# pyright: reportIncompatibleMethodOverride=false
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from collections.abc import Generator
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from types import EllipsisType
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from typing import Any, Final, TypeAlias, overload
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from typing_extensions import TypeVar
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import numpy as np
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from numpy._typing import _AnyShape, _Shape
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__all__ = ["Arrayterator"]
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_ShapeT_co = TypeVar("_ShapeT_co", bound=_Shape, default=_AnyShape, covariant=True)
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_DTypeT = TypeVar("_DTypeT", bound=np.dtype)
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_DTypeT_co = TypeVar("_DTypeT_co", bound=np.dtype, default=np.dtype, covariant=True)
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_ScalarT = TypeVar("_ScalarT", bound=np.generic)
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_AnyIndex: TypeAlias = EllipsisType | int | slice | tuple[EllipsisType | int | slice, ...]
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# NOTE: In reality `Arrayterator` does not actually inherit from `ndarray`,
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# but its ``__getattr__` method does wrap around the former and thus has
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# access to all its methods
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class Arrayterator(np.ndarray[_ShapeT_co, _DTypeT_co]):
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var: np.ndarray[_ShapeT_co, _DTypeT_co] # type: ignore[assignment]
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buf_size: Final[int | None]
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start: Final[list[int]]
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stop: Final[list[int]]
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step: Final[list[int]]
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@property # type: ignore[misc]
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def shape(self) -> _ShapeT_co: ...
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@property
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def flat(self: Arrayterator[Any, np.dtype[_ScalarT]]) -> Generator[_ScalarT]: ... # type: ignore[override]
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#
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def __init__(self, /, var: np.ndarray[_ShapeT_co, _DTypeT_co], buf_size: int | None = None) -> None: ...
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def __getitem__(self, index: _AnyIndex, /) -> Arrayterator[_AnyShape, _DTypeT_co]: ... # type: ignore[override]
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def __iter__(self) -> Generator[np.ndarray[_AnyShape, _DTypeT_co]]: ...
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#
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@overload # type: ignore[override]
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def __array__(self, /, dtype: None = None, copy: bool | None = None) -> np.ndarray[_ShapeT_co, _DTypeT_co]: ...
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@overload
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def __array__(self, /, dtype: _DTypeT, copy: bool | None = None) -> np.ndarray[_ShapeT_co, _DTypeT]: ...
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