code: def test_eximia_nxe():
      """Test reading Eximia NXE files."""
      fname = testing_path / "eximia" / "test_eximia.nxe"
      raw = read_raw_eximia(fname, preload=True)
      assert "RawEximia" in repr(raw)
      _test_raw_reader(
          read_raw_eximia,
          fname=fname,
          test_scaling=False,  # XXX probably a scaling problem
      )
      fname_mat = testing_path / "eximia" / "test_eximia.mat"
      mc = sio.loadmat(fname_mat)
      m_data = mc["data"]
      m_header = mc["header"]
      assert raw._data.shape == m_data.shape
      assert m_header["Fs"][0, 0][0, 0] == raw.info["sfreq"]
      m_names = [x[0][0] for x in m_header["label"][0, 0]]
      m_names = list(
          map(
              lambda x: x.replace("GATE", "GateIn").replace(
                  "TRIG", "Trig"
              ),
              m_names,
          )
      )
      assert raw.ch_names == m_names
      m_ch_types = [x[0][0] for x in m_header["chantype"][0, 0]]
      m_ch_types = list(
          map(
              lambda x: x.replace("unknown", "stim").replace(
                  "trigger", "stim"
              ),
              m_ch_types,
          )
      )
      types_dict = {2: "eeg", 3: "stim", 202: "eog"}
      ch_types = [
          types_dict[raw.info["chs"][x]["kind"]]
          for x in range(len(raw.ch_names))
      ]
      assert ch_types == m_ch_types
  
      assert_array_equal(m_data, raw._data)
  
imports: from numpy.testing import assert_array_equal
  from scipy import io
  from mne.datasets.testing import data_path, requires_testing_data
  from mne.io import read_raw_eximia
  from mne.io.tests.test_raw import _test_raw_reader
label_desc: Use image node_id 1 for calling a global function with example usage: test_eximia_nxe() without return types