acceptability.py 文件源码

def calc_norm_lp_div_scores(
        log_prob_scores: List[float],
        unigram_scores: List[float]) -> List[Union[None, float]]:
    r"""
    .. math:
        \frac{%
            \log P_\text{model}\left(\xi\right)
        }{%
            \log P_\text{unigram}\left(\xi\right)
        }
    >>> '{:.3f}'.format(calc_norm_lp_div_scores([-14.7579], [-35.6325])[0])
    '-0.414'
    """
    results = []
    for log_prob, unigram_score in zip(log_prob_scores, unigram_scores):
        if log_prob is None or numpy.isclose(unigram_score, 0.0, rtol=1e-05):
            x = None
        else:
            x = (-1.0) * float(log_prob) / float(unigram_score)
        results.append(x)
    return results