code: def test_default_with_no_labels(self):
      features = [
          {"label": None, "inputs": [0, 1, 2, 3, 4, 5]}
          for i in range(8)
      ]
      batch = default_data_collator(features)
      self.assertTrue("labels" not in batch)
      self.assertEqual(batch["inputs"].shape, torch.Size([8, 6]))
  
      # With label_ids
      features = [
          {"label_ids": None, "inputs": [0, 1, 2, 3, 4, 5]}
          for i in range(8)
      ]
      batch = default_data_collator(features)
      self.assertTrue("labels" not in batch)
      self.assertEqual(batch["inputs"].shape, torch.Size([8, 6]))
  
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 5 for calling the DataCollatorIntegrationTest obj's underlying member method code with example usage: obj.test_default_with_no_labels() without return types