code: def _load_ref_helper(key: str, workflow_id: str):
      # TODO(Alex): We should stream the data directly into `cloudpickle.load`.
      storage = workflow_storage.WorkflowStorage(workflow_id)
      return storage._get(key)
  
imports: import contextlib
  from dataclasses import dataclass
  import logging
  import os
  import ray
  from ray import cloudpickle
  from ray.types import ObjectRef
  from ray.workflow import common, workflow_storage
  from typing import Any, Dict, Generator, List, Optional, Tuple, TYPE_CHECKING
  from collections import ChainMap
  import io
label_desc: Use image node_id 7 for calling a global function with example usage: _load_ref_helper(key, workflow_id) and returns: storage