code: def get_clean_sequence(
      self, tokenizer, max_length=20
  ) -> Tuple[str, list]:
      txt = "Beyonce lives in Los Angeles"
      ids = tokenizer.encode(txt, add_special_tokens=False)
      return txt, ids
  
imports: import unittest
  from typing import Tuple
  from transformers.models.mluke.tokenization_mluke import MLukeTokenizer
  from transformers.testing_utils import get_tests_dir, require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 7 for calling the MLukeTokenizerTest obj's underlying member method code with example usage: obj.get_clean_sequence(tokenizer, max_length) and returns: txt,  ids