code: def _retrieve_model_deploy_kwargs(
      model_id: str,
      model_version: str,
      instance_type: str,
      region: Optional[str] = None,
      tolerate_vulnerable_model: bool = False,
      tolerate_deprecated_model: bool = False,
      sagemaker_session: Session = DEFAULT_JUMPSTART_SAGEMAKER_SESSION,
  ) -> dict:
      """Retrieves kwargs for `Model.deploy`.
  
      Args:
          model_id (str): JumpStart model ID of the JumpStart model for which to
              retrieve the kwargs.
          model_version (str): Version of the JumpStart model for which to retrieve the
              kwargs.
          instance_type (str): Instance type of the hosting endpoint, to determine if volume size
              is supported.
          region (Optional[str]): Region for which to retrieve kwargs.
              (Default: None).
          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).
  
      Returns:
          dict: the kwargs to use for the use case.
      """
  
      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.INFERENCE,
          region=region,
          tolerate_vulnerable_model=tolerate_vulnerable_model,
          tolerate_deprecated_model=tolerate_deprecated_model,
          sagemaker_session=sagemaker_session,
      )
  
      if (
          volume_size_supported(instance_type)
          and model_specs.inference_volume_size is not None
      ):
          return {
              **model_specs.deploy_kwargs,
              **{"volume_size": model_specs.inference_volume_size},
          }
  
      return model_specs.deploy_kwargs
  
file_path: sagemaker-python-sdk/src/sagemaker/jumpstart/artifacts/kwargs.py
imports: from __future__ import absolute_import
  from copy import deepcopy
  from typing import Optional
  from sagemaker.session import Session
  from sagemaker.utils import volume_size_supported
  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
label_desc: Use image node_id 2 for calling a global function with example usage: _retrieve_model_deploy_kwargs(model_id, model_version, instance_type, region, tolerate_vulnerable_model, tolerate_deprecated_model, sagemaker_session) and returns: model_specs, dict