code: def bias_config():
      return BiasConfig(
          label_values_or_threshold=ANALYSIS_CONFIG_LABEL_VALUES,
          facet_name=ANALYSIS_CONFIG_FACET_NAME,
          facet_values_or_threshold=ANALYSIS_CONFIG_FACET_VALUE,
          group_name=ANALYSIS_CONFIG_GROUP_VARIABLE,
      )
  
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 7 for calling a global function with example usage: bias_config() and returns: BiasConfig