Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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88 lines
3.8 KiB
88 lines
3.8 KiB
4 years ago
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import numpy as np
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import scipy.fft
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from scipy.fft import set_backend
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from scipy.fft import _pocketfft
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from scipy.fft.tests import mock_backend
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from numpy.testing import assert_allclose, assert_equal
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import pytest
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fnames = ('fft', 'fft2', 'fftn',
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'ifft', 'ifft2', 'ifftn',
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'rfft', 'rfft2', 'rfftn',
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'irfft', 'irfft2', 'irfftn',
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'dct', 'idct', 'dctn', 'idctn',
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'dst', 'idst', 'dstn', 'idstn')
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np_funcs = (np.fft.fft, np.fft.fft2, np.fft.fftn,
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np.fft.ifft, np.fft.ifft2, np.fft.ifftn,
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np.fft.rfft, np.fft.rfft2, np.fft.rfftn,
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np.fft.irfft, np.fft.irfft2, np.fft.irfftn,
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np.fft.hfft, _pocketfft.hfft2, _pocketfft.hfftn, # np has no hfftn
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np.fft.ihfft, _pocketfft.ihfft2, _pocketfft.ihfftn,
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_pocketfft.dct, _pocketfft.idct, _pocketfft.dctn, _pocketfft.idctn,
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_pocketfft.dst, _pocketfft.idst, _pocketfft.dstn, _pocketfft.idstn)
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funcs = (scipy.fft.fft, scipy.fft.fft2, scipy.fft.fftn,
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scipy.fft.ifft, scipy.fft.ifft2, scipy.fft.ifftn,
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scipy.fft.rfft, scipy.fft.rfft2, scipy.fft.rfftn,
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scipy.fft.irfft, scipy.fft.irfft2, scipy.fft.irfftn,
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scipy.fft.hfft, scipy.fft.hfft2, scipy.fft.hfftn,
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scipy.fft.ihfft, scipy.fft.ihfft2, scipy.fft.ihfftn,
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scipy.fft.dct, scipy.fft.idct, scipy.fft.dctn, scipy.fft.idctn,
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scipy.fft.dst, scipy.fft.idst, scipy.fft.dstn, scipy.fft.idstn)
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mocks = (mock_backend.fft, mock_backend.fft2, mock_backend.fftn,
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mock_backend.ifft, mock_backend.ifft2, mock_backend.ifftn,
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mock_backend.rfft, mock_backend.rfft2, mock_backend.rfftn,
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mock_backend.irfft, mock_backend.irfft2, mock_backend.irfftn,
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mock_backend.hfft, mock_backend.hfft2, mock_backend.hfftn,
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mock_backend.ihfft, mock_backend.ihfft2, mock_backend.ihfftn,
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mock_backend.dct, mock_backend.idct, mock_backend.dctn, mock_backend.idctn,
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mock_backend.dst, mock_backend.idst, mock_backend.dstn, mock_backend.idstn)
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@pytest.mark.parametrize("func, np_func, mock", zip(funcs, np_funcs, mocks))
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def test_backend_call(func, np_func, mock):
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x = np.arange(20).reshape((10,2))
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answer = np_func(x)
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assert_allclose(func(x), answer, atol=1e-10)
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with set_backend(mock_backend, only=True):
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mock.number_calls = 0
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y = func(x)
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assert_equal(y, mock.return_value)
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assert_equal(mock.number_calls, 1)
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assert_allclose(func(x), answer, atol=1e-10)
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plan_funcs = (scipy.fft.fft, scipy.fft.fft2, scipy.fft.fftn,
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scipy.fft.ifft, scipy.fft.ifft2, scipy.fft.ifftn,
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scipy.fft.rfft, scipy.fft.rfft2, scipy.fft.rfftn,
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scipy.fft.irfft, scipy.fft.irfft2, scipy.fft.irfftn,
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scipy.fft.hfft, scipy.fft.hfft2, scipy.fft.hfftn,
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scipy.fft.ihfft, scipy.fft.ihfft2, scipy.fft.ihfftn)
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plan_mocks = (mock_backend.fft, mock_backend.fft2, mock_backend.fftn,
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mock_backend.ifft, mock_backend.ifft2, mock_backend.ifftn,
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mock_backend.rfft, mock_backend.rfft2, mock_backend.rfftn,
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mock_backend.irfft, mock_backend.irfft2, mock_backend.irfftn,
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mock_backend.hfft, mock_backend.hfft2, mock_backend.hfftn,
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mock_backend.ihfft, mock_backend.ihfft2, mock_backend.ihfftn)
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@pytest.mark.parametrize("func, mock", zip(plan_funcs, plan_mocks))
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def test_backend_plan(func, mock):
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x = np.arange(20).reshape((10, 2))
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with pytest.raises(NotImplementedError, match='precomputed plan'):
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func(x, plan='foo')
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with set_backend(mock_backend, only=True):
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mock.number_calls = 0
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y = func(x, plan='foo')
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assert_equal(y, mock.return_value)
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assert_equal(mock.number_calls, 1)
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assert_equal(mock.last_args[1]['plan'], 'foo')
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