neovim/typings/numpy/lib/arrayterator.pyi

48 lines
1.3 KiB
Python
Raw Normal View History

2023-10-24 22:54:55 -04:00
"""
This type stub file was generated by pyright.
"""
from collections.abc import Generator
from typing import Any, TypeVar, Union, overload
from numpy import dtype, generic, ndarray
from numpy._typing import DTypeLike
_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]
class Arrayterator(ndarray[_Shape, _DType]):
var: ndarray[_Shape, _DType]
buf_size: None | int
start: list[int]
stop: list[int]
step: list[int]
@property
def shape(self) -> tuple[int, ...]:
...
@property
def flat(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]:
...