code: def test_padding(self, max_length=6):
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
          with self.subTest(
              f"{tokenizer.__class__.__name__} ({pretrained_name})"
          ):
              tokenizer_r = self.rust_tokenizer_class.from_pretrained(
                  pretrained_name, **kwargs
              )
              # Simple input
              sentence1 = "This is a simple input"
              sentence2 = [
                  "This is a simple input 1",
                  "This is a simple input 2",
              ]
              pair1 = ("This is a simple input", "This is a pair")
              pair2 = [
                  (
                      "This is a simple input 1",
                      "This is a simple input 2",
                  ),
                  (
                      "This is a simple pair 1",
                      "This is a simple pair 2",
                  ),
              ]
  
              # Simple input tests
              try:
                  tokenizer_r.encode(sentence1, max_length=max_length)
                  tokenizer_r.encode_plus(
                      sentence1, max_length=max_length
                  )
  
                  tokenizer_r.batch_encode_plus(
                      sentence2, max_length=max_length
                  )
                  tokenizer_r.encode(pair1, max_length=max_length)
                  tokenizer_r.batch_encode_plus(
                      pair2, max_length=max_length
                  )
              except ValueError:
                  self.fail(
                      "Nougat Tokenizer should be able to deal with padding"
                  )
  
              tokenizer_r.pad_token = None  # Hotfixing padding = None
              self.assertRaises(
                  ValueError,
                  tokenizer_r.encode,
                  sentence1,
                  max_length=max_length,
                  padding="max_length",
              )
  
              # Simple input
              self.assertRaises(
                  ValueError,
                  tokenizer_r.encode_plus,
                  sentence1,
                  max_length=max_length,
                  padding="max_length",
              )
  
              # Simple input
              self.assertRaises(
                  ValueError,
                  tokenizer_r.batch_encode_plus,
                  sentence2,
                  max_length=max_length,
                  padding="max_length",
              )
  
              # Pair input
              self.assertRaises(
                  ValueError,
                  tokenizer_r.encode,
                  pair1,
                  max_length=max_length,
                  padding="max_length",
              )
  
              # Pair input
              self.assertRaises(
                  ValueError,
                  tokenizer_r.encode_plus,
                  pair1,
                  max_length=max_length,
                  padding="max_length",
              )
  
              # Pair input
              self.assertRaises(
                  ValueError,
                  tokenizer_r.batch_encode_plus,
                  pair2,
                  max_length=max_length,
                  padding="max_length",
              )
  
imports: import unittest
  from transformers import NougatTokenizerFast
  from transformers.models.nougat.tokenization_nougat_fast import markdown_compatible, normalize_list_like_lines
  from transformers.testing_utils import require_levenshtein, require_nltk, require_tokenizers
  from ...test_tokenization_common import TokenizerTesterMixin
label_desc: Use image node_id 3 for calling the NougatTokenizationTest obj's underlying member method code with example usage: obj.test_padding(max_length) without return types