code: def test_brain_colorbar(orientation, diverging, lims):
      """Test brain colorbar plotting."""
      _, ax = plt.subplots()
      clim = dict(kind="value")
      if diverging:
          clim["pos_lims"] = lims
      else:
          clim["lims"] = lims
      cbar = plot_brain_colorbar(ax, clim, orientation=orientation)
      ax = (
          cbar.ax
      )  # in newer mpl this can be inset axes relative to the orig
      if orientation == "vertical":
          have, empty = ax.get_yticklabels, ax.get_xticklabels
      else:
          have, empty = ax.get_xticklabels, ax.get_yticklabels
      if diverging:
          if lims[0] == 0:
              ticks = list(-np.array(lims[1:][::-1])) + lims
          else:
              ticks = list(-np.array(lims[::-1])) + [0] + lims
      else:
          ticks = lims
      ax.figure.canvas.draw_idle()
      assert_array_equal(
          [float(h.get_text().replace("−", "-")) for h in have()], ticks
      )
      assert_array_equal(empty(), [])
  
imports: from pathlib import Path
  import matplotlib.pyplot
  import numpy
  import pytest
  from matplotlib.colors import Colormap
  from matplotlib.figure import Figure
  from numpy.testing import assert_allclose, assert_array_equal
  from mne import MixedSourceEstimate, SourceEstimate, convert_forward_solution, make_field_map, make_sphere_model, pick_info, pick_types, read_dipole, read_evokeds, read_forward_solution, read_trans, setup_volume_source_space, use_coil_def
  from mne._fiff._digitization import write_dig
  from mne._fiff.constants import FIFF
  from mne.bem import read_bem_solution, read_bem_surfaces
  from mne.datasets import testing
  from mne.defaults import DEFAULTS
  from mne.io import read_info, read_raw_bti, read_raw_ctf, read_raw_kit, read_raw_nirx
  from mne.minimum_norm import apply_inverse
  from mne.source_estimate import _BaseVolSourceEstimate
  from mne.source_space import read_source_spaces
  from mne.transforms import Transform
  from mne.utils import _record_warnings, catch_logging
  from mne.viz import Brain, EvokedField, Figure3D, link_brains, mne_analyze_colormap, plot_alignment, plot_brain_colorbar, plot_head_positions, plot_source_estimates, plot_sparse_source_estimates, snapshot_brain_montage
  from mne.viz._3d import _get_map_ticks, _linearize_map, _process_clim
  from mne.viz.utils import _fake_click, _fake_keypress, _fake_scroll, _get_cmap
label_desc: Use image node_id 19 for calling a global function with example usage: test_brain_colorbar(orientation, diverging, lims) without return types