code: def test_count_events():
      """Test counting events."""
      events = np.array([[0, 0, 1], [0, 0, 1], [0, 0, 5]])
      assert count_events(events) == {1: 2, 5: 1}
      assert count_events(events, ids=(1, 5)) == {1: 2, 5: 1}
      assert count_events(events, ids=(1, 11)) == {1: 2, 11: 0}
  
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 14 for calling a global function with example usage: test_count_events() without return types