Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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115 lines
3.5 KiB
115 lines
3.5 KiB
"""
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==============================================
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Discrete Fourier transforms (:mod:`scipy.fft`)
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==============================================
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.. currentmodule:: scipy.fft
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Fast Fourier Transforms (FFTs)
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==============================
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.. autosummary::
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:toctree: generated/
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fft - Fast (discrete) Fourier Transform (FFT)
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ifft - Inverse FFT
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fft2 - 2-D FFT
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ifft2 - 2-D inverse FFT
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fftn - N-D FFT
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ifftn - N-D inverse FFT
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rfft - FFT of strictly real-valued sequence
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irfft - Inverse of rfft
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rfft2 - 2-D FFT of real sequence
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irfft2 - Inverse of rfft2
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rfftn - N-D FFT of real sequence
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irfftn - Inverse of rfftn
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hfft - FFT of a Hermitian sequence (real spectrum)
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ihfft - Inverse of hfft
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hfft2 - 2-D FFT of a Hermitian sequence
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ihfft2 - Inverse of hfft2
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hfftn - N-D FFT of a Hermitian sequence
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ihfftn - Inverse of hfftn
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Discrete Sin and Cosine Transforms (DST and DCT)
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================================================
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.. autosummary::
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:toctree: generated/
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dct - Discrete cosine transform
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idct - Inverse discrete cosine transform
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dctn - N-D Discrete cosine transform
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idctn - N-D Inverse discrete cosine transform
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dst - Discrete sine transform
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idst - Inverse discrete sine transform
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dstn - N-D Discrete sine transform
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idstn - N-D Inverse discrete sine transform
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Helper functions
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================
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.. autosummary::
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:toctree: generated/
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fftshift - Shift the zero-frequency component to the center of the spectrum
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ifftshift - The inverse of `fftshift`
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fftfreq - Return the Discrete Fourier Transform sample frequencies
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rfftfreq - DFT sample frequencies (for usage with rfft, irfft)
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next_fast_len - Find the optimal length to zero-pad an FFT for speed
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set_workers - Context manager to set default number of workers
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get_workers - Get the current default number of workers
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Backend control
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===============
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.. autosummary::
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:toctree: generated/
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set_backend - Context manager to set the backend within a fixed scope
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skip_backend - Context manager to skip a backend within a fixed scope
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set_global_backend - Sets the global fft backend
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register_backend - Register a backend for permanent use
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"""
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from ._basic import (
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fft, ifft, fft2, ifft2, fftn, ifftn,
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rfft, irfft, rfft2, irfft2, rfftn, irfftn,
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hfft, ihfft, hfft2, ihfft2, hfftn, ihfftn)
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from ._realtransforms import dct, idct, dst, idst, dctn, idctn, dstn, idstn
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from ._helper import next_fast_len
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from ._backend import (set_backend, skip_backend, set_global_backend,
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register_backend)
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from numpy.fft import fftfreq, rfftfreq, fftshift, ifftshift
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from ._pocketfft.helper import set_workers, get_workers
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__all__ = [
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'fft', 'ifft', 'fft2','ifft2', 'fftn', 'ifftn',
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'rfft', 'irfft', 'rfft2', 'irfft2', 'rfftn', 'irfftn',
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'hfft', 'ihfft', 'hfft2', 'ihfft2', 'hfftn', 'ihfftn',
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'fftfreq', 'rfftfreq', 'fftshift', 'ifftshift',
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'next_fast_len',
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'dct', 'idct', 'dst', 'idst', 'dctn', 'idctn', 'dstn', 'idstn',
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'set_backend', 'skip_backend', 'set_global_backend', 'register_backend',
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'get_workers', 'set_workers']
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from scipy._lib._testutils import PytestTester
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test = PytestTester(__name__)
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del PytestTester
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# Hack to allow numpy.fft.fft to be called as scipy.fft
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import sys
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class _FFTModule(sys.modules[__name__].__class__):
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@staticmethod
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def __call__(*args, **kwargs):
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from scipy import _dep_fft
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return _dep_fft(*args, **kwargs)
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import os
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if os.environ.get('_SCIPY_BUILDING_DOC') != 'True':
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sys.modules[__name__].__class__ = _FFTModule
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del os
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del _FFTModule
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del sys
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