ...
+        self, value: str, /, encoding: str = ..., errors: str = ...
     ) -> None: ...
     def item(
-        self,
-        __args: Union[L[0], Tuple[()], Tuple[L[0]]] = ...,
+        self, args: L[0] | Tuple[()] | Tuple[L[0]] = ..., /,
     ) -> bytes: ...
     def tolist(self) -> bytes: ...
 
@@ -3471,14 +3472,13 @@ bytes0 = bytes_
 
 class str_(character, str):
     @overload
-    def __init__(self, __value: object = ...) -> None: ...
+    def __init__(self, value: object = ..., /) -> None: ...
     @overload
     def __init__(
-        self, __value: bytes, encoding: str = ..., errors: str = ...
+        self, value: bytes, /, encoding: str = ..., errors: str = ...
     ) -> None: ...
     def item(
-        self,
-        __args: Union[L[0], Tuple[()], Tuple[L[0]]] = ...,
+        self, args: L[0] | Tuple[()] | Tuple[L[0]] = ..., /,
     ) -> str: ...
     def tolist(self) -> str: ...
 
@@ -3712,9 +3712,10 @@ class errstate(Generic[_CallType], ContextDecorator):
     def __enter__(self) -> None: ...
     def __exit__(
         self,
-        __exc_type: Optional[Type[BaseException]],
-        __exc_value: Optional[BaseException],
-        __traceback: Optional[TracebackType],
+        exc_type: Optional[Type[BaseException]],
+        exc_value: Optional[BaseException],
+        traceback: Optional[TracebackType],
+        /,
     ) -> None: ...
 
 class ndenumerate(Generic[_ScalarType]):

numpy/core/_ufunc_config.pyi

@@ -4,7 +4,7 @@ _ErrKind = Literal["ignore", "warn", "raise", "call", "print", "log"]
 _ErrFunc = Callable[[str, int], Any]
 
 class _SupportsWrite(Protocol):
-    def write(self, __msg: str) -> Any: ...
+    def write(self, msg: str, /) -> Any: ...
 
 class _ErrDict(TypedDict):
     divide: _ErrKind