code: def model_bias_monitor(sagemaker_session):
      return ModelBiasMonitor(
          role=ROLE,
          instance_count=INSTANCE_COUNT,
          instance_type=INSTANCE_TYPE,
          volume_size_in_gb=VOLUME_SIZE_IN_GB,
          volume_kms_key=VOLUME_KMS_KEY,
          output_kms_key=OUTPUT_KMS_KEY,
          max_runtime_in_seconds=MAX_RUNTIME_IN_SECONDS,
          sagemaker_session=sagemaker_session,
          env=ENVIRONMENT,
          tags=TAGS,
          network_config=NETWORK_CONFIG,
      )
  
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 3 for calling a global function with example usage: model_bias_monitor(sagemaker_session) and returns: ModelBiasMonitor