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def rouge_l_corpus(peers, models):
    curpus_size = len(peers)
    rouge_score = 0
    for (peer, model) in zip(peers, models):
        rouge_score += rouge_l(peer, model)
    return rouge_score / curpus_size

def rouge_l(peer, models):
    """
    Compute the ROUGE-L score of a peer with respect to one or more models.
    """
    matches = 0
    recall_total = 0
    for model in models:
        matches += lcs(model, peer)
        recall_total += len(model)
    precision_total = len(models) * len(peer)
    return _safe_f1(matches, recall_total, precision_total)