acceptability.py 文件源码

def calc_mean_lp_scores(log_prob_scores: List[float],
                        lengths: List[int]) -> List[Union[None, float]]:
    r"""
    .. math:
        \frac{%
            \log P_\text{model}\left(\xi\right)
            }{%
              \text{length}\left(\xi\right)
            }
    >>> '{:.3f}'.format(calc_mean_lp_scores([-14.7579], [4])[0])
    '-3.689'
    """
    mean_lp_scores = []
    for score, length in zip(log_prob_scores, lengths):
        x = None \
            if score is None or length == 0 \
            else float(score) / float(length)
        mean_lp_scores.append(x)
    return mean_lp_scores