from typing import ( Literal as L, Sequence, ) from numpy import complex128, float64 from numpy.typing import ArrayLike, NDArray, _ArrayLikeNumber_co _NormKind = L[None, "backward", "ortho", "forward"] __all__: list[str] def fft( a: ArrayLike, n: None | int = ..., axis: int = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def ifft( a: ArrayLike, n: None | int = ..., axis: int = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def rfft( a: ArrayLike, n: None | int = ..., axis: int = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def irfft( a: ArrayLike, n: None | int = ..., axis: int = ..., norm: _NormKind = ..., ) -> NDArray[float64]: ... # Input array must be compatible with `np.conjugate` def hfft( a: _ArrayLikeNumber_co, n: None | int = ..., axis: int = ..., norm: _NormKind = ..., ) -> NDArray[float64]: ... def ihfft( a: ArrayLike, n: None | int = ..., axis: int = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def fftn( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def ifftn( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def rfftn( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def irfftn( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[float64]: ... def fft2( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def ifft2( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def rfft2( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[complex128]: ... def irfft2( a: ArrayLike, s: None | Sequence[int] = ..., axes: None | Sequence[int] = ..., norm: _NormKind = ..., ) -> NDArray[float64]: ...