code: def test_model_batch_transform_bias_monitor(
      model_bias_monitor, sagemaker_session
  ):
      # create schedule
      _test_model_bias_monitor_batch_transform_create_schedule(
          model_bias_monitor=model_bias_monitor,
          sagemaker_session=sagemaker_session,
          analysis_config=ANALYSIS_CONFIG_S3_URI,
          constraints=CONSTRAINTS,
      )
  
      # update schedule
      _test_model_bias_monitor_update_schedule(
          model_bias_monitor=model_bias_monitor,
          sagemaker_session=sagemaker_session,
      )
  
      # delete schedule
      _test_model_bias_monitor_delete_schedule(
          model_bias_monitor=model_bias_monitor,
          sagemaker_session=sagemaker_session,
      )
  
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 22 for calling a global function with example usage: test_model_batch_transform_bias_monitor(model_bias_monitor, sagemaker_session) without return types