You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
49 lines
1.5 KiB
49 lines
1.5 KiB
from collections.abc import Generator
|
|
from typing import (
|
|
Any,
|
|
TypeVar,
|
|
Union,
|
|
overload,
|
|
)
|
|
|
|
from numpy import ndarray, dtype, generic
|
|
from numpy._typing import DTypeLike
|
|
|
|
# TODO: Set a shape bound once we've got proper shape support
|
|
_Shape = TypeVar("_Shape", bound=Any)
|
|
_DType = TypeVar("_DType", bound=dtype[Any])
|
|
_ScalarType = TypeVar("_ScalarType", bound=generic)
|
|
|
|
_Index = Union[
|
|
Union[ellipsis, int, slice],
|
|
tuple[Union[ellipsis, int, slice], ...],
|
|
]
|
|
|
|
__all__: list[str]
|
|
|
|
# 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(ndarray[_Shape, _DType]):
|
|
var: ndarray[_Shape, _DType] # type: ignore[assignment]
|
|
buf_size: None | int
|
|
start: list[int]
|
|
stop: list[int]
|
|
step: list[int]
|
|
|
|
@property # type: ignore[misc]
|
|
def shape(self) -> tuple[int, ...]: ...
|
|
@property
|
|
def flat( # type: ignore[override]
|
|
self: ndarray[Any, dtype[_ScalarType]]
|
|
) -> Generator[_ScalarType, None, None]: ...
|
|
def __init__(
|
|
self, var: ndarray[_Shape, _DType], buf_size: None | int = ...
|
|
) -> None: ...
|
|
@overload
|
|
def __array__(self, dtype: None = ...) -> ndarray[Any, _DType]: ...
|
|
@overload
|
|
def __array__(self, dtype: DTypeLike) -> ndarray[Any, dtype[Any]]: ...
|
|
def __getitem__(self, index: _Index) -> Arrayterator[Any, _DType]: ...
|
|
def __iter__(self) -> Generator[ndarray[Any, _DType], None, None]: ...
|
|
|