code: def test_plot_compare_evokeds_neuromag122():
      """Test topomap plotting."""
      evoked = mne.read_evokeds(
          evoked_fname, "Left Auditory", baseline=(None, 0)
      )
      evoked.pick(picks="grad")
      evoked.pick(evoked.ch_names[:122])
      ch_names = ["MEG %03d" % k for k in range(1, 123)]
      for c in evoked.info["chs"]:
          c["coil_type"] = FIFF.FIFFV_COIL_NM_122
      evoked.rename_channels(
          {
              c_old: c_new
              for (c_old, c_new) in zip(evoked.ch_names, ch_names)
          }
      )
      mne.viz.plot_compare_evokeds([evoked, evoked])
  
imports: from pathlib import Path
  import matplotlib.pyplot
  import numpy
  import pytest
  from matplotlib import gridspec
  from matplotlib.collections import PolyCollection
  from matplotlib.colors import same_color
  from mpl_toolkits.axes_grid1.parasite_axes import HostAxes
  from numpy.testing import assert_allclose
  import mne
  from mne import Epochs, compute_covariance, compute_proj_evoked, make_fixed_length_events, read_cov, read_events
  from mne._fiff.constants import FIFF
  from mne.datasets import testing
  from mne.io import read_raw_fif
  from mne.stats.parametric import _parametric_ci
  from mne.utils import catch_logging
  from mne.viz import plot_compare_evokeds, plot_evoked_white
  from mne.viz.utils import _fake_click, _get_cmap
label_desc: Use image node_id 11 for calling a global function with example usage: test_plot_compare_evokeds_neuromag122() without return types