code: def test_slm_reporting_method(slm, height_control):
      """Smoke test for the second level reporting."""
      c1 = np.eye(len(slm.design_matrix_.columns))[0]
      report_slm = glmr.make_glm_report(
          slm,
          c1,
          height_control=height_control,
          threshold=2,
          alpha=0.01,
      )
      # catches & raises UnicodeEncodeError in HTMLDocument.get_iframe()
      report_slm.get_iframe()
  
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 5 for calling a global function with example usage: test_slm_reporting_method(slm, height_control) without return types