Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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84 lines
2.1 KiB
84 lines
2.1 KiB
4 years ago
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from scipy import fft
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import numpy as np
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import pytest
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from numpy.testing import assert_allclose
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import multiprocessing
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import os
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@pytest.fixture(scope='module')
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def x():
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return np.random.randn(512, 128) # Must be large enough to qualify for mt
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@pytest.mark.parametrize("func", [
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fft.fft, fft.ifft, fft.fft2, fft.ifft2, fft.fftn, fft.ifftn,
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fft.rfft, fft.irfft, fft.rfft2, fft.irfft2, fft.rfftn, fft.irfftn,
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fft.hfft, fft.ihfft, fft.hfft2, fft.ihfft2, fft.hfftn, fft.ihfftn,
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fft.dct, fft.idct, fft.dctn, fft.idctn,
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fft.dst, fft.idst, fft.dstn, fft.idstn,
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])
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@pytest.mark.parametrize("workers", [2, -1])
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def test_threaded_same(x, func, workers):
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expected = func(x, workers=1)
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actual = func(x, workers=workers)
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assert_allclose(actual, expected)
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def _mt_fft(x):
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return fft.fft(x, workers=2)
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def test_mixed_threads_processes(x):
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# Test that the fft threadpool is safe to use before & after fork
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expect = fft.fft(x, workers=2)
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with multiprocessing.Pool(2) as p:
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res = p.map(_mt_fft, [x for _ in range(4)])
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for r in res:
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assert_allclose(r, expect)
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fft.fft(x, workers=2)
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def test_invalid_workers(x):
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cpus = os.cpu_count()
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fft.ifft([1], workers=-cpus)
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with pytest.raises(ValueError, match='workers must not be zero'):
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fft.fft(x, workers=0)
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with pytest.raises(ValueError, match='workers value out of range'):
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fft.ifft(x, workers=-cpus-1)
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def test_set_get_workers():
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cpus = os.cpu_count()
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assert fft.get_workers() == 1
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with fft.set_workers(4):
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assert fft.get_workers() == 4
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with fft.set_workers(-1):
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assert fft.get_workers() == cpus
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assert fft.get_workers() == 4
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assert fft.get_workers() == 1
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with fft.set_workers(-cpus):
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assert fft.get_workers() == 1
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def test_set_workers_invalid():
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with pytest.raises(ValueError, match='workers must not be zero'):
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with fft.set_workers(0):
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pass
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with pytest.raises(ValueError, match='workers value out of range'):
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with fft.set_workers(-os.cpu_count()-1):
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pass
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