code: def test_hommel(alpha, expected):
      """Check that the computation of Hommel value.
  
      For these, we take the example in  Meijer et al. 2017
      'A shortcut for Hommel's procedure in linearithmic time'
      and check that we obtain the same values.
      https://arxiv.org/abs/1710.08273
      """
      z = norm.isf([1.0e-8, 0.01, 0.08, 0.1, 0.5, 0.7, 0.9])
  
      assert _compute_hommel_value(z, alpha=alpha) == expected
  
imports: import numpy
  import pytest
  from nibabel import Nifti1Image
  from numpy.testing import assert_almost_equal, assert_equal
  from scipy.stats import norm
  from nilearn.conftest import _shape_3d_default
  from nilearn.glm import cluster_level_inference, fdr_threshold, threshold_stats_img
  from nilearn.glm.thresholding import _compute_hommel_value
  from nilearn.image import get_data
label_desc: Use image node_id 7 for calling a global function with example usage: test_hommel(alpha, expected) without return types