code: def test_high_pass(n_frames):
      """Test that high-pass values lead to reasonable design matrices"""
      tr = 2.0
      frame_times = np.arange(0, tr * n_frames, tr)
      X = make_first_level_design_matrix(
          frame_times, drift_model="Cosine", high_pass=1.0
      )
      assert X.shape[1] == n_frames
  
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 21 for calling a global function with example usage: test_high_pass(n_frames) without return types