code: def test_tokenizer_as_target(self):
      # by default the tokenizer do_lower_case
      tokenizer = TapexTokenizer.from_pretrained("microsoft/tapex-base")
      answer_text = "tapex is a good model!"
      expected_src_tokens = [
          0,
          90,
          5776,
          1178,
          16,
          10,
          205,
          1421,
          328,
          2,
      ]
      answer_encoding = tokenizer(answer=answer_text)
      self.assertListEqual(
          answer_encoding.input_ids, expected_src_tokens
      )
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  from typing import List
  import pandas
  from transformers import AddedToken, TapexTokenizer
  from transformers.models.tapex.tokenization_tapex import VOCAB_FILES_NAMES
  from transformers.testing_utils import is_pt_tf_cross_test, require_pandas, slow
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 33 for calling the TapexTokenizationTest obj's underlying member method code with example usage: obj.test_tokenizer_as_target() without return types