ai-content-maker/.venv/Lib/site-packages/numpy/lib/ufunclike.pyi

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2024-05-03 04:18:51 +03:00
from typing import Any, overload, TypeVar
from numpy import floating, bool_, object_, ndarray
from numpy._typing import (
NDArray,
_FloatLike_co,
_ArrayLikeFloat_co,
_ArrayLikeObject_co,
)
_ArrayType = TypeVar("_ArrayType", bound=ndarray[Any, 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 = ...,
) -> bool_: ...
@overload
def isposinf(
x: _ArrayLikeFloat_co,
out: None = ...,
) -> NDArray[bool_]: ...
@overload
def isposinf(
x: _ArrayLikeFloat_co,
out: _ArrayType,
) -> _ArrayType: ...
@overload
def isneginf( # type: ignore[misc]
x: _FloatLike_co,
out: None = ...,
) -> bool_: ...
@overload
def isneginf(
x: _ArrayLikeFloat_co,
out: None = ...,
) -> NDArray[bool_]: ...
@overload
def isneginf(
x: _ArrayLikeFloat_co,
out: _ArrayType,
) -> _ArrayType: ...