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.
There are several scripts in the tests folder to run different types of benchmarks, one of them is tests/bench_comprehensive.sh, another tests/gen_cross_version_benchmarks.py.
，推荐阅读体育直播获取更多信息
ВсеИнтернетКиберпреступностьCoцсетиМемыРекламаПрессаТВ и радиоФактчекинг
through my own lens (notably the Computer History Museum did a thorough