code: def test_get_s3_base_uri_for_monitoring_analysis_config(
      check_job_config,
      data_config,
      bias_config,
      model_config,
      shap_config,
      predictions_config,
  ):
      # ModelExplainabilityCheckStep without specifying s3_analysis_config_output_path
      model_explainability_check_config_1 = (
          ModelExplainabilityCheckConfig(
              data_config=data_config,
              model_config=model_config,
              explainability_config=shap_config,
          )
      )
      model_explainability_check_step_1 = ClarifyCheckStep(
          name="ModelExplainabilityCheckStep",
          clarify_check_config=model_explainability_check_config_1,
          check_job_config=check_job_config,
      )
  
      assert (
          f"s3://{_DEFAULT_BUCKET}/{_MODEL_MONITOR_S3_PATH}"
          + f"/{_EXPLAINABILITY_MONITORING_CFG_BASE_NAME}-configuration"
          == model_explainability_check_step_1._get_s3_base_uri_for_monitoring_analysis_config()
      )
  
      # ModelExplainabilityCheckStep with specifying s3_analysis_config_output_path
      model_explainability_data_config = DataConfig(
          s3_data_input_path=_S3_INPUT_PATH,
          s3_output_path=ParameterString(
              name="S3OutputPath", default_value=_S3_OUTPUT_PATH
          ),
          s3_analysis_config_output_path=_S3_ANALYSIS_CONFIG_OUTPUT_PATH,
      )
      model_explainability_check_config_2 = (
          ModelExplainabilityCheckConfig(
              data_config=model_explainability_data_config,
              model_config=model_config,
              explainability_config=shap_config,
          )
      )
      model_explainability_check_step_2 = ClarifyCheckStep(
          name="ModelExplainabilityCheckStep",
          clarify_check_config=model_explainability_check_config_2,
          check_job_config=check_job_config,
      )
  
      assert (
          f"{_S3_ANALYSIS_CONFIG_OUTPUT_PATH}/{_EXPLAINABILITY_MONITORING_CFG_BASE_NAME}-configuration"
          == model_explainability_check_step_2._get_s3_base_uri_for_monitoring_analysis_config()
      )
  
      # ModelBiasCheckStep with specifying s3_analysis_config_output_path
      model_bias_data_config = DataConfig(
          s3_data_input_path=_S3_INPUT_PATH,
          s3_output_path=_S3_OUTPUT_PATH,
          s3_analysis_config_output_path=_S3_ANALYSIS_CONFIG_OUTPUT_PATH,
      )
      model_bias_check_config = ModelBiasCheckConfig(
          data_config=model_bias_data_config,
          data_bias_config=bias_config,
          model_config=model_config,
          model_predicted_label_config=predictions_config,
      )
      model_bias_check_step = ClarifyCheckStep(
          name="ModelBiasCheckStep",
          clarify_check_config=model_bias_check_config,
          check_job_config=check_job_config,
      )
  
      assert (
          f"{_S3_ANALYSIS_CONFIG_OUTPUT_PATH}/{_BIAS_MONITORING_CFG_BASE_NAME}-configuration"
          == model_bias_check_step._get_s3_base_uri_for_monitoring_analysis_config()
      )
  
      # DataBiasCheckStep without specifying s3_analysis_config_output_path
      data_bias_check_config = DataBiasCheckConfig(
          data_config=data_config,
          data_bias_config=bias_config,
      )
      data_bias_check_step = ClarifyCheckStep(
          name="DataBiasCheckStep",
          clarify_check_config=data_bias_check_config,
          check_job_config=check_job_config,
      )
      assert (
          f"s3://{_DEFAULT_BUCKET}/{_MODEL_MONITOR_S3_PATH}"
          + f"/{_BIAS_MONITORING_CFG_BASE_NAME}-configuration"
          == data_bias_check_step._get_s3_base_uri_for_monitoring_analysis_config()
      )
  
imports: from __future__ import absolute_import
  import json
  import re
  import pytest
  from sagemaker.clarify import DataConfig, BiasConfig, ModelConfig, ModelPredictedLabelConfig, SHAPConfig
  from sagemaker.workflow.clarify_check_step import DataBiasCheckConfig, ClarifyCheckStep, ModelBiasCheckConfig, ModelExplainabilityCheckConfig, ClarifyCheckConfig, _EXPLAINABILITY_MONITORING_CFG_BASE_NAME, _BIAS_MONITORING_CFG_BASE_NAME
  from sagemaker.model_monitor.model_monitoring import _MODEL_MONITOR_S3_PATH
  from sagemaker.workflow.parameters import ParameterString
  from sagemaker.workflow.pipeline import Pipeline
  from sagemaker.workflow.pipeline import PipelineDefinitionConfig
  from sagemaker.workflow.steps import CacheConfig
  from sagemaker.workflow.check_job_config import CheckJobConfig
label_desc: Use image node_id 14 for calling a global function with example usage: test_get_s3_base_uri_for_monitoring_analysis_config(check_job_config, data_config, bias_config, model_config, shap_config, predictions_config) without return types