8d66949a4703a04df75e8ab836c9eb22c26ecc09,moabb/datasets/bnci.py,,_load_data_001_2015,#Any#Any#Any#Any#Any#Any#,228

Before Change

    else:
        sessions = ["A", "B"]

    data_paths = []
    for r in sessions:
        url = "{u}001-2015/S{s:02d}{r}.mat".format(u=base_url, s=subject, r=r)
        data_paths.extend(data_path(url, path, force_update, update_path))

    ch_names = [
        "FC3", "FCz", "FC4", "C5", "C3", "C1", "Cz", "C2", "C4", "C6", "CP3",
        "CPz", "CP4"
    ]
    ch_types = ["eeg"] * 13

    return _convert_mi(data_paths, ch_names, ch_types)


@verbose
def _load_data_003_2015(subject,

After Change

                "CP3", "CPz", "CP4"]
    ch_types = ["eeg"] * 13

    sessions = {}
    for r in ses:
        url = "{u}001-2015/S{s:02d}{r}.mat".format(u=base_url, s=subject, r=r)
        filename = data_path(url, path, force_update, update_path)
        runs, ev = _convert_mi(filename[0], ch_names, ch_types)
        sessions["session_%s" % r] = {"run_%d" % ii: run
                                      for ii, run in enumerate(runs)}
    return sessions


@verbose
def _load_data_003_2015(subject,

Instances