code: def test_padding_warning_message_fast_tokenizer(self):
      if not self.test_rust_tokenizer:
          return
  
      nodes, xpaths = self.get_nodes_and_xpaths()
  
      tokenizer_fast = self.get_rust_tokenizer()
      # check correct behaviour if no pad_token_id exists and add it eventually
      self._check_no_pad_token_padding(tokenizer_fast, nodes)
  
      encoding_fast = tokenizer_fast(nodes, xpaths=xpaths)
  
      with self.assertLogs("transformers", level="WARNING") as cm:
          tokenizer_fast.pad(encoding_fast)
      self.assertEqual(len(cm.records), 1)
      self.assertIn(
          "Please note that with a fast tokenizer, using the `__call__` method is faster than using a method to"
          " encode the text followed by a call to the `pad` method to get a padded encoding.",
          cm.records[0].message,
      )
  
      if not self.test_slow_tokenizer:
          return
  
      tokenizer_slow = self.get_tokenizer()
      # check correct behaviour if no pad_token_id exists and add it eventually
      self._check_no_pad_token_padding(tokenizer_slow, nodes)
  
      encoding_slow = tokenizer_slow(nodes, xpaths=xpaths)
  
      with self.assertLogs(level="WARNING") as cm:
          # We want to assert there are no warnings, but the 'assertLogs' method does not support that.
          # Therefore, we are adding a dummy warning, and then we will assert it is the only warning.
          logger.warning("Dummy warning")
          tokenizer_slow.pad(encoding_slow)
      self.assertEqual(len(cm.records), 1)
      self.assertIn(
          "Dummy warning",
          cm.records[0].message,
      )
  
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 54 for calling the MarkupLMTokenizationTest obj's underlying member method code with example usage: obj.test_padding_warning_message_fast_tokenizer() without return types