code: def test_equalize_channels():
      """Test equalization of channels."""
      evoked1 = read_evokeds(fname, condition=0, proj=True)
      evoked2 = evoked1.copy()
      ch_names = evoked1.ch_names[2:]
      evoked1.drop_channels(evoked1.ch_names[:1])
      evoked2.drop_channels(evoked2.ch_names[1:2])
      my_comparison = [evoked1, evoked2]
      my_comparison = equalize_channels(my_comparison)
      for e in my_comparison:
          assert_equal(ch_names, e.ch_names)
  
imports: import pickle
  from copy import deepcopy
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_almost_equal, assert_array_equal, assert_equal
  from scipy import fftpack
  from mne import Epochs, EpochsArray, combine_evoked, create_info, equalize_channels, pick_types, read_events, read_evokeds, write_evokeds
  from mne._fiff.constants import FIFF
  from mne.evoked import Evoked, EvokedArray, _get_peak
  from mne.io import read_raw_fif
  from mne.utils import grand_average
label_desc: Use image node_id 20 for calling a global function with example usage: test_equalize_channels() without return types