code: def setUp(self):
      self.tmp_dir = tempfile.TemporaryDirectory()
      # Use the test sentencepiece model downloaded from huggingface
      # transformers
      self.SAMPLE_VOCAB = maybe_download(
          "https://github.com/huggingface/transformers/blob/master/"
          "tests/fixtures/test_sentencepiece.model?raw=true",
          self.tmp_dir.name,
      )
  
      self.tokenizer = XLNetTokenizer.load(
          self.SAMPLE_VOCAB[0], configs={"keep_accents": True}
      )
      self.tokenizer.save(self.tmp_dir.name)
  
imports: import os
  import pickle
  import tempfile
  import tensorflow
  from texar.tf.data.data_utils import maybe_download
  from texar.tf.data.tokenizers.xlnet_tokenizer import XLNetTokenizer, SPIECE_UNDERLINE
  from texar.tf.utils.test import pretrained_test
label_desc: Use image node_id 1 for calling the XLNetTokenizerTest obj's underlying member method code with example usage: obj.setUp() without return types