1ae9b7d534d1d4c540ce9258820d1b8fbc97c709,moabb/datasets/bnci.py,,_load_data_004_2014,#Any#Any#Any#Any#Any#Any#,166

Before Change

        url = "{u}004-2014/B{s:02d}{r}.mat".format(u=base_url, s=subject, r=r)
        data_paths.extend(data_path(url, path, force_update, update_path))

    raws = []
    event_id = {}
    from scipy.io import loadmat

    for filename in data_paths:
        data = loadmat(filename, struct_as_record=False, squeeze_me=True)
        print(type(data["data"]))
        for run in data["data"]:
            raw, evd = _convert_run(run, ch_names, ch_types, verbose)
            raws.append(raw)
            event_id.update(evd)
    // change labels to match rest
    for old, new in [["left hand", "left_hand"], ["right hand", "right_hand"]]:
        if old in event_id.keys():
            event_id[new] = event_id.pop(old)
    return raws, event_id


@verbose
def _load_data_008_2014(subject, path=None, force_update=False,

After Change

        data_paths.extend(data_path(url, path, force_update, update_path))


    return _convert_mi(data_paths, ch_names, ch_types)


@verbose
def _load_data_008_2014(subject, path=None, force_update=False,

Instances