code: def test_integration_test_xnli(self):
      import tqdm
  
      pyth_tokenizer = self.tokenizer
      rust_tokenizer = self.rust_tokenizer
  
      dataset = load_dataset("code_x_glue_ct_code_to_text", "go")
      for item in tqdm.tqdm(dataset["validation"]):
          string = item["code"]
          encoded1 = pyth_tokenizer.encode(string)
          encoded2 = rust_tokenizer.encode(string)
  
          self.assertEqual(encoded1, encoded2)
  
          decoded1 = pyth_tokenizer.decode(
              encoded1, skip_special_tokens=True
          )
          decoded2 = rust_tokenizer.decode(
              encoded2, skip_special_tokens=True
          )
  
          self.assertEqual(decoded1, decoded2)
  
      dataset = load_dataset("xnli", "all_languages")
  
      for item in tqdm.tqdm(dataset["train"]):
          for string in item["premise"].values():
              encoded1 = pyth_tokenizer.encode(string)
              encoded2 = rust_tokenizer.encode(string)
  
              self.assertEqual(encoded1, encoded2)
  
              decoded1 = pyth_tokenizer.decode(
                  encoded1, skip_special_tokens=True
              )
              decoded2 = rust_tokenizer.decode(
                  encoded2, skip_special_tokens=True
              )
  
              self.assertEqual(decoded1, decoded2)
  
imports: import os
  import pickle
  import shutil
  import tempfile
  import unittest
  from datasets import load_dataset
  from transformers import SPIECE_UNDERLINE, AddedToken, CodeLlamaTokenizer, CodeLlamaTokenizerFast, is_torch_available
  from transformers.convert_slow_tokenizer import convert_slow_tokenizer
  from transformers.testing_utils import get_tests_dir, nested_simplify, require_sentencepiece, require_tokenizers, require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 9 for calling the LlamaIntegrationTest obj's underlying member method code with example usage: obj.test_integration_test_xnli() without return types