d3266d6e0ff7d771bd408631f7849e2e4500bebd,conceptnet5/vectors/transforms.py,,make_replacements_faster,#Any#Any#Any#Any#,114

Before Change

            most_similar = index.get_nns_by_vector(big_frame.loc[term], 1)[0]
            replacements[term] = index_map[most_similar]

    if verbose:
        random.seed(20)
        for replacement_pair in random.sample(replacements.items(), 50):
            print(replacement_pair)
    return replacements


def make_replacements(small_frame, big_frame):

After Change

            most_similar = index_map[most_similar_index]
            replacements[term] = most_similar

            if verbose and not (len(replacements) % 1001):
                print("{} ==> {}".format(term, most_similar))
    return replacements


def make_replacements(small_frame, big_frame):

Instances