def METHOD_NAME(fname):
    """Test reading BOXY files and generating annotations from digaux."""
    srate = 79.4722
    raw = read_raw_boxy(fname, verbose=True)
    # Grab our different data types.
    picks_dc = pick_types(raw.info, fnirs="fnirs_cw_amplitude")
    picks_ac = pick_types(raw.info, fnirs="fnirs_fd_ac_amplitude")
    picks_ph = pick_types(raw.info, fnirs="fnirs_fd_phase")
    assert_array_equal(picks_dc, np.arange(0, 8) * 3 + 0)
    assert_array_equal(picks_ac, np.arange(0, 8) * 3 + 1)
    assert_array_equal(picks_ph, np.arange(0, 8) * 3 + 2)
    # Check that our event order matches what we expect.
    event_list = ["1.0", "2.0", "3.0", "4.0", "5.0"]
    assert_array_equal(raw.annotations.description, event_list)
    # Check that our event timings are what we expect.
    event_onset = [i_time * (1.0 / srate) for i_time in [105, 185, 265, 344, 424]]
    assert_allclose(raw.annotations.onset, event_onset, atol=1e-6)
    # Now let's compare parsed and unparsed events to p_pod loaded digaux.
    # Load our p_pod data.
    ppod_data = spio.loadmat(p_pod_0_84)
    ppod_digaux = np.transpose(ppod_data["digaux"])[0]
    # Now let's get our triggers from the p_pod digaux.
    # We only want the first instance of each trigger.
    prev_mrk = 0
    mrk_idx = list()
    duration = list()
    tmp_dur = 0
    for i_num, i_mrk in enumerate(ppod_digaux):
        if i_mrk != 0 and i_mrk != prev_mrk:
            mrk_idx.append(i_num)
        if i_mrk != 0 and i_mrk == prev_mrk:
            tmp_dur += 1
        if i_mrk == 0 and i_mrk != prev_mrk:
            duration.append((tmp_dur + 1) * (1.0 / srate))
            tmp_dur = 0
        prev_mrk = i_mrk
    onset = np.asarray([i_mrk * (1.0 / srate) for i_mrk in mrk_idx])
    description = np.asarray([str(float(i_mrk)) for i_mrk in ppod_digaux[mrk_idx]])
    assert_array_equal(raw.annotations.description, description)
    assert_allclose(raw.annotations.onset, onset, atol=1e-6)