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:
raw := try parseJSON(data)
。PDF资料对此有专业解读
Deprecated: --alwaysStrict false。关于这个话题，heLLoword翻译官方下载提供了深入分析
“유통기한 짧다” 케이크 사 간 다음날 찾아온 손님, 빵던져 난장판 [e글e글]。关于这个话题，51吃瓜提供了深入分析