code: def setUp(self):
      self.test_rust_tokenizer = (
          False  # because we don't have pretrained_vocab_files_map
      )
      super().setUp()
      self.test_rust_tokenizer = True
  
      model_paths = [
          "robot-test/dummy-tokenizer-fast",
          "robot-test/dummy-tokenizer-wordlevel",
      ]
      self.bytelevel_bpe_model_name = (
          "SaulLu/dummy-tokenizer-bytelevel-bpe"
      )
  
      # Inclusion of 2 tokenizers to test different types of models (Unigram and WordLevel for the moment)
      self.tokenizers_list = [
          (PreTrainedTokenizerFast, model_path, {})
          for model_path in model_paths
      ]
  
      tokenizer = PreTrainedTokenizerFast.from_pretrained(
          model_paths[0]
      )
      tokenizer.save_pretrained(self.tmpdirname)
  
imports: import concurrent.futures
  import json
  import os
  import shutil
  import tempfile
  import unittest
  from transformers import AutoTokenizer, PreTrainedTokenizerFast
  from transformers.testing_utils import require_tokenizers
  from ..test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 1 for calling the PreTrainedTokenizationFastTest obj's underlying member method code with example usage: obj.setUp() without return types