code: def get_index(uid, i):
      """Get the value from the PyDataset `uid` at index `i`.
  
      To allow multiple PyDatasets to be used at the same time, we use `uid` to
      get a specific one. A single PyDataset would cause the validation to
      overwrite the training PyDataset.
  
      Args:
          uid: int, PyDataset identifier
          i: index
  
      Returns:
          The value at index `i`.
      """
      return _SHARED_SEQUENCES[uid][i]
  
imports: import multiprocessing.dummy
  import queue
  import random
  import threading
  import time
  import warnings
  import weakref
  from contextlib import closing
  import numpy
  import tree
  from keras.api_export import keras_export
  from keras.trainers.data_adapters import data_adapter_utils
  from keras.trainers.data_adapters.data_adapter import DataAdapter
label_desc: Use image node_id 4 for calling a global function with example usage: get_index(uid, i) and returns: _SHARED_SEQUENCES