tests for PhaseName and CrystalStructure datasets and their attributes
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@ -485,8 +485,21 @@ class TestResult:
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if not np.array_equal(ref_val,actual_val):
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if not np.array_equal(ref_val,actual_val):
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error_messages.append("Common attributes in datasets of CellData do not match")
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error_messages.append("Common attributes in datasets of CellData do not match")
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# TODO: check for the array of CrystalStructures too. However, currently crystal structure is set to cubic by default.
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# TODO: check for the array of PhaseTypes too. However, currently phase is assumed Primary by default.
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# TODO: check for the array of PhaseTypes too. However, currently phase is assumed Primary by default.
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# check crystal structure array
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results_crystal_structure = np.array(results_file[ensemble_label + '/CrystalStructures'])
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ref_crystal_structure = np.array(ref_file[ensemble_label + '/CrystalStructures'])
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if not np.allclose(results_crystal_structure, ref_crystal_structure):
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error_messages.append('Crystal structure does not match')
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# check PhaseName array
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results_phase_name = np.array(results_file[ensemble_label + '/PhaseNames'])
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ref_phase_name = ['Unknown Phase Type']
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ref_phase_name.extend(i for i in result.visible['phases'])
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if not results_phase_name == np.array(ref_phase_name,dtype=bytes):
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error_messages.append('Phase names are different')
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# check attributes ensemble matrix
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# check attributes ensemble matrix
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for attrs in ['AttributeMatrixType','TupleDimensions']:
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for attrs in ['AttributeMatrixType','TupleDimensions']:
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ref_val = ref_file[ensemble_label].attrs[attrs]
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ref_val = ref_file[ensemble_label].attrs[attrs]
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@ -503,6 +516,13 @@ class TestResult:
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if not np.array_equal(ref_value,actual_val):
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if not np.array_equal(ref_value,actual_val):
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error_messages.append(f'Attributes of {dataset}s within CellEnsembleData do not match for this {attrs}')
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error_messages.append(f'Attributes of {dataset}s within CellEnsembleData do not match for this {attrs}')
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for dataset in ['PhaseName']:
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for attrs in ['DataArrayVersion','Tuple Axis Dimensions','ComponentDimensions','ObjectType','TupleDimensions']:
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ref_value = ref_file['DataContainers/StatsGeneratorDataContainer/CellEnsembleData/' + dataset].attrs[attrs]
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actual_val = results_file[ensemble_label + '/' + dataset].attrs[attrs]
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if not np.array_equal(ref_value,actual_val):
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error_messages.append(f'Attributes of {dataset}s within CellEnsembleData do not match for this {attrs}')
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# check geometry data
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# check geometry data
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for dataset in ['DIMENSIONS','ORIGIN','SPACING']:
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for dataset in ['DIMENSIONS','ORIGIN','SPACING']:
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results_val = np.array(results_file[geom_label + '/' + dataset])
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results_val = np.array(results_file[geom_label + '/' + dataset])
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