code: def getstate(self) -> Tuple[Any, ...]:
      return (self.vals, self.current_idx)
  
imports: import random
  import unittest
  from typing import Any, Iterator, List, Tuple
  from unittest.mock import Mock, patch
  from torch.utils.data import IterDataPipe
  from torchrec.datasets.utils import idx_split_train_val, ParallelReadConcat, rand_split_train_val
label_desc: Use image node_id 3 for calling the _FakeRandom obj's underlying member method code with example usage: obj.getstate() and returns: self,  self