code: def test_brain_ui_events(renderer_interactive_pyvistaqt, brain_gc):
      """Test responding to Brain related UI events."""
      brain = _create_testing_brain(hemi="lh", show_traces="vertex")
  
      ui_events.publish(brain, ui_events.TimeChange(time=1))
      assert brain._current_time == 1
  
      ui_events.publish(
          brain, ui_events.VertexSelect(hemi="lh", vertex_id=1)
      )
      assert 1 in brain.picked_points["lh"]
  
      ui_events.publish(
          brain,
          ui_events.ColormapRange(
              kind="distributed_source_power",
              fmin=1,
              fmid=2,
              fmax=3,
              alpha=True,
          ),
      )
      assert_array_equal(brain._data["ctable"][:3, 3], [0, 2, 4])
  
      # This event should be ignored.
      ui_events.publish(
          brain,
          ui_events.ColormapRange(
              kind="unknown_kind", fmin=10, fmid=11, fmax=12, alpha=True
          ),
      )
      # Should remain unchanged.
      assert_array_equal(brain._data["ctable"][:3, 3], [0, 2, 4])
  
      brain.close()
  
imports: import os
  import platform
  from pathlib import Path
  from shutil import copyfile
  import numpy
  import pytest
  from matplotlib import image
  from matplotlib.lines import Line2D
  from numpy.testing import assert_allclose, assert_array_equal
  from mne import Dipole, MixedSourceEstimate, SourceEstimate, VolSourceEstimate, create_info, pick_types_forward, read_cov, read_evokeds, read_forward_solution, read_source_estimate, vertex_to_mni, write_surface
  from mne.channels import make_dig_montage
  from mne.datasets import testing
  from mne.io import read_info
  from mne.label import read_label
  from mne.minimum_norm import apply_inverse, make_inverse_operator
  from mne.source_estimate import _BaseSourceEstimate
  from mne.source_space import read_source_spaces, setup_volume_source_space
  from mne.utils import check_version
  from mne.viz import ui_events
  from mne.viz._brain import Brain, _BrainScraper, _LayeredMesh, _LinkViewer
  from mne.viz._brain.colormap import calculate_lut
  from mne.viz.utils import _get_cmap
label_desc: Use image node_id 19 for calling a global function with example usage: test_brain_ui_events(renderer_interactive_pyvistaqt, brain_gc) without return types