code: def test_segmentation_config(
      name_or_index, segments, config_name, display_aliases
  ):
      segmentation_config = SegmentationConfig(
          name_or_index=name_or_index,
          segments=segments,
          config_name=config_name,
          display_aliases=display_aliases,
      )
  
      assert segmentation_config.name_or_index == name_or_index
      assert segmentation_config.segments == segments
      if segmentation_config.config_name:
          assert segmentation_config.config_name == config_name
      if segmentation_config.display_aliases:
          assert segmentation_config.display_aliases == display_aliases
  
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 5 for calling a global function with example usage: test_segmentation_config(name_or_index, segments, config_name, display_aliases) without return types