compare the bytes types better
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e3d85e09c8
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986d6a5973
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@ -485,8 +485,6 @@ 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 PhaseTypes too. However, currently phase is assumed Primary by default.
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# check crystal structure array
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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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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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ref_crystal_structure = np.array(ref_file[ensemble_label + '/CrystalStructures'])
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@ -497,7 +495,8 @@ class TestResult:
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results_phase_name = np.array(results_file[ensemble_label + '/PhaseName'])
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results_phase_name = np.array(results_file[ensemble_label + '/PhaseName'])
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ref_phase_name = ['Unknown Phase Type']
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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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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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ref_phase_name = [bytes(i,encoding='utf-8') for i in ref_phase_name]
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if not np.all(results_phase_name == np.array(ref_phase_name,dtype=object)):
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error_messages.append('Phase names are different')
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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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