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64 lines
2.1 KiB
Python
64 lines
2.1 KiB
Python
import hashlib
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import openmc
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import openmc.mgxs
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from openmc.examples import pwr_pin_cell
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from tests.testing_harness import PyAPITestHarness
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class MGXSTestHarness(PyAPITestHarness):
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def __init__(self, *args, **kwargs):
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# Generate inputs using parent class routine
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super().__init__(*args, **kwargs)
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# Initialize a two-group structure
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energy_groups = openmc.mgxs.EnergyGroups(group_edges=[0, 0.625, 20.e6])
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# Initialize MGXS Library for a few cross section types
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self.mgxs_lib = openmc.mgxs.Library(self._model.geometry)
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self.mgxs_lib.by_nuclide = False
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# Test all MGXS types
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self.mgxs_lib.mgxs_types = ['scatter matrix', 'nu-scatter matrix',
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'consistent scatter matrix',
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'consistent nu-scatter matrix']
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self.mgxs_lib.energy_groups = energy_groups
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self.mgxs_lib.scatter_format = 'histogram'
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self.mgxs_lib.histogram_bins = 11
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self.mgxs_lib.domain_type = 'material'
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self.mgxs_lib.build_library()
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# Add tallies
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self.mgxs_lib.add_to_tallies(self._model.tallies, merge=False)
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def _get_results(self, hash_output=False):
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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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sp = openmc.StatePoint(self._sp_name)
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# Load the MGXS library from the statepoint
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self.mgxs_lib.load_from_statepoint(sp)
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# Build a string from Pandas Dataframe for each MGXS
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outstr = ''
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for domain in self.mgxs_lib.domains:
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for mgxs_type in self.mgxs_lib.mgxs_types:
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mgxs = self.mgxs_lib.get_mgxs(domain, mgxs_type)
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df = mgxs.get_pandas_dataframe()
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outstr += df.to_string() + '\n'
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# Hash the results if necessary
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if hash_output:
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sha512 = hashlib.sha512()
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sha512.update(outstr.encode('utf-8'))
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outstr = sha512.hexdigest()
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return outstr
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def test_mgxs_library_histogram():
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model = pwr_pin_cell()
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harness = MGXSTestHarness('statepoint.10.h5', model)
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harness.main()
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