code: def test_no_max_length(self):
      tokenizer = PretrainedTransformerTokenizer(
          "bert-base-cased", max_length=None, add_special_tokens=False
      )
      # Even though the bert model has a max input length of 512, when we tokenize
      # with `max_length = None`, we should not get any truncation.
      tokens = tokenizer.tokenize(" ".join(["a"] * 550))
      assert len(tokens) == 550
  
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 8 for calling the TestPretrainedTransformerTokenizer obj's underlying member method code with example usage: obj.test_no_max_length() without return types