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.
插件： 解析函数调用，调用 changeBackgroundColor(“red”)，将结果发送给模型，模型生成响应：“完成！背景现在是红色了。”
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转机出现了，下滚的牛被两棵树挡住，随即弹进了树旁的深坑，卡在坑里喘着粗气。几经周折，这头牛被拉出了坑，但它被重重摔过两次，早没了力气，没走几步路就四仰八叉地下滑，后面卧在沟底不动弹了。
，更多细节参见Safew下载
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