36 lines
1.8 KiB
Python
36 lines
1.8 KiB
Python
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import numpy as np
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import numpy.typing as npt
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AR_f8: npt.NDArray[np.float64]
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AR_c16: npt.NDArray[np.complex128]
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AR_LIKE_f8: list[float]
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reveal_type(np.fft.fftshift(AR_f8)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(np.fft.fftshift(AR_LIKE_f8, axes=0)) # E: ndarray[Any, dtype[Any]]
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reveal_type(np.fft.ifftshift(AR_f8)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(np.fft.ifftshift(AR_LIKE_f8, axes=0)) # E: ndarray[Any, dtype[Any]]
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reveal_type(np.fft.fftfreq(5, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.fft.fftfreq(np.int64(), AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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reveal_type(np.fft.fftfreq(5, AR_f8)) # E: ndarray[Any, dtype[floating[Any]]]
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reveal_type(np.fft.fftfreq(np.int64(), AR_c16)) # E: ndarray[Any, dtype[complexfloating[Any, Any]]]
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reveal_type(np.fft.fft(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.ifft(AR_f8, axis=1)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.rfft(AR_f8, n=None)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.irfft(AR_f8, norm="ortho")) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(np.fft.hfft(AR_f8, n=2)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(np.fft.ihfft(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.fftn(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.ifftn(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.rfftn(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.irfftn(AR_f8)) # E: ndarray[Any, dtype[{float64}]]
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reveal_type(np.fft.rfft2(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.ifft2(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.fft2(AR_f8)) # E: ndarray[Any, dtype[{complex128}]]
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reveal_type(np.fft.irfft2(AR_f8)) # E: ndarray[Any, dtype[{float64}]]
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