code: def test_download_url_archive_trailing_separator(
      toppath=None, topurl=None, path=None
  ):
      ds = Dataset(path).create()
      # Archives will be extracted in the specified subdirectory, which doesn't
      # need to exist.
      ds.download_url(
          [topurl + "a0.tar.gz"],
          path=opj("with-slash", ""),
          archive=True,
      )
      ok_(ds.repo.file_has_content(opj("with-slash", "a0", "f0.txt")))
      # But if the path doesn't have a trailing separator, it will not be
      # considered a directory. The archive will be downloaded to that path and
      # then extracted in the top-level of the dataset.
      ds.download_url(
          [topurl + "a1.tar.gz"], path="no-slash", archive=True
      )
      ok_(ds.repo.file_has_content(opj("a1", "f1.txt")))
  
file_path: datalad/datalad/local/tests/test_download_url.py
imports: import os
  from os.path import join
  from datalad.api import Dataset, clone, download_url
  from datalad.tests.utils_pytest import DEFAULT_REMOTE, assert_cwd_unchanged, assert_false, assert_in, assert_in_results, assert_message, assert_not_in, assert_result_count, create_tree, eq_, ok_, ok_exists, serve_path_via_http, skip_if_no_network, slow, with_tempfile, with_tree
  from datalad.utils import Path, chpwd
label_desc: Use image node_id 7 for calling a global function with example usage: test_download_url_archive_trailing_separator(toppath, topurl, path) without return types