code: def zip_reduce_shards_with_actors(
      self, xshards, actors, reduce_partitions_func, return_refs=False
  ):
      assert (
          self.num_partitions() == xshards.num_partitions()
      ), "the rdds to be zipped must have the same number of partitions"
      assert self.num_partitions() >= len(actors), (
          f"Get number of partitions ({self.num_partitions()}) smaller than "
          f"number of actors ({len(actors)}). Please submit an issue to analytics zoo."
      )
      assigned_partitions, _, _ = self.assign_partitions_to_actors(
          actors
      )
      result_refs = []
      for actor, part_ids in zip(actors, assigned_partitions):
          assigned_partition_refs = self._get_multiple_partition_refs(
              part_ids
          )
          assigned_partition_refs_other = (
              xshards._get_multiple_partition_refs(part_ids)
          )
          result_ref = reduce_partitions_func(
              actor,
              assigned_partition_refs,
              assigned_partition_refs_other,
          )
          result_refs.append(result_ref)
      if return_refs:
          return result_refs
      results = ray.get(result_refs)
      return results
  
imports: from collections import defaultdict
  import ray
  import ray._private.services
  import uuid
  import random
  from packaging import version
  from zoo.orca.data import XShards
  from zoo.ray import RayContext
  import logging
label_desc: Use image node_id 10 for calling the RayXShards obj's underlying member method code with example usage: obj.zip_reduce_shards_with_actors(xshards, actors, reduce_partitions_func, return_refs) and returns: results, result_refs