f305086031fc31a838d5b6c06eec35fd5cd16038,scripts/score_moe.py,,intra_ref,#Any#,130

Before Change



def intra_ref(refs):
    print("ref pairwise BLEU: %.2f" % pairwise(refs))
    _ref, _hypo = [], []
    for rs in refs:
        for i, h in enumerate(rs):
            rest = rs[:i] + rs[i+1:]
            s = [sentence_bleu(r, h) for r in rest]

After Change


    print("ref pairwise BLEU: %.2f" % pairwise(refs))
    refs = list(zip(*refs))
    m = len(refs)
    concat_h = []
    concat_rest = [[] for j in range(m - 1)]
    for i, h in enumerate(refs):
        rest = refs[:i] + refs[i+1:]
        concat_h.append(h)
        for j in range(m - 1):
            concat_rest[j].extend(rest[j])
    concat_h = list(chain.from_iterable(concat_h))
    bleu = corpus_bleu(concat_h, concat_rest)
    print("multi-reference BLEU (leave-one-out): %.2f" % bleu)


if __name__ == "__main__":
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 7

Instances


Project Name: pytorch/fairseq
Commit Name: f305086031fc31a838d5b6c06eec35fd5cd16038
Time: 2019-03-19
Author: myleott@fb.com
File Name: scripts/score_moe.py
Class Name:
Method Name: intra_ref


Project Name: tensorflow/datasets
Commit Name: 41f1eda45f6a55b792c66314c3c82118afe1ea02
Time: 2019-10-24
Author: epot@google.com
File Name: setup.py
Class Name:
Method Name: