Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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58 lines
1.9 KiB
58 lines
1.9 KiB
4 years ago
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from scipy.constants import constants, codata, find, value, ConstantWarning
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from numpy.testing import (assert_equal, assert_, assert_almost_equal,
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suppress_warnings)
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def test_find():
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keys = find('weak mixing', disp=False)
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assert_equal(keys, ['weak mixing angle'])
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keys = find('qwertyuiop', disp=False)
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assert_equal(keys, [])
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keys = find('natural unit', disp=False)
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assert_equal(keys, sorted(['natural unit of velocity',
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'natural unit of action',
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'natural unit of action in eV s',
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'natural unit of mass',
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'natural unit of energy',
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'natural unit of energy in MeV',
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'natural unit of momentum',
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'natural unit of momentum in MeV/c',
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'natural unit of length',
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'natural unit of time']))
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def test_basic_table_parse():
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c = 'speed of light in vacuum'
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assert_equal(codata.value(c), constants.c)
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assert_equal(codata.value(c), constants.speed_of_light)
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def test_basic_lookup():
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assert_equal('%d %s' % (codata.c, codata.unit('speed of light in vacuum')),
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'299792458 m s^-1')
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def test_find_all():
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assert_(len(codata.find(disp=False)) > 300)
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def test_find_single():
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assert_equal(codata.find('Wien freq', disp=False)[0],
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'Wien frequency displacement law constant')
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def test_2002_vs_2006():
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assert_almost_equal(codata.value('magn. flux quantum'),
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codata.value('mag. flux quantum'))
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def test_exact_values():
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# Check that updating stored values with exact ones worked.
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with suppress_warnings() as sup:
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sup.filter(ConstantWarning)
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for key in codata.exact_values:
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assert_((codata.exact_values[key][0] - value(key)) / value(key) == 0)
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