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91 lines
3 KiB
Python
91 lines
3 KiB
Python
#!/usr/bin/env python
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from collections import Mapping
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import os
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import numpy as np
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import pytest
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import openmc.data
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def test_data_library(tmpdir):
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lib = openmc.data.DataLibrary.from_xml()
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for f in lib.libraries:
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assert sorted(f.keys()) == ['materials', 'path', 'type']
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f = lib.get_by_material('U235')
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assert f['type'] == 'neutron'
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assert 'U235' in f['materials']
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f = lib.get_by_material('c_H_in_H2O')
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assert f['type'] == 'thermal'
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assert 'c_H_in_H2O' in f['materials']
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filename = str(tmpdir.join('test.xml'))
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lib.export_to_xml(filename)
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assert os.path.exists(filename)
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new_lib = openmc.data.DataLibrary()
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directory = os.path.dirname(os.environ['OPENMC_CROSS_SECTIONS'])
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new_lib.register_file(os.path.join(directory, 'H1.h5'))
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assert new_lib.libraries[-1]['type'] == 'neutron'
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new_lib.register_file(os.path.join(directory, 'c_Zr_in_ZrH.h5'))
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assert new_lib.libraries[-1]['type'] == 'thermal'
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def test_linearize():
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"""Test linearization of a continuous function."""
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x, y = openmc.data.linearize([-1., 1.], lambda x: 1 - x*x)
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f = openmc.data.Tabulated1D(x, y)
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assert f(-0.5) == pytest.approx(1 - 0.5*0.5, 0.001)
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assert f(0.32) == pytest.approx(1 - 0.32*0.32, 0.001)
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def test_thin():
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"""Test thinning of a tabulated function."""
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x = np.linspace(0., 2*np.pi, 1000)
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y = np.sin(x)
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x_thin, y_thin = openmc.data.thin(x, y)
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f = openmc.data.Tabulated1D(x_thin, y_thin)
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assert f(1.0) == pytest.approx(np.sin(1.0), 0.001)
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def test_atomic_mass():
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assert openmc.data.atomic_mass('H1') == 1.00782503223
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assert openmc.data.atomic_mass('U235') == 235.043930131
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with pytest.raises(KeyError):
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openmc.data.atomic_mass('U100')
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def test_atomic_weight():
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assert openmc.data.atomic_weight('C') == 12.011115164862904
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with pytest.raises(ValueError):
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openmc.data.atomic_weight('Qt')
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def test_water_density():
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dens = openmc.data.water_density
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# These test values are from IAPWS R7-97(2012). They are actually specific
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# volumes so they need to be inverted. They also need to be divided by 1000
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# to convert from [kg / m^3] to [g / cm^3].
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assert dens(300.0, 3.0) == pytest.approx(1e-3/0.100215168e-2, 1e-6)
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assert dens(300.0, 80.0) == pytest.approx(1e-3/0.971180894e-3, 1e-6)
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assert dens(500.0, 3.0) == pytest.approx(1e-3/0.120241800e-2, 1e-6)
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def test_gnd_name():
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assert openmc.data.gnd_name(1, 1) == 'H1'
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assert openmc.data.gnd_name(40, 90) == ('Zr90')
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assert openmc.data.gnd_name(95, 242, 0) == ('Am242')
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assert openmc.data.gnd_name(95, 242, 1) == ('Am242_m1')
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assert openmc.data.gnd_name(95, 242, 10) == ('Am242_m10')
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def test_zam():
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assert openmc.data.zam('H1') == (1, 1, 0)
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assert openmc.data.zam('Zr90') == (40, 90, 0)
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assert openmc.data.zam('Am242') == (95, 242, 0)
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assert openmc.data.zam('Am242_m1') == (95, 242, 1)
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assert openmc.data.zam('Am242_m10') == (95, 242, 10)
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with pytest.raises(ValueError):
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openmc.data.zam('garbage')
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