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a8171cbd4e
Co-authored-by: Ethan Krammer <ethan@DESKTOP-MGFGK9N> Co-authored-by: John Tramm <john.tramm@gmail.com>
33 lines
1.1 KiB
Python
33 lines
1.1 KiB
Python
import glob
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import os
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from openmc import StatePoint
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from tests.testing_harness import TestHarness
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class EntropyTestHarness(TestHarness):
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def _get_results(self):
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"""Digest info in the statepoint and return as a string."""
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# Read the statepoint file.
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statepoint = glob.glob(os.path.join(os.getcwd(), self._sp_name))[0]
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with StatePoint(statepoint) as sp:
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# Write out k-combined.
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outstr = 'k-combined:\n'
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outstr += '{:12.6E} {:12.6E}\n'.format(sp.keff.n, sp.keff.s)
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# Write out entropy data.
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outstr += 'entropy:\n'
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results = ['{:12.6E}'.format(x) for x in sp.entropy]
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outstr += '\n'.join(results) + '\n'
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return outstr
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'''
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# This test is adapted from "Monte Carlo power iteration: Entropy and spatial correlations,"
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M. Nowak et al. The cross sections are defined explicitly so that the value for entropy
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is exactly 9 and the eigenvalue is exactly 1.
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'''
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def test_entropy():
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harness = EntropyTestHarness('statepoint.10.h5')
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harness.main()
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