2dd49058dba6cf1527e2414221d4b08b127f96d5,mne/forward/forward.py,,_restrict_gain_matrix,#Any#Any#,1033

Before Change

        raise ValueError("G.shape[0] and length of info["chs"] do not match: "
                         "%d != %d" % (G.shape[0], len(info["chs"])))
    sel = pick_types(info, meg="grad", ref_meg=False, exclude=[])
    if len(sel) > 0:
        G = G[sel]
        logger.info("    %d planar channels" % len(sel))
    else:
        sel = pick_types(info, meg="mag", ref_meg=False, exclude=[])

After Change

    if len(info["chs"]) != G.shape[0]:
        raise ValueError("G.shape[0] (%d) and length of info["chs"] (%d) "
                         "do not match" % (G.shape[0], len(info["chs"])))
    for meg, eeg, kind in (
            ("grad", False, "planar"),
            ("mag", False, "magnetometer or axial gradiometer"),
            (False, True, "EEG")):
        sel = pick_types(info, meg=meg, eeg=eeg, ref_meg=False, exclude=[])
        if len(sel) > 0:
            logger.info("    %d %s channels" % (len(sel), kind))
            break
    else:
        warn("Could not find MEG or EEG channels to limit depth channels")
        sel = slice(None)
    return G[sel]


@verbose

Instances