code: def test_flm_reporting_method(flm):
      """Smoke test for the first level generate method."""
      contrast = np.eye(3)[1]
      flm.generate_report(
          contrast,
          plot_type="glass",
          min_distance=15,
          alpha=0.01,
          threshold=2,
      )
  
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 3 for calling a global function with example usage: test_flm_reporting_method(flm) without return types