diff --git a/src/numpy-stubs/lib/_arrayterator_impl.pyi b/src/numpy-stubs/lib/_arrayterator_impl.pyi
index ca8906c9..ce4528c1 100644
--- a/src/numpy-stubs/lib/_arrayterator_impl.pyi
+++ b/src/numpy-stubs/lib/_arrayterator_impl.pyi
@@ -1,15 +1,19 @@
-from collections.abc import Generator, Iterator
+# pyright: reportIncompatibleMethodOverride=false
+
+from collections.abc import Generator
 from types import EllipsisType
-from typing import Any, Generic, TypeAlias
+from typing import Any, Final, Generic, TypeAlias
 from typing_extensions import TypeVar
 
 import numpy as np
 
 __all__ = ["Arrayterator"]
 
+###
+
 _ShapeT_co = TypeVar("_ShapeT_co", bound=tuple[int, ...], default=tuple[int, ...], covariant=True)
 _DTypeT_co = TypeVar("_DTypeT_co", bound=np.dtype[Any], default=np.dtype[Any], covariant=True)
-_SCT = TypeVar("_SCT", bound=np.generic)
+_ScalarT = TypeVar("_ScalarT", bound=np.generic)
 
 _AnyIndex: TypeAlias = EllipsisType | int | slice | tuple[EllipsisType | int | slice, ...]
 
@@ -19,18 +23,17 @@ _AnyIndex: TypeAlias = EllipsisType | int | slice | tuple[EllipsisType | int | s
 # former and thus has access to all its methods
 class Arrayterator(np.ndarray[_ShapeT_co, _DTypeT_co], Generic[_ShapeT_co, _DTypeT_co]):
     var: np.ndarray[_ShapeT_co, _DTypeT_co]  # type: ignore[assignment]
-    buf_size: int | None
-    start: list[int]
-    stop: list[int]
-    step: list[int]
+    buf_size: Final[int | None]
+    start: Final[list[int]]
+    stop: Final[list[int]]
+    step: Final[list[int]]
 
-    @property
+    @property  # type: ignore[misc]
     def shape(self) -> _ShapeT_co: ...
     @property
-    def flat(self: Arrayterator[Any, np.dtype[_SCT]]) -> Generator[_SCT]: ...
+    def flat(self: Arrayterator[Any, np.dtype[_ScalarT]]) -> Generator[_ScalarT]: ...  # type: ignore[override]
 
     #
-    def __init__(self, var: np.ndarray[_ShapeT_co, _DTypeT_co], buf_size: int | None = ...) -> None: ...
-    def __array__(self, dtype: None = ..., copy: bool | None = ...) -> np.ndarray[_ShapeT_co, _DTypeT_co]: ...
-    def __getitem__(self, index: _AnyIndex, /) -> Arrayterator[tuple[int, ...], _DTypeT_co]: ...
-    def __iter__(self) -> Iterator[np.ndarray[tuple[int, ...], _DTypeT_co]]: ...
+    def __init__(self, /, var: np.ndarray[_ShapeT_co, _DTypeT_co], buf_size: int | None = None) -> None: ...
+    def __getitem__(self, index: _AnyIndex, /) -> Arrayterator[tuple[int, ...], _DTypeT_co]: ...  # type: ignore[override]
+    def __iter__(self) -> Generator[np.ndarray[tuple[int, ...], _DTypeT_co]]: ...