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/proc/thread-self/root/opt/cloudlinux/venv/lib/python3.11/site-packages/numpy/fft/_pocketfft.pyi

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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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Name	Size	Perms	Modified	Actions
tests DIR	-	drwxr-xr-x	2026-02-06 08:01:08	Edit Download recursive recursive
__pycache__ DIR	-	drwxr-xr-x	2026-02-06 08:07:28	Edit Download recursive recursive
helper.py	6.01 KB	lrw-r--r--	2026-01-20 13:01:48	Edit Download recursive recursive
helper.pyi	1.15 KB	lrw-r--r--	2026-01-20 13:01:48	Edit Download recursive recursive
setup.py	728 B	lrw-r--r--	2026-01-20 13:01:48	Edit Download recursive recursive
_pocketfft.py	51.66 KB	lrw-r--r--	2026-01-20 13:01:48	Edit Download recursive recursive
_pocketfft.pyi	2.32 KB	lrw-r--r--	2026-01-20 13:01:48	Edit Download recursive recursive
_pocketfft_internal.cpython-311-x86_64-linux-gnu.so	94.64 KB	lrwxr-xr-x	2026-01-20 13:18:47	Edit Download recursive recursive
__init__.py	7.98 KB	lrw-r--r--	2026-01-20 13:01:48	Edit Download recursive recursive
__init__.pyi	550 B	lrw-r--r--	2026-01-20 13:01:48	Edit Download recursive recursive

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