code: def test_clarify_baselining_job():
      processing_job = MagicMock()
      baselining_job = ClarifyBaseliningJob(
          processing_job=processing_job
      )
  
      with pytest.raises(NotImplementedError):
          baselining_job.baseline_statistics()
  
      with patch(
          "sagemaker.model_monitor.BaseliningJob.suggested_constraints"
      ) as suggested_constraints:
          baselining_job.suggested_constraints(kms_key=VOLUME_KMS_KEY)
          suggested_constraints.assert_called_with(
              "analysis.json", VOLUME_KMS_KEY
          )
  
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 11 for calling a global function with example usage: test_clarify_baselining_job() without return types