code: def _actor_handle_deserializer(serialized_obj):
      # If this actor handle was stored in another object, then tell the
      # core worker.
      context = (
          ray._private.worker.global_worker.get_serialization_context()
      )
      outer_id = context.get_outer_object_ref()
      return ray.actor.ActorHandle._deserialization_helper(
          serialized_obj, outer_id
      )
  
imports: import io
  import logging
  import threading
  import traceback
  from typing import Any
  import google.protobuf.message
  import ray._private.utils
  import ray.cloudpickle
  from ray._private import ray_constants
  from ray._raylet import MessagePackSerializedObject, MessagePackSerializer, DynamicObjectRefGenerator, Pickle5SerializedObject, Pickle5Writer, RawSerializedObject, split_buffer, unpack_pickle5_buffers
  from ray.core.generated.common_pb2 import ErrorType, RayErrorInfo
  from ray.exceptions import ActorPlacementGroupRemoved, ActorUnschedulableError, LocalRayletDiedError, NodeDiedError, ObjectFetchTimedOutError, ObjectLostError, ObjectReconstructionFailedError, ObjectReconstructionFailedLineageEvictedError, ObjectReconstructionFailedMaxAttemptsExceededError, OutOfDiskError, OwnerDiedError, PlasmaObjectNotAvailable, RayActorError, RayError, RaySystemError, RayTaskError, ReferenceCountingAssertionError, ObjectFreedError, RuntimeEnvSetupError, TaskCancelledError, TaskPlacementGroupRemoved, TaskUnschedulableError, WorkerCrashedError, OutOfMemoryError, ObjectRefStreamEndOfStreamError
  from ray.util import serialization_addons
  from ray.util import inspect_serializability
label_desc: Use image node_id 3 for calling a global function with example usage: _actor_handle_deserializer(serialized_obj) and returns: ray