class_docstr: Initialize the serialization library.
  
  This defines a custom serializer for object refs and also tells ray to
  serialize several exception classes that we define for error handling.
code: def _deserialize_error_info(self, data, metadata_fields):
      assert data
      pb_bytes = self._deserialize_msgpack_data(data, metadata_fields)
      assert pb_bytes
  
      ray_error_info = RayErrorInfo()
      ray_error_info.ParseFromString(pb_bytes)
      return ray_error_info
  
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 13 for calling the SerializationContext obj's underlying member method code with example usage: obj._deserialize_error_info(data, metadata_fields) and returns: ray_error_info