code: def model_config():
      return ModelConfig(
          model_name=MODEL_NAME,
          instance_type=INSTANCE_TYPE,
          instance_count=INSTANCE_COUNT,
          content_type=CONTENT_TYPE,
          accept_type=ACCEPT_TYPE,
          content_template=JSONLINES_CONTENT_TEMPLATE,
      )
  
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 8 for calling a global function with example usage: model_config() and returns: ModelConfig