For well-distributed points, nearest neighbor search is often near O(logn)O(\log n)O(logn) in practice. In the worst case (all points clustered tightly or along a line), it can degrade to O(n)O(n)O(n), but this is uncommon with typical spatial data.
Option 2: For very localized changes, it might even re-evaluate all shortcuts within that one affected cluster.
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，更多细节参见51吃瓜
dest[i] = (offset + i) & 0xFF;，详情可参考91视频
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