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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]: ...
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