librosa/util/matching.py
def __match_interval_overlaps(query, intervals_to, candidates):  # pragma: no cover
    '''Find the best Jaccard match from query to candidates'''

    best_score = -1
    best_idx = -1
    for idx in candidates:
        score = __jaccard(query, intervals_to[idx])

        if score > best_score:
            best_score, best_idx = score, idx
    return best_idx
def __match_interval_overlaps(query, intervals_to, candidates):  # pragma: no cover
    '''Find the best Jaccard match from query to candidates'''

    best_score = -1
    best_idx = -1
    for idx in candidates:
        score = __jaccard(query, intervals_to[idx])

        if score > best_score:
            best_score, best_idx = score, idx
    return best_idx
def __match_interval_overlaps ( query , intervals_to , candidates ) : # pragma: no cover best_score = - 1 best_idx = - 1 for idx in candidates : score = __jaccard ( query , intervals_to [ idx ] ) if score > best_score : best_score , best_idx = score , idx return best_idx
Find the best Jaccard match from query to candidates
Find the best Jaccard match from query to candidates