109 lines
2.3 KiB
Python
109 lines
2.3 KiB
Python
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from collections.abc import Sequence
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from typing import Literal as L
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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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_NormKind = L[None, "backward", "ortho", "forward"]
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__all__: list[str]
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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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> 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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) -> NDArray[float64]: ...
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