code: def setUp(self):
      self.tmpdirname = tempfile.mkdtemp()
  
      vocab_tokens = [
          "[UNK]",
          "[CLS]",
          "[SEP]",
          "[PAD]",
          "[MASK]",
          "want",
          "##want",
          "##ed",
          "wa",
          "un",
          "runn",
          "##ing",
          ",",
          "low",
          "lowest",
      ]
      self.vocab_file = os.path.join(
          self.tmpdirname, VOCAB_FILES_NAMES["vocab_file"]
      )
      with open(self.vocab_file, "w", encoding="utf-8") as vocab_writer:
          vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))
  
      image_processor_map = {
          "do_resize": True,
          "size": 20,
          "do_center_crop": True,
          "crop_size": 18,
          "do_normalize": True,
          "image_mean": [0.48145466, 0.4578275, 0.40821073],
          "image_std": [0.26862954, 0.26130258, 0.27577711],
      }
      self.image_processor_file = os.path.join(
          self.tmpdirname, IMAGE_PROCESSOR_NAME
      )
      with open(self.image_processor_file, "w", encoding="utf-8") as fp:
          json.dump(image_processor_map, fp)
  
imports: import json
  import os
  import shutil
  import tempfile
  import unittest
  import numpy
  import pytest
  from transformers import BertTokenizer, BertTokenizerFast
  from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
  from transformers.testing_utils import require_vision
  from transformers.utils import IMAGE_PROCESSOR_NAME, is_vision_available
label_desc: Use image node_id 1 for calling the AlignProcessorTest obj's underlying member method code with example usage: obj.setUp() without return types