code: def test_splits_cased_bert(self):
      tokenizer = PretrainedTransformerTokenizer("bert-base-cased")
  
      sentence = "A, [MASK] AllenNLP sentence."
      expected_tokens = [
          "[CLS]",
          "A",
          ",",
          "[MASK]",
          "Allen",
          "##NL",
          "##P",
          "sentence",
          ".",
          "[SEP]",
      ]
      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 2 for calling the TestPretrainedTransformerTokenizer obj's underlying member method code with example usage: obj.test_splits_cased_bert() without return types