code: def test_tapas_truncation_integration_test(self):
      data = {
          "Actors": [
              "Brad Pitt",
              "Leonardo Di Caprio",
              "George Clooney",
          ],
          "Age": ["56", "45", "59"],
          "Number of movies": ["87", "53", "69"],
          "Date of birth": [
              "18 december 1963",
              "11 november 1974",
              "6 may 1961",
          ],
      }
      queries = [
          "When was Brad Pitt born?",
          "Which actor appeared in the least number of movies?",
          "What is the average number of movies?",
      ]
      table = pd.DataFrame.from_dict(data)
  
      tokenizer = TapasTokenizer.from_pretrained(
          "lysandre/tapas-temporary-repo", model_max_length=512
      )
  
      for i in range(12):
          # The table cannot even encode the headers, so raise an error
          with self.assertRaises(ValueError):
              tokenizer.encode(
                  table=table,
                  query=queries[0],
                  max_length=i,
                  truncation="drop_rows_to_fit",
              )
  
      for i in range(12, 512):
          new_encoded_inputs = tokenizer.encode(
              table=table,
              query=queries[0],
              max_length=i,
              truncation="drop_rows_to_fit",
          )
  
          # Ensure that the input IDs are less than the max length defined.
          self.assertLessEqual(len(new_encoded_inputs), i)
  
      tokenizer.model_max_length = 20
      new_encoded_inputs = tokenizer.encode(
          table=table, query=queries[0], truncation=True
      )
      dropped_encoded_inputs = tokenizer.encode(
          table=table, query=queries[0], truncation="drop_rows_to_fit"
      )
  
      # Ensure that the input IDs are still truncated when no max_length is specified
      self.assertListEqual(new_encoded_inputs, dropped_encoded_inputs)
      self.assertLessEqual(len(new_encoded_inputs), 20)
  
imports: import inspect
  import os
  import shutil
  import tempfile
  import unittest
  from typing import List
  import numpy
  import pandas
  from transformers import AddedToken
  from transformers.models.tapas.tokenization_tapas import VOCAB_FILES_NAMES, BasicTokenizer, TapasTokenizer, WordpieceTokenizer, _is_control, _is_punctuation, _is_whitespace
  from transformers.testing_utils import is_pt_tf_cross_test, require_pandas, require_scatter, require_tensorflow_probability, require_tokenizers, require_torch, slow
  from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english, merge_model_tokenizer_mappings
label_desc: Use image node_id 49 for calling the TapasTokenizationTest obj's underlying member method code with example usage: obj.test_tapas_truncation_integration_test() without return types