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- from typing import Any, Final, TypeVar, overload
- from typing import Literal as L
- from numpy import complexfloating, floating, generic, integer
- from numpy._typing import (
- ArrayLike,
- NDArray,
- _ArrayLike,
- _ArrayLikeComplex_co,
- _ArrayLikeFloat_co,
- _ShapeLike,
- )
- __all__ = ["fftfreq", "fftshift", "ifftshift", "rfftfreq"]
- _ScalarT = TypeVar("_ScalarT", bound=generic)
- ###
- integer_types: Final[tuple[type[int], type[integer]]] = ...
- ###
- @overload
- def fftshift(x: _ArrayLike[_ScalarT], axes: _ShapeLike | None = None) -> NDArray[_ScalarT]: ...
- @overload
- def fftshift(x: ArrayLike, axes: _ShapeLike | None = None) -> NDArray[Any]: ...
- #
- @overload
- def ifftshift(x: _ArrayLike[_ScalarT], axes: _ShapeLike | None = None) -> NDArray[_ScalarT]: ...
- @overload
- def ifftshift(x: ArrayLike, axes: _ShapeLike | None = None) -> NDArray[Any]: ...
- #
- @overload
- def fftfreq(n: int | integer, d: _ArrayLikeFloat_co = 1.0, device: L["cpu"] | None = None) -> NDArray[floating]: ...
- @overload
- def fftfreq(n: int | integer, d: _ArrayLikeComplex_co = 1.0, device: L["cpu"] | None = None) -> NDArray[complexfloating]: ...
- #
- @overload
- def rfftfreq(n: int | integer, d: _ArrayLikeFloat_co = 1.0, device: L["cpu"] | None = None) -> NDArray[floating]: ...
- @overload
- def rfftfreq(n: int | integer, d: _ArrayLikeComplex_co = 1.0, device: L["cpu"] | None = None) -> NDArray[complexfloating]: ...
|
