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