code: def test_designs_with_negative_onsets_warning(frame_times):
      with pytest.warns(
          UserWarning,
          match="Some stimulus onsets are earlier than",
      ):
          make_first_level_design_matrix(
              events=design_with_negative_onsets(),
              frame_times=frame_times,
          )
  
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 25 for calling a global function with example usage: test_designs_with_negative_onsets_warning(frame_times) without return types