code: def setUp(self):
      self.tmpdirname = tempfile.mkdtemp()
  
      vocab_tokens = ["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]"]
      self.vocab_file = os.path.join(self.tmpdirname, "vocab.txt")
      with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
          vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
  
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 1 for calling the DataCollatorIntegrationTest obj's underlying member method code with example usage: obj.setUp() without return types