// 1. 将当日价格存入数组，记录当前索引（i是当前价格在arr中的位置）
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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63-летняя Деми Мур вышла в свет с неожиданной стрижкой17:54