code: def _generate_output_dict(
      feature_lists, label_lists, feature_cols=None, label_cols=None
  ):
      feature_arrs = _merge_rows(feature_lists)
      if label_cols is not None:
          label_arrs = _merge_rows(label_lists)
          return {"x": feature_arrs, "y": label_arrs}
      else:
          return {"x": feature_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 11 for calling a global function with example usage: _generate_output_dict(feature_lists, label_lists, feature_cols, label_cols) and returns: dict, dict