2012年夏天，还在读大学的我第一次到香港。人潮汹涌中，我与朋友经旺角、油麻地穿到尖东，按记忆中港片的图景一一索骥，填满“油尖旺”的拼图。到达尖东时，夜色降临，我瞥见一个巷子悬挂的招牌，先是边缘的灯管闪了一下，再一节一节接上电流，像城市在缓慢地恢复呼吸。不多时，这个城市的霓虹便次第点亮。其中一块灯牌属于大富豪夜总会，当时它被视为香港最大、最豪华的高端夜总会之一。
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:first-child]:h-full [&:first-child]:w-full [&:first-child]:mb-0 [&:first-child]:rounded-[inherit] h-full w-full，这一点在51吃瓜中也有详细论述
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.
The single most important addition in V2 was a function to make my hooked methods lie about what they are: