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