code: def index_data(x, i):
      if isinstance(x, np.ndarray):
          return x[i]
      elif isinstance(x, dict):
          res = {}
          for k, v in x.items():
              res[k] = v[i]
          return res
      elif isinstance(x, (list, tuple)):
          return [item[i] for item in x]
      else:
          invalidInputError(
              False,
              "data should be an ndarray, a dict of ndarrays, a tuple of ndarrays"
              " or a list of ndarrays, please check your input",
          )
          return []
  
imports: from bigdl.dllib.utils.file_utils import get_file_list, callZooFunc
  from bigdl.dllib.utils.utils import convert_row_to_numpy
  from bigdl.dllib.utils.common import *
  from bigdl.dllib.utils.log4Error import *
  import pyspark.sql.functions
  from typing import TYPE_CHECKING, Dict, List, Optional, Type, Union
  from numpy import float32, int32
label_desc: Use image node_id 18 for calling a global function with example usage: index_data(x, i) and returns: x, res, unknown, list