code: def test_design_matrix_regressors_provided_manually_errors(
      rng, frame_times
  ):
      ax = rng.standard_normal(size=(len(frame_times) - 1, 4))
      with pytest.raises(
          AssertionError,
          match="Incorrect specification of additional regressors:.",
      ):
          make_first_level_design_matrix(frame_times, add_regs=ax)
  
      ax = rng.standard_normal(size=(len(frame_times), 4))
      with pytest.raises(
          ValueError,
          match="Incorrect number of additional regressor names.",
      ):
          make_first_level_design_matrix(
              frame_times, add_regs=ax, add_reg_names=""
          )
  
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 7 for calling a global function with example usage: test_design_matrix_regressors_provided_manually_errors(rng, frame_times) without return types