code: def prepare_djl_js_resources(
      model_path: str,
      js_id: str,
      shared_libs: List[str] = None,
      dependencies: str = None,
      model_data: str = None,
  ) -> tuple:
      """Prepare serving when a JumpStart model id is given
  
      Args:
          model_path (str) : Argument
          js_id (str): Argument
          to_uncompressed (bool): Argument
          shared_libs (List[]) : Argument
          dependencies (str) : Argument
          model_data (str) : Argument
  
      Returns:
          ( str ) :
  
      """
      model_path, code_dir = _create_dir_structure(model_path)
  
      return _copy_jumpstart_artifacts(model_data, js_id, code_dir)
  
imports: from __future__ import absolute_import
  import shutil
  import json
  import tarfile
  import logging
  from typing import List
  from pathlib import Path
  from sagemaker.utils import _tmpdir
  from sagemaker.s3 import S3Downloader
  from sagemaker.djl_inference import DJLModel
  from sagemaker.djl_inference.model import _read_existing_serving_properties
  from sagemaker.serve.utils.local_hardware import _check_disk_space, _check_docker_disk_usage
label_desc: Use image node_id 10 for calling a global function with example usage: prepare_djl_js_resources(model_path, js_id, shared_libs, dependencies, model_data) and returns: _copy_jumpstart_artifacts