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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«Уничтожение пункта временной дислокации 100-й отдельной мотострелковой бригады ВСУ с применением ФАБ-3000 в населенном пункте Константиновка», — указано в сообщении.
self.writer = csv.DictWriter(，更多细节参见im钱包官方下载