code: def test_batch_encode_plus_overflowing_tokens(self):
      tokenizers = self.get_tokenizers(do_lower_case=False)
      for tokenizer in tokenizers:
          table = self.get_table(tokenizer, length=10)
          string_sequences = [
              "Testing the prepare_for_model method.",
              "Test",
          ]
  
          if tokenizer.pad_token is None:
              tokenizer.add_special_tokens({"pad_token": "[PAD]"})
  
          tokenizer.batch_encode_plus(
              table,
              string_sequences,
              return_overflowing_tokens=True,
              truncation=True,
              padding=True,
              max_length=3,
          )
  
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 12 for calling the TapexTokenizationTest obj's underlying member method code with example usage: obj.test_batch_encode_plus_overflowing_tokens() without return types