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/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/fft

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File/Folder	Size	Actions
__init__.py	7.98 KB	Del OK
__init__.pyi	550 B	Del OK
__pycache__	-	Del OK
_pocketfft.py	51.66 KB	Del OK
_pocketfft.pyi	2.32 KB	Del OK
_pocketfft_internal.cpython-311-x86_64-linux-gnu.so	94.76 KB	Del OK
helper.py	6.01 KB	Del OK
helper.pyi	1.15 KB	Del OK
setup.py	728 B	Del OK
tests	-	Del OK

Edit: _pocketfft.pyi

from collections.abc import Sequence from typing import Literal as L 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]: ...
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