Like the N-convex algorithm, this algorithm attempts to find a set of candidates whose centroid is close to . The key difference is that instead of taking unique candidates, we allow candidates to populate the set multiple times. The result is that the weight of each candidate is simply given by its frequency in the list, which we can then index by random selection:
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Dora入行不久，却深知自己与“老虎”之间的差距。“她们有那个，（胸部）很大，我就不行，身材不好。她们一看到客人就抱过去，我都不会呀！”
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Мерц резко сменил риторику во время встречи в Китае09:25