class_docstr: A class that regroups important test to make sure that we properly handle the special tokens.
code: def setUpClass(cls):
      tokenizer = SeamlessM4TTokenizer(
          SAMPLE_VOCAB, extra_ids=0, add_bos_token=False, legacy=False
      )
      tokenizer.add_special_tokens(
          {
              "additional_special_tokens": [
                  AddedToken("<s>", rstrip=False, lstrip=False)
              ]
          }
      )
      cls.tokenizer = tokenizer
      return cls
  
imports: import tempfile
  import unittest
  from transformers import SPIECE_UNDERLINE, AddedToken, BatchEncoding, PreTrainedTokenizerFast, SeamlessM4TTokenizer, SeamlessM4TTokenizerFast, is_torch_available
  from transformers.testing_utils import get_tests_dir, nested_simplify, require_sentencepiece, require_tokenizers, require_torch
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 1 for calling the CommonSpmIntegrationTests obj's underlying member method code with example usage: obj.setUpClass(cls) and returns: cls