code: def setUp(self):
      super().setUp()
  
      self.tokenizers = [
          GPT2Tokenizer.from_pretrained(checkpoint)
          for checkpoint in (TOKENIZER_CHECKPOINTS)
      ]
      self.tf_tokenizers = [
          TFGPT2Tokenizer.from_pretrained(checkpoint)
          for checkpoint in TOKENIZER_CHECKPOINTS
      ]
      assert len(self.tokenizers) == len(self.tf_tokenizers)
  
      self.test_sentences = [
          "This is a straightforward English test sentence.",
          "This one has some weird characters\rto\nsee\r\nif  those\u00E9break things.",
          "Now we're going to add some Chinese: 一 二 三 一二三",
          "And some much more rare Chinese: 齉 堃 齉堃",
          "Je vais aussi écrire en français pour tester les accents",
          "Classical Irish also has some unusual characters, so in they go: Gaelaċ, ꝼ",
      ]
      self.paired_sentences = list(
          zip(self.test_sentences, self.test_sentences[::-1])
      )
  
file_path: transformers/tests/models/gpt2/test_tokenization_gpt2_tf.py
imports: import unittest
  from pathlib import Path
  from tempfile import TemporaryDirectory
  from transformers import AutoConfig, TFGPT2LMHeadModel, is_keras_nlp_available, is_tf_available
  from transformers.models.gpt2.tokenization_gpt2 import GPT2Tokenizer
  from transformers.testing_utils import require_keras_nlp, require_tf, slow
label_desc: Use image node_id 1 for calling the GPTTokenizationTest obj's underlying member method code with example usage: obj.setUp() without return types