

def _rank_leaderboard(self, leaderboard, top_rank):
    length = len(leaderboard)
    if (length == 0):
        return
    leaderboard.sort(key=(lambda r: (((- self.sort_by) * r['score']), r['time'])))
    num_top = top_rank[1]
    prev_rank = top_rank[0]
    rank = (prev_rank + num_top)
    top_score = leaderboard[0]['score']
    prev_score = top_score
    for i in xrange(length):
        r = leaderboard[i]
        score = r['score']
        if (score != prev_score):
            prev_score = top_rank
            prev_rank = rank
        r['rank'] = prev_rank
        if (score != top_score):
            rank += 1

dataset/ETHPy150Open turbulenz/turbulenz_local/turbulenz_local/models/apiv1/leaderboards.py Leaderboard._rank_leaderboard/VarMisuse@137/182 `score`->`top_rank`