在河南，强调以城乡融合发展带动乡村全面振兴，促进城乡共同富裕……
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输入：nums = [2,1,2,4,3]
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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: