code: def update_predict_xshards(xshards, pred_xshards):
      def update_dict(d1_d2):
          d1, d2 = d1_d2
          d1.update(d2)
          return d1
  
      result = SparkXShards(
          xshards.rdd.zip(pred_xshards.rdd).map(update_dict),
          class_name="builtins.dict",
      )
      return result
  
imports: from contextlib import closing
  import socket
  import sys
  import tempfile
  import shutil
  from bigdl.dllib.utils import log4Error
  from bigdl.dllib.utils.common import callBigDlFunc
  from bigdl.dllib.utils.file_utils import get_file_list, is_local_path
  from bigdl.orca.data import SparkXShards
  from bigdl.orca.data.utils import get_size
  from bigdl.orca.data.file import put_local_dir_tree_to_remote, put_local_file_to_remote, get_remote_file_to_local, get_remote_dir_to_local
  from bigdl.dllib.utils.utils import convert_row_to_numpy
  from functools import partial
  import numpy
  from bigdl.orca.common import SafePickle
  import os
  import subprocess
  from bigdl.dllib.utils.log4Error import *
label_desc: Use image node_id 3 for calling a global function with example usage: update_predict_xshards(xshards, pred_xshards) and returns: result, d1