code: def test_splits_reformer_small(self):
      sentence = "A, [MASK] AllenNLP sentence."
      expected_tokens = [
          "▁A",
          ",",
          "▁",
          "<unk>",
          "M",
          "A",
          "S",
          "K",
          "<unk>",
          "▁A",
          "ll",
          "en",
          "N",
          "L",
          "P",
          "▁s",
          "ent",
          "en",
          "ce",
          ".",
      ]
      tokenizer = PretrainedTransformerTokenizer(
          "google/reformer-crime-and-punishment"
      )
      tokens = [t.text for t in tokenizer.tokenize(sentence)]
      assert tokens == expected_tokens
  
imports: from typing import Iterable, List
  import pytest
  from allennlp.common import Params
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.data import Token
  from allennlp.data.tokenizers import PretrainedTransformerTokenizer
label_desc: Use image node_id 4 for calling the TestPretrainedTransformerTokenizer obj's underlying member method code with example usage: obj.test_splits_reformer_small() without return types