code: def test_markuplm_truncation_integration_test(self):
      nodes, xpaths = self.get_nodes_and_xpaths()
  
      tokenizer = MarkupLMTokenizer.from_pretrained(
          "microsoft/markuplm-base", model_max_length=512
      )
  
      for i in range(12, 512):
          new_encoded_inputs = tokenizer.encode(
              nodes, xpaths=xpaths, 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(
          nodes, xpaths=xpaths, truncation=True
      )
      dropped_encoded_inputs = tokenizer.encode(
          nodes, xpaths=xpaths, 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 json
  import os
  import re
  import shutil
  import tempfile
  import unittest
  from typing import List
  from transformers import AddedToken, MarkupLMTokenizerFast, SpecialTokensMixin, is_tf_available, is_torch_available, logging
  from transformers.models.markuplm.tokenization_markuplm import VOCAB_FILES_NAMES, MarkupLMTokenizer
  from transformers.testing_utils import is_pt_tf_cross_test, require_tokenizers, require_torch, slow
  from ...test_tokenization_common import SMALL_TRAINING_CORPUS, TokenizerTesterMixin, merge_model_tokenizer_mappings
label_desc: Use image node_id 35 for calling the MarkupLMTokenizationTest obj's underlying member method code with example usage: obj.test_markuplm_truncation_integration_test() without return types