code: def _retrieve_default_training_metric_definitions(
      model_id: str,
      model_version: str,
      region: Optional[str],
      tolerate_vulnerable_model: bool = False,
      tolerate_deprecated_model: bool = False,
      sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
      instance_type: Optional[str] = None,
  ) -> Optional[List[Dict[str, str]]]:
      """Retrieves the default training metric definitions for the model.
  
      Args:
          model_id (str): JumpStart model ID of the JumpStart model for which to
              retrieve the default training metric definitions.
          model_version (str): Version of the JumpStart model for which to retrieve the
              default training metric definitions.
          region (Optional[str]): Region for which to retrieve default training metric
              definitions.
          tolerate_vulnerable_model (bool): True if vulnerable versions of model
              specifications should be tolerated (exception not raised). If False, raises an
              exception if the script used by this version of the model has dependencies with known
              security vulnerabilities. (Default: False).
          tolerate_deprecated_model (bool): True if deprecated versions of model
              specifications should be tolerated (exception not raised). If False, raises
              an exception if the version of the model is deprecated. (Default: False).
          sagemaker_session (sagemaker.session.Session): A SageMaker Session
              object, used for SageMaker interactions. If not
              specified, one is created using the default AWS configuration
              chain. (Default: sagemaker.jumpstart.constants.DEFAULT_JUMPSTART_SAGEMAKER_SESSION).
          instance_type (str): An instance type to optionally supply in order to get
              metric definitions specific for the instance type.
      Returns:
          list: the default training metric definitions to use for the model or None.
      """
  
      if region is None:
          region = JUMPSTART_DEFAULT_REGION_NAME
  
      model_specs = verify_model_region_and_return_specs(
          model_id=model_id,
          version=model_version,
          scope=JumpStartScriptScope.TRAINING,
          region=region,
          tolerate_vulnerable_model=tolerate_vulnerable_model,
          tolerate_deprecated_model=tolerate_deprecated_model,
          sagemaker_session=sagemaker_session,
      )
  
      default_metric_definitions = (
          deepcopy(model_specs.metrics)
          if getattr(model_specs, "metrics")
          else []
      )
  
      instance_specific_metric_definitions = (
          model_specs.training_instance_type_variants.get_instance_specific_metric_definitions(
              instance_type
          )
          if instance_type
          and getattr(
              model_specs, "training_instance_type_variants", None
          )
          is not None
          else []
      )
  
      instance_specific_metric_name: str
      for (
          instance_specific_metric_definition
      ) in instance_specific_metric_definitions:
          instance_specific_metric_name = (
              instance_specific_metric_definition["Name"]
          )
          default_metric_definitions = list(
              filter(
                  lambda metric_definition: metric_definition["Name"]
                  != instance_specific_metric_name,
                  default_metric_definitions,
              )
          )
          default_metric_definitions.append(
              instance_specific_metric_definition
          )
  
      return default_metric_definitions
  
imports: from __future__ import absolute_import
  from copy import deepcopy
  from typing import Dict, List, Optional
  from sagemaker.jumpstart.constants import DEFAULT_JUMPSTART_SAGEMAKER_SESSION, JUMPSTART_DEFAULT_REGION_NAME
  from sagemaker.jumpstart.enums import JumpStartScriptScope
  from sagemaker.jumpstart.utils import verify_model_region_and_return_specs
  from sagemaker.session import Session
label_desc: Use image node_id 1 for calling a global function with example usage: _retrieve_default_training_metric_definitions(model_id, model_version, region, tolerate_vulnerable_model, tolerate_deprecated_model, sagemaker_session, instance_type) and returns: default_metric_definitions