code: def test_all_resolution_inference_one_sided(
      data_norm_isf, img_3d_ones_eye, affine_eye
  ):
      data = data_norm_isf
      data[2:4, 5:7, 6:8] = 5.0
      stat_img = Nifti1Image(data, affine_eye)
  
      _, z_th = threshold_stats_img(
          stat_img,
          mask_img=img_3d_ones_eye,
          alpha=0.001,
          height_control="fpr",
          cluster_threshold=10,
          two_sided=False,
      )
      assert_equal(z_th, norm.isf(0.001))
  
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 11 for calling a global function with example usage: test_all_resolution_inference_one_sided(data_norm_isf, img_3d_ones_eye, affine_eye) without return types