code: def random(self) -> float:
      val = self.vals[self.current_idx]
      self.current_idx += 1
      return val
  
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 2 for calling the _FakeRandom obj's underlying member method code with example usage: obj.random() and returns: val