code: def setstate(self, state: Tuple[Any, ...]) -> None:
      self.vals, self.current_idx = state
  
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 4 for calling the _FakeRandom obj's underlying member method code with example usage: obj.setstate(state) without return types