code: def test_load_dataset_with_max_length(self):
      max_length = random.randint(4, 16)
      dataset = self._test_load_dataset(
          False, False, True, max_length=max_length
      )
      if isinstance(dataset, DatasetDict):
          first_split = list(dataset.keys())[0]
          dataset = dataset[first_split]
      input_ids = dataset[0]["input_ids"]
      self.assertEqual(len(input_ids), max_length)
  
imports: import copy
  import random
  import string
  from typing import TYPE_CHECKING, Any, Dict, Tuple, Union
  from unittest import TestCase
  from datasets import DatasetDict
  from transformers import AutoConfig, AutoFeatureExtractor, AutoTokenizer
  from optimum.utils.preprocessing import TaskProcessorsManager
label_desc: Use image node_id 1 for calling the TokenClassificationProcessorTest obj's underlying member method code with example usage: obj.test_load_dataset_with_max_length() without return types