code: def _merge_rows(results):
      if isinstance(results, dict):
          return results
  
      try:
          result_arrs = [_stack_arrs(l) for l in results]
      except ValueError:
          log4Error.invalidInputError(
              False,
              "Elements in the same column must have the same "
              "shape, please drop, pad or truncate the columns "
              "that do not meet this requirement.",
          )
      if len(result_arrs) == 1:
          result_arrs = result_arrs[0]
      else:
          result_arrs = tuple(result_arrs)
      return result_arrs
  
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 10 for calling a global function with example usage: _merge_rows(results) and returns: result_arrs, results