code: def test_layoutxlm_truncation_integration_test(self):
      words, boxes = self.get_words_and_boxes()
  
      tokenizer = LayoutXLMTokenizer.from_pretrained(
          "microsoft/layoutxlm-base", model_max_length=512
      )
  
      for i in range(12, 512):
          new_encoded_inputs = tokenizer.encode(
              words, boxes=boxes, max_length=i, truncation=True
          )
  
          # 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(
          words, boxes=boxes, truncation=True
      )
      dropped_encoded_inputs = tokenizer.encode(
          words, boxes=boxes, truncation=True
      )
  
      # 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 shutil
  import tempfile
  import unittest
  from typing import List
  from transformers import AddedToken, LayoutXLMTokenizerFast, SpecialTokensMixin, is_tf_available, is_torch_available, logging
  from transformers.models.layoutxlm.tokenization_layoutxlm import LayoutXLMTokenizer
  from transformers.testing_utils import get_tests_dir, is_pt_tf_cross_test, require_pandas, require_scatter, require_sentencepiece, require_tokenizers, require_torch, slow
  from ...test_tokenization_common import SMALL_TRAINING_CORPUS, TokenizerTesterMixin, filter_non_english, merge_model_tokenizer_mappings
label_desc: Use image node_id 39 for calling the LayoutXLMTokenizationTest obj's underlying member method code with example usage: obj.test_layoutxlm_truncation_integration_test() without return types