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The efficiency depends on the query size relative to the data distribution. A small query in a sparse region prunes almost everything. A query that covers the whole space prunes nothing (because every node overlaps), degenerating to a brute-force scan. The quadtree gives you the most benefit when your queries are spatially local, which is exactly the common case for map applications, game physics, and spatial databases.

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(二)对未成年人、老年人、患病的人、残疾人等负有监护、看护职责的人虐待被监护、看护的人的;

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const stack = []; // 存更大温度的索引栈(核心优化:仅存索引,替代对象)