code: def setUp(self):
      super().setUp()
  
      # We have a SentencePiece fixture for testing
      tokenizer = XLMProphetNetTokenizer(
          SAMPLE_VOCAB, keep_accents=True
      )
      tokenizer.save_pretrained(self.tmpdirname)
  
file_path: transformers/tests/models/xlm_prophetnet/test_tokenization_xlm_prophetnet.py
imports: import unittest
  from transformers.models.xlm_prophetnet.tokenization_xlm_prophetnet import SPIECE_UNDERLINE, XLMProphetNetTokenizer
  from transformers.testing_utils import get_tests_dir, require_sentencepiece, slow
  from transformers.utils import cached_property
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 1 for calling the XLMProphetNetTokenizationTest obj's underlying member method code with example usage: obj.setUp() without return types