code: def test_design_matrix(
      frame_times,
      n_frames,
      events,
      hrf_model,
      drift_model,
      drift_order,
      high_pass,
      nb_regressors,
  ):
      X, names = design_matrix_light(
          frame_times,
          events=events,
          hrf_model=hrf_model,
          drift_model=drift_model,
          drift_order=drift_order,
          high_pass=high_pass,
      )
      assert len(names) == nb_regressors
      assert X.shape == (n_frames, nb_regressors)
  
imports: from os import path
  import numpy
  import pandas
  import pytest
  from numpy.testing import assert_almost_equal, assert_array_almost_equal, assert_array_equal
  from nilearn._utils.data_gen import basic_paradigm
  from nilearn.glm.first_level.design_matrix import _convolve_regressors, check_design_matrix, create_cosine_drift, make_first_level_design_matrix, make_second_level_design_matrix
  from ._testing import block_paradigm, design_with_negative_onsets, modulated_block_paradigm, modulated_event_paradigm, spm_paradigm
label_desc: Use image node_id 10 for calling a global function with example usage: test_design_matrix(frame_times, n_frames, events, hrf_model, drift_model, drift_order, high_pass, nb_regressors) without return types