code: def data_norm_isf():
      p = np.prod(_shape_3d_default())
      return norm.isf(np.linspace(1.0 / p, 1.0 - 1.0 / p, p)).reshape(
          _shape_3d_default()
      )
  
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 3 for calling a global function with example usage: data_norm_isf() and returns: norm