code: def test_dataset_small_files(self) -> None:
      self._test_dataset([1] * 20, 4, 2)
  
imports: import contextlib
  import math
  import os
  import random
  import tempfile
  from typing import Any, Dict, List, Optional
  import numpy
  from torch.utils.data import DataLoader
  from torchrec.datasets.criteo import BinaryCriteoUtils, CAT_FEATURE_COUNT, criteo_kaggle, criteo_terabyte, InMemoryBinaryCriteoIterDataPipe, INT_FEATURE_COUNT
  from torchrec.datasets.test_utils.criteo_test_utils import CriteoTest
  from torchrec.datasets.utils import Batch
label_desc: Use image node_id 4 for calling the TestInMemoryBinaryCriteoIterDataPipe obj's underlying member method code with example usage: obj.test_dataset_small_files() without return types