code: def test_explainability_analysis_config(shap_config, model_config):
      config = ExplainabilityAnalysisConfig(
          explainability_config=shap_config,
          model_config=model_config,
          headers=ANALYSIS_CONFIG_HEADERS_OF_FEATURES,
          label_headers=ANALYSIS_CONFIG_LABEL_HEADERS,
      )
      assert (
          EXPLAINABILITY_ANALYSIS_CONFIG_WITH_LABEL_HEADERS
          == config._to_dict()
      )
  
imports: from __future__ import print_function, absolute_import
  import copy
  import json
  import time
  from mock import patch, Mock, MagicMock
  import pytest
  from sagemaker.clarify import BiasConfig, DataConfig, ModelConfig, SHAPConfig, ModelPredictedLabelConfig
  from sagemaker.model_monitor import BiasAnalysisConfig, Constraints, CronExpressionGenerator, EndpointInput, BatchTransformInput, ExplainabilityAnalysisConfig, ModelBiasMonitor, ModelExplainabilityMonitor, MonitoringExecution, NetworkConfig
  from sagemaker.model_monitor.clarify_model_monitoring import ClarifyModelMonitor, ClarifyBaseliningJob, ClarifyMonitoringExecution
  from sagemaker.model_monitor.dataset_format import MonitoringDatasetFormat
label_desc: Use image node_id 32 for calling a global function with example usage: test_explainability_analysis_config(shap_config, model_config) without return types