code: def test_neuromag122_adjacency():
      """Test computing the adjacency matrix of Neuromag122-Data."""
      nm122_fname = (
          testing_path / "misc" / "neuromag122_test_file-raw.fif"
      )
      raw = read_raw_fif(nm122_fname)
      conn, ch_names = find_ch_adjacency(raw.info, "grad")
      assert conn.getnnz() == 1564
      assert len(ch_names) == 122
      assert conn.shape == (122, 122)
  
imports: import hashlib
  from copy import deepcopy
  from functools import partial
  from pathlib import Path
  import numpy
  import pytest
  from numpy.testing import assert_allclose, assert_array_equal, assert_equal
  from scipy.io import savemat
  from mne import Epochs, EpochsArray, EvokedArray, create_info, make_ad_hoc_cov, pick_channels, pick_types, read_events
  from mne._fiff.constants import FIFF, _ch_unit_mul_named
  from mne.channels import combine_channels, equalize_channels, find_ch_adjacency, get_builtin_ch_adjacencies, make_1020_channel_selections, read_ch_adjacency, read_custom_montage, rename_channels
  from mne.channels.channels import _BUILTIN_CHANNEL_ADJACENCIES, _BuiltinChannelAdjacency, _ch_neighbor_adjacency, _compute_ch_adjacency
  from mne.datasets import testing
  from mne.io import RawArray, read_info, read_raw_bti, read_raw_ctf, read_raw_eeglab, read_raw_fif, read_raw_kit
  from mne.parallel import parallel_func
  from mne.utils import requires_good_network
label_desc: Use image node_id 12 for calling a global function with example usage: test_neuromag122_adjacency() without return types