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Quadtrees are everywhere spatial data exists. Mapping services use quadtree-like tile pyramids to serve map tiles at different zoom levels (Bing's quadkey system, for example, addresses tiles as base-4 paths). Game engines use them for collision detection and visibility culling. Geographic information systems use spatial indexes to store and query spatial datasets. PostGIS uses GiST indexes (R-tree-style) for spatial queries on geometries, while PostgreSQL's core supports quadtree-like SP-GiST indexes for certain data types like points.

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we also have a Rust implementation of the core engine, but it’s there because we want a native library without dependencies and good UTF-8 support, not because it’s necessarily faster. in fact, the F# version is faster than the Rust version - .NET has an effortless way to vectorize regexes with SearchValues<T, and our implementation is able to detect and utilize these opportunities when most other engines can’t. replicating what .NET gives you for free would take considerable effort, and i haven’t done that in Rust yet - especially since many existing SIMD subroutines only work left to right, while .NET also provides right-to-left variants needed for our bidirectional matching.

runtimes, firmware, system services, debugging artifacts, and other components.

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这个细节如果属实,那基本意味着zhou跟林早就是要二选一。

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