Dane Sabo
3299181c70
M lazy-lock.json M lua/custom/configs/lspconfig.lua M lua/custom/init.lua A lua/custom/journal.lua A nvim_venv/bin/Activate.ps1 A nvim_venv/bin/activate A nvim_venv/bin/activate.csh A nvim_venv/bin/activate.fish
138 lines
3.1 KiB
Python
138 lines
3.1 KiB
Python
from collections.abc import Sequence
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from typing import Literal as L, TypeAlias
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from numpy import complex128, float64
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from numpy._typing import ArrayLike, NDArray, _ArrayLikeNumber_co
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__all__ = [
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"fft",
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"ifft",
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"rfft",
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"irfft",
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"hfft",
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"ihfft",
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"rfftn",
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"irfftn",
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"rfft2",
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"irfft2",
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"fft2",
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"ifft2",
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"fftn",
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"ifftn",
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]
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_NormKind: TypeAlias = L[None, "backward", "ortho", "forward"]
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def fft(
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a: ArrayLike,
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n: None | int = ...,
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axis: int = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def ifft(
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a: ArrayLike,
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n: None | int = ...,
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axis: int = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def rfft(
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a: ArrayLike,
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n: None | int = ...,
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axis: int = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def irfft(
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a: ArrayLike,
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n: None | int = ...,
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axis: int = ...,
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norm: _NormKind = ...,
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out: None | NDArray[float64] = ...,
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) -> NDArray[float64]: ...
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# Input array must be compatible with `np.conjugate`
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def hfft(
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a: _ArrayLikeNumber_co,
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n: None | int = ...,
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axis: int = ...,
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norm: _NormKind = ...,
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out: None | NDArray[float64] = ...,
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) -> NDArray[float64]: ...
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def ihfft(
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a: ArrayLike,
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n: None | int = ...,
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axis: int = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def fftn(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def ifftn(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def rfftn(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def irfftn(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[float64] = ...,
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) -> NDArray[float64]: ...
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def fft2(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def ifft2(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def rfft2(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[complex128] = ...,
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) -> NDArray[complex128]: ...
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def irfft2(
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a: ArrayLike,
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s: None | Sequence[int] = ...,
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axes: None | Sequence[int] = ...,
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norm: _NormKind = ...,
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out: None | NDArray[float64] = ...,
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) -> NDArray[float64]: ...
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