from typing import Any, overload, TypeVar
import numpy as np
from numpy import floating, object_
from numpy._typing import (
NDArray,
_FloatLike_co,
_ArrayLikeFloat_co,
_ArrayLikeObject_co,
)
_ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
__all__: list[str]
@overload
def fix( # type: ignore[misc]
x: _FloatLike_co,
out: None = ...,
) -> floating[Any]: ...
@overload
def fix(
x: _ArrayLikeFloat_co,
out: None = ...,
) -> NDArray[floating[Any]]: ...
@overload
def fix(
x: _ArrayLikeObject_co,
out: None = ...,
) -> NDArray[object_]: ...
@overload
def fix(
x: _ArrayLikeFloat_co | _ArrayLikeObject_co,
out: _ArrayType,
) -> _ArrayType: ...
@overload
def isposinf( # type: ignore[misc]
x: _FloatLike_co,
out: None = ...,
) -> np.bool: ...
@overload
def isposinf(
x: _ArrayLikeFloat_co,
out: None = ...,
) -> NDArray[np.bool]: ...
@overload
def isposinf(
x: _ArrayLikeFloat_co,
out: _ArrayType,
) -> _ArrayType: ...
@overload
def isneginf( # type: ignore[misc]
x: _FloatLike_co,
out: None = ...,
) -> np.bool: ...
@overload
def isneginf(
x: _ArrayLikeFloat_co,
out: None = ...,
) -> NDArray[np.bool]: ...
@overload
def isneginf(
x: _ArrayLikeFloat_co,
out: _ArrayType,
) -> _ArrayType: ...