code: def test_facet_of_bias_config(
      facet_name, facet_values_or_threshold, expected_result
  ):
      label_values = [1]
      bias_config = BiasConfig(
          label_values_or_threshold=label_values,
          facet_name=facet_name,
          facet_values_or_threshold=facet_values_or_threshold,
      )
      expected_config = {
          "label_values_or_threshold": label_values,
          **expected_result,
      }
      assert bias_config.get_config() == expected_config
  
imports: from __future__ import absolute_import, print_function
  import copy
  import pytest
  from mock import MagicMock, Mock, patch
  from sagemaker import Processor, image_uris
  from sagemaker.clarify import BiasConfig, DataConfig, ModelConfig, ModelPredictedLabelConfig, PDPConfig, SageMakerClarifyProcessor, SHAPConfig, TextConfig, ImageConfig, _AnalysisConfigGenerator, DatasetType, ProcessingOutputHandler, SegmentationConfig
label_desc: Use image node_id 11 for calling a global function with example usage: test_facet_of_bias_config(facet_name, facet_values_or_threshold, expected_result) without return types