Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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35 lines
1.5 KiB
35 lines
1.5 KiB
from numpy.testing import assert_equal, assert_allclose
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import scipy.constants as sc
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def test_convert_temperature():
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assert_equal(sc.convert_temperature(32, 'f', 'Celsius'), 0)
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assert_equal(sc.convert_temperature([0, 0], 'celsius', 'Kelvin'),
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[273.15, 273.15])
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assert_equal(sc.convert_temperature([0, 0], 'kelvin', 'c'),
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[-273.15, -273.15])
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assert_equal(sc.convert_temperature([32, 32], 'f', 'k'), [273.15, 273.15])
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assert_equal(sc.convert_temperature([273.15, 273.15], 'kelvin', 'F'),
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[32, 32])
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assert_equal(sc.convert_temperature([0, 0], 'C', 'fahrenheit'), [32, 32])
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assert_allclose(sc.convert_temperature([0, 0], 'c', 'r'), [491.67, 491.67],
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rtol=0., atol=1e-13)
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assert_allclose(sc.convert_temperature([491.67, 491.67], 'Rankine', 'C'),
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[0., 0.], rtol=0., atol=1e-13)
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assert_allclose(sc.convert_temperature([491.67, 491.67], 'r', 'F'),
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[32., 32.], rtol=0., atol=1e-13)
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assert_allclose(sc.convert_temperature([32, 32], 'fahrenheit', 'R'),
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[491.67, 491.67], rtol=0., atol=1e-13)
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assert_allclose(sc.convert_temperature([273.15, 273.15], 'K', 'R'),
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[491.67, 491.67], rtol=0., atol=1e-13)
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assert_allclose(sc.convert_temperature([491.67, 0.], 'rankine', 'kelvin'),
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[273.15, 0.], rtol=0., atol=1e-13)
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def test_lambda_to_nu():
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assert_equal(sc.lambda2nu(sc.speed_of_light), 1)
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def test_nu_to_lambda():
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assert_equal(sc.nu2lambda(1), sc.speed_of_light)
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