code: def test_invalid_bias_config():
      # Empty facet list,
      with pytest.raises(
          AssertionError, match="Please provide at least one facet"
      ):
          BiasConfig(
              label_values_or_threshold=[1],
              facet_name=[],
          )
  
      # Two facets but only one value
      with pytest.raises(
          ValueError,
          match="The number of facet names doesn't match the number of facet values",
      ):
          BiasConfig(
              label_values_or_threshold=[1],
              facet_name=["Feature1", "Feature2"],
              facet_values_or_threshold=[[1]],
          )
  
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 10 for calling a global function with example usage: test_invalid_bias_config() without return types