code: def test_clarify_check_step_with_none_or_invalid_s3_analysis_config_output_uri(
      bias_config,
      check_job_config,
      model_package_group_name,
  ):
      # s3_analysis_config_output is None and s3_output_path is valid s3 path str
      data_config = DataConfig(
          s3_data_input_path=_S3_INPUT_PATH,
          s3_output_path=_S3_OUTPUT_PATH,
          label="fraud",
          dataset_type="text/csv",
      )
      clarify_check_config = DataBiasCheckConfig(
          data_config=data_config,
          data_bias_config=bias_config,
      )
  
      ClarifyCheckStep(
          name="ClarifyCheckStep",
          clarify_check_config=clarify_check_config,
          check_job_config=check_job_config,
          skip_check=False,
          register_new_baseline=False,
          model_package_group_name=model_package_group_name,
          supplied_baseline_constraints="supplied_baseline_constraints",
      )
  
      # s3_analysis_config_output is empty but s3_output_path is Parameter
      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="",
          label="fraud",
          dataset_type="text/csv",
      )
      clarify_check_config = DataBiasCheckConfig(
          data_config=data_config,
          data_bias_config=bias_config,
      )
  
      with pytest.raises(Exception) as error:
          ClarifyCheckStep(
              name="ClarifyCheckStep",
              clarify_check_config=clarify_check_config,
              check_job_config=check_job_config,
              skip_check=False,
              register_new_baseline=False,
              model_package_group_name=model_package_group_name,
              supplied_baseline_constraints="supplied_baseline_constraints",
          )
  
      assert (
          str(error.value)
          == "`s3_output_path` cannot be of type ExecutionVariable/Expression/Parameter/Properties "
          + "if `s3_analysis_config_output_path` is none or empty "
      )
  
      # s3_analysis_config_output is invalid
      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=ParameterString(
              name="S3OAnalysisCfgOutput"
          ),
          label="fraud",
          dataset_type="text/csv",
      )
      clarify_check_config = DataBiasCheckConfig(
          data_config=data_config,
          data_bias_config=bias_config,
      )
  
      with pytest.raises(Exception) as error:
          ClarifyCheckStep(
              name="ClarifyCheckStep",
              clarify_check_config=clarify_check_config,
              check_job_config=check_job_config,
              skip_check=False,
              register_new_baseline=False,
              model_package_group_name=model_package_group_name,
              supplied_baseline_constraints="supplied_baseline_constraints",
          )
  
      assert (
          str(error.value)
          == "s3_analysis_config_output_path cannot be of type "
          "ExecutionVariable/Expression/Parameter/Properties"
      )
  
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 13 for calling a global function with example usage: test_clarify_check_step_with_none_or_invalid_s3_analysis_config_output_uri(bias_config, check_job_config, model_package_group_name) without return types