code: def test_define_events():
      """Test defining response events."""
      events = read_events(fname)
      raw = read_raw_fif(raw_fname)
      events_, _ = define_target_events(
          events, 5, 32, raw.info["sfreq"], 0.2, 0.7, 42, 99
      )
      n_target = events[events[:, 2] == 5].shape[0]
      n_miss = events_[events_[:, 2] == 99].shape[0]
      n_target_ = events_[events_[:, 2] == 42].shape[0]
  
      assert n_target_ == (n_target - n_miss)
  
      events = np.array(
          [
              [0, 0, 1],
              [375, 0, 2],
              [500, 0, 1],
              [875, 0, 3],
              [1000, 0, 1],
              [1375, 0, 3],
              [1100, 0, 1],
              [1475, 0, 2],
              [1500, 0, 1],
              [1875, 0, 2],
          ]
      )
      true_lag_nofill = [1500.0, 1500.0, 1500.0]
      true_lag_fill = [1500.0, np.nan, np.nan, 1500.0, 1500.0]
      n, lag_nofill = define_target_events(
          events, 1, 2, 250.0, 1.4, 1.6, 5
      )
      n, lag_fill = define_target_events(
          events, 1, 2, 250.0, 1.4, 1.6, 5, 99
      )
  
      assert_array_equal(true_lag_fill, lag_fill)
      assert_array_equal(true_lag_nofill, lag_nofill)
  
imports: import os
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_equal
  from mne import Annotations, Epochs, compute_raw_covariance, count_events, create_info, find_events, find_stim_steps, make_fixed_length_events, pick_channels, pick_events, read_events, read_evokeds, write_events
  from mne.datasets import testing
  from mne.event import AcqParserFIF, define_target_events, match_event_names, merge_events, shift_time_events
  from mne.io import RawArray, read_raw_fif
label_desc: Use image node_id 9 for calling a global function with example usage: test_define_events() without return types