后来交流才知道，他对 AI 协作编程非常熟练。
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.
。关于这个话题，搜狗输入法下载提供了深入分析
res[i] = stack.length ? cur - stack[stack.length - 1] : cur;，这一点在51吃瓜中也有详细论述
Felo 的执行步骤很有趣，它先预设了不同用户对象，并生成相应的故事线大纲，你可以修改或删除某页大纲，也可以生成新的大纲：