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Direktori : /opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/lib/ |
Current File : //opt/cloudlinux/venv/lib64/python3.11/site-packages/numpy/lib/ufunclike.pyi |
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: ...