code: def test_fetch_coords_seitzman_2018():
      bunch = atlas.fetch_coords_seitzman_2018()
  
      assert len(bunch.rois) == 300
      assert len(bunch.radius) == 300
      assert len(bunch.networks) == 300
      assert len(bunch.regions) == 300
      assert len(np.unique(bunch.networks)) == 14
      assert len(np.unique(bunch.regions)) == 8
      assert_array_equal(bunch.networks, np.sort(bunch.networks))
      assert bunch.description != ""
      assert bunch.regions[0] == "cortexL"
  
      bunch = atlas.fetch_coords_seitzman_2018(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 12 for calling a global function with example usage: test_fetch_coords_seitzman_2018() without return types