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- 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,
- )
- __all__ = ["fix", "isneginf", "isposinf"]
- _ArrayType = TypeVar("_ArrayType", bound=NDArray[Any])
- @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: ...
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