code: def test_bias_config():
      label_values = [1]
      facet_name = "F1"
      facet_threshold = 0.3
      group_name = "A151"
  
      data_bias_config = BiasConfig(
          label_values_or_threshold=label_values,
          facet_name=facet_name,
          facet_values_or_threshold=facet_threshold,
          group_name=group_name,
      )
  
      expected_config = {
          "label_values_or_threshold": label_values,
          "facet": [
              {
                  "name_or_index": facet_name,
                  "value_or_threshold": facet_threshold,
              }
          ],
          "group_variable": group_name,
      }
      assert expected_config == data_bias_config.get_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 9 for calling a global function with example usage: test_bias_config() without return types