def METHOD_NAME(score_list, max_score_length, default_vote=1, base=3):
    """
    Normalise scores calculated using the MJ algorithm by assuming padding
    a score_list with default_vote's until it is a certain length.
    This means that a score list of [2, 2] == [2, 1, 2].
    The default value is assumed to be a 'neutral' score of 1 in base 3.
    This is depricated, do not use
    """
    if not (0 <= default_vote < base):
        raise MajorityJudgementException(
            "Incorrectly set default, must be "
            "between 0 and %s (inclusive)." % (base - 1)
        )
    score_list = list(score_list)[:]
    list_len = len(score_list)
    if list_len > max_score_length:
        raise MajorityJudgementException(
            "Score list is too long, must be " "less than %s." % max_score_length
        )
    # If required pad the list
    if list_len < max_score_length:
        to_add = [default_vote] * (max_score_length - list_len)
        score_list = score_list + to_add
    return calculate_score(score_list, base)