code: def test_all_resolution_inference_one_voxel(
      data_norm_isf, affine_eye
  ):
      data = data_norm_isf
      data[3, 6, 7] = 10
      stat_img = Nifti1Image(data, affine_eye)
  
      th_map = cluster_level_inference(
          stat_img, threshold=7, alpha=0.05
      )
      vals = get_data(th_map)
  
      assert np.sum(vals > 0) == 1
  
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 10 for calling a global function with example usage: test_all_resolution_inference_one_voxel(data_norm_isf, affine_eye) without return types