code: def data_config():
      return DataConfig(
          s3_data_input_path=BASELINING_DATASET_S3_URI,
          s3_output_path=OUTPUT_S3_URI,
          label=ANALYSIS_CONFIG_LABEL,
          headers=ANALYSIS_CONFIG_ALL_HEADERS,
          features=FEATURES_ATTRIBUTE,
      )
  
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 6 for calling a global function with example usage: data_config() and returns: DataConfig