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Co-authored-by: John Tramm <jtramm@gmail.com> Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com> Co-authored-by: Paul Romano <paul.k.romano@gmail.com>
55 lines
1.6 KiB
Python
55 lines
1.6 KiB
Python
import os
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import openmc
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from openmc.examples import pwr_pin_cell
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from openmc import RegularMesh
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from openmc.utility_funcs import change_directory
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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("method", ["material_wise", "stochastic_slab", "infinite_medium"])
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def test_random_ray_auto_convert(method):
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with change_directory(method):
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openmc.reset_auto_ids()
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# Start with a normal continuous energy model
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model = pwr_pin_cell()
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# Convert to a multi-group model
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model.convert_to_multigroup(
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method=method, groups='CASMO-2',
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particles=100,
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overwrite_mgxs_library=False, mgxs_path="mgxs.h5"
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)
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# Convert to a random ray model
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model.convert_to_random_ray()
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# Set the number of particles
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model.settings.particles = 100
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# Overlay a basic 2x2 mesh
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n = 2
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mesh = RegularMesh()
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mesh.dimension = (n, n)
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bbox = model.geometry.bounding_box
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mesh.lower_left = (bbox.lower_left[0], bbox.lower_left[1])
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mesh.upper_right = (bbox.upper_right[0], bbox.upper_right[1])
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model.settings.random_ray['source_region_meshes'] = [
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(mesh, [model.geometry.root_universe])]
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# Set the source shape to linear
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model.settings.random_ray['source_shape'] = 'linear'
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harness = MGXSTestHarness('statepoint.10.h5', model)
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harness.main()
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