code: def test_slm_reporting(slm):
      """Smoke test for the second level model generate method."""
      c1 = np.eye(len(slm.design_matrix_.columns))[0]
      slm.generate_report(c1, threshold=2, alpha=0.01)
  
imports: import numpy
  import pandas
  import pytest
  from nibabel import load
  from nilearn._utils.data_gen import write_fake_fmri_data_and_design
  from nilearn.glm.first_level import FirstLevelModel
  from nilearn.glm.first_level.design_matrix import make_first_level_design_matrix
  from nilearn.glm.second_level import SecondLevelModel
  from nilearn.maskers import NiftiMasker
  from nilearn.reporting import glm_reporter
label_desc: Use image node_id 6 for calling a global function with example usage: test_slm_reporting(slm) without return types