code: def test_conversion(self):
      # This is excruciatingly slow since it has to recreate the entire merge
      # list from the original vocabulary in spm
      self.rust_tokenizer.save_pretrained("./out")
      with tempfile.TemporaryDirectory() as dirname:
          self.rust_tokenizer.save_pretrained(dirname)
  
          with open(os.path.join(dirname, "tokenizer.json"), "r") as f:
              old_serialized = f.read()
  
      new_tokenizer = convert_slow_tokenizer(self.tokenizer)
      with tempfile.NamedTemporaryFile() as f:
          new_tokenizer.save(f.name)
          # Re-opening since `f` is in bytes.
          new_serialized = open(f.name, "r").read()
          with open("out_tokenizer.json", "w") as g:
              g.write(new_serialized)
  
          self.assertEqual(old_serialized, new_serialized)
  
imports: import os
  import pickle
  import shutil
  import tempfile
  import unittest
  from datasets import load_dataset
  from transformers import SPIECE_UNDERLINE, AddedToken, LlamaTokenizer, LlamaTokenizerFast, is_torch_available
  from transformers.convert_slow_tokenizer import convert_slow_tokenizer
  from transformers.testing_utils import get_tests_dir, nested_simplify, require_jinja, require_sentencepiece, require_tokenizers, require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 4 for calling the LlamaIntegrationTest obj's underlying member method code with example usage: obj.test_conversion() without return types