code: def test_fetch_coords_dosenbach_2010():
      bunch = atlas.fetch_coords_dosenbach_2010()
  
      assert len(bunch.rois) == 160
      assert len(bunch.labels) == 160
      assert len(np.unique(bunch.networks)) == 6
      assert bunch.description != ""
      assert_array_equal(bunch.networks, np.sort(bunch.networks))
  
      bunch = atlas.fetch_coords_dosenbach_2010(ordered_regions=False)
  
      assert np.any(bunch.networks != np.sort(bunch.networks))
  
imports: import itertools
  import os
  import re
  from pathlib import Path
  import nibabel
  import numpy
  import pandas
  import pytest
  from numpy.testing import assert_array_equal
  from nilearn._utils import data_gen
  from nilearn._utils.testing import serialize_niimg
  from nilearn.conftest import _rng
  from nilearn.datasets import atlas
  from nilearn.datasets._utils import fetch_files
  from nilearn.datasets.tests._testing import dict_to_archive
  from nilearn.image import get_data
label_desc: Use image node_id 24 for calling a global function with example usage: test_fetch_coords_dosenbach_2010() without return types