code: def client_mode_wrap(func):
      """Wraps a function called during client mode for execution as a remote task.
  
      Adopted from "ray._private.client_mode_hook.client_mode_wrap". Some changes are made
      (e.g., init the workflow instead of init Ray; the latter does not specify a storage
      during Ray init and will result in workflow failures).
      """
  
      @functools.wraps(func)
      def wrapper(*args, **kwargs):
          from ray._private.client_mode_hook import (
              client_mode_should_convert,
          )
          from ray._private.auto_init_hook import enable_auto_connect
  
          if enable_auto_connect:
              _ensure_workflow_initialized()
  
          # `is_client_mode_enabled_by_default` is used for testing with
          # `RAY_CLIENT_MODE=1`. This flag means all tests run with client mode.
          if client_mode_should_convert():
              f = ray.remote(num_cpus=0)(func)
              ref = f.remote(*args, **kwargs)
              return ray.get(ref)
          return func(*args, **kwargs)
  
      return wrapper
  
imports: import functools
  import logging
  import tempfile
  from typing import Dict, Set, List, Tuple, Union, Optional, Any
  import time
  import uuid
  from pathlib import Path
  import ray
  from ray.dag import DAGNode
  from ray.dag.input_node import DAGInputData
  from ray.remote_function import RemoteFunction
  from ray.workflow.common import WorkflowStatus, Event, asyncio_run, validate_user_metadata
  from ray.workflow import serialization, workflow_access, workflow_context
  from ray.workflow.event_listener import EventListener, EventListenerType, TimerListener
  from ray.workflow.workflow_storage import WorkflowStorage
  from ray.workflow.workflow_state_from_dag import workflow_state_from_dag
  from ray.util.annotations import PublicAPI
  from ray._private.usage import usage_lib
label_desc: Use image node_id 3 for calling a global function with example usage: client_mode_wrap(func) and returns: wrapper, func, ray