code: def test_extract_zip(self, tmpdir, use_pathlib):
      def create_archive(root, content="this is the content"):
          file = os.path.join(root, "dst.txt")
          archive = os.path.join(root, "archive.zip")
  
          with zipfile.ZipFile(archive, "w") as zf:
              zf.writestr(os.path.basename(file), content)
  
          return archive, file, content
  
      if use_pathlib:
          tmpdir = pathlib.Path(tmpdir)
      archive, file, content = create_archive(tmpdir)
  
      utils.extract_archive(archive, tmpdir)
  
      assert os.path.exists(file)
  
      with open(file) as fh:
          assert fh.read() == content
  
imports: import contextlib
  import gzip
  import os
  import pathlib
  import re
  import tarfile
  import zipfile
  import pytest
  import torch
  import torchvision.datasets.utils
  from common_utils import assert_equal
  from torch._utils_internal import get_file_path_2
  from torchvision.datasets.folder import make_dataset
  from torchvision.datasets.utils import _COMPRESSED_FILE_OPENERS
label_desc: Use image node_id 13 for calling the TestDatasetsUtils obj's underlying member method code with example usage: obj.test_extract_zip(tmpdir, use_pathlib) and returns: archive,  file,  content