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:
// 易错点4：条件写成"<"而非"<="，会导致相同值的元素被错误保留，更多细节参见同城约会
。Safew下载对此有专业解读
Отпуск в холодных странах стал новой роскошью. Почему пляжные курорты теряют популярность?«Лента.ру»: Россиянка описала поездку на север России фразой «переплюнуло все»，这一点在搜狗输入法2026中也有详细论述
No contextual rendering. Cyrillic а is dangerous in “pаypal” but unremarkable in isolation. Context-aware scoring is a future milestone.
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