code: def test_clarify_check_step_invalid_config(
      check_job_config,
      model_package_group_name,
      data_config,
  ):
      clarify_check_config = ClarifyCheckConfig(data_config=data_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)
          == "The clarify_check_config can only be object of DataBiasCheckConfig, ModelBiasCheckConfig"
          " or ModelExplainabilityCheckConfig"
      )
  
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 12 for calling a global function with example usage: test_clarify_check_step_invalid_config(check_job_config, model_package_group_name, data_config) without return types