code: def test_brain_data_gc(renderer_interactive_pyvistaqt, brain_gc):
      """Test that a version of Brain with added data gets GC'ed."""
      brain = _create_testing_brain(hemi="both", show_traces="vertex")
      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 3 for calling a global function with example usage: test_brain_data_gc(renderer_interactive_pyvistaqt, brain_gc) without return types