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:
将豆腐切成麻将大小的方块，轻轻埋入柏树灰中，让其酣睡一夜。这个过程中柏树灰将豆腐完全浸渍，豆腐在柏树灰中尽情呼吸，吸收其间的矿物质和碱性成分，同时挥发部分水分，为炒制做准备。浸渍一夜，时长刚刚好。，推荐阅读雷电模拟器官方版本下载获取更多信息
Еще один важный совет — не стесняться отказываться от неудачных решений.，这一点在heLLoword翻译官方下载中也有详细论述
expect class PlatformByteArray
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