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🐛 fix typing errors in numpy.lib._arrayterator_impl #165

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Merged
jorenham merged 1 commit into from
Feb 22, 2025
Merged

🐛 fix typing errors in numpy.lib._arrayterator_impl #165

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29 changes: 16 additions & 13 deletions src/numpy-stubs/lib/_arrayterator_impl.pyi
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Original file line number Diff line number Diff line change
@@ -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, ...]

Expand All @@ -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]]: ...
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