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72 lines
2.5 KiB
Python
72 lines
2.5 KiB
Python
import os
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import openmc
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from openmc.utility_funcs import change_directory
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from openmc.examples import random_ray_three_region_cube
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import pytest
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from tests.testing_harness import TolerantPyAPITestHarness
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class MGXSTestHarness(TolerantPyAPITestHarness):
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def _cleanup(self):
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super()._cleanup()
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f = 'mgxs.h5'
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if os.path.exists(f):
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os.remove(f)
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@pytest.mark.parametrize("shape", ["flat", "linear"])
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def test_random_ray_void(shape):
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with change_directory(shape):
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openmc.reset_auto_ids()
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model = random_ray_three_region_cube()
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# There is some different logic for void depending on linear
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# vs. flat, so we test both
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model.settings.random_ray['source_shape'] = shape
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# As we are testing linear sources, need to have more than
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# 10 inactive batches so the moments start getting computed
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model.settings.inactive = 20
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model.settings.batches = 40
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# Begin by getting handles to the cells, and setting the
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# source and void areas to have no fill. We leave the absorber
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# as solid.
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absorber_cell = model.geometry.get_cells_by_name(
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'infinite absorber region', matching=True)[0]
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void_cell = model.geometry.get_cells_by_name(
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'infinite void region', matching=True)[0]
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source_cell = model.geometry.get_cells_by_name(
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'infinite source region', matching=True)[0]
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void_cell.fill = None
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source_cell.fill = None
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# We also need to redefine all three tallies to use cell
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# filters instead of material ones
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estimator = 'tracklength'
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absorber_filter = openmc.CellFilter(absorber_cell)
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absorber_tally = openmc.Tally(name="Absorber Tally")
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absorber_tally.filters = [absorber_filter]
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absorber_tally.scores = ['flux']
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absorber_tally.estimator = estimator
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void_filter = openmc.CellFilter(void_cell)
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void_tally = openmc.Tally(name="Void Tally")
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void_tally.filters = [void_filter]
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void_tally.scores = ['flux']
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void_tally.estimator = estimator
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source_filter = openmc.CellFilter(source_cell)
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source_tally = openmc.Tally(name="Source Tally")
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source_tally.filters = [source_filter]
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source_tally.scores = ['flux']
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source_tally.estimator = estimator
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tallies = openmc.Tallies([source_tally, void_tally, absorber_tally])
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model.tallies = tallies
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harness = MGXSTestHarness('statepoint.40.h5', model)
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harness.main()
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