code: def test_data_collator_for_language_modeling(self):
      no_pad_features = [
          {"input_ids": list(range(10))},
          {"input_ids": list(range(10))},
      ]
      pad_features = [
          {"input_ids": list(range(5))},
          {"input_ids": list(range(10))},
      ]
      self._test_no_pad_and_pad(no_pad_features, pad_features)
  
      no_pad_features = [list(range(10)), list(range(10))]
      pad_features = [list(range(5)), list(range(10))]
      self._test_no_pad_and_pad(no_pad_features, pad_features)
  
imports: import os
  import shutil
  import tempfile
  import unittest
  import numpy
  from transformers import BertTokenizer, DataCollatorForLanguageModeling, DataCollatorForPermutationLanguageModeling, DataCollatorForTokenClassification, DataCollatorForWholeWordMask, DataCollatorWithPadding, default_data_collator, is_tf_available, is_torch_available, set_seed
  from transformers.testing_utils import require_tf, require_torch
label_desc: Use image node_id 9 for calling the NumpyDataCollatorIntegrationTest obj's underlying member method code with example usage: obj.test_data_collator_for_language_modeling() without return types