This month, OpenAI announced their Codex app and my coworkers were asking questions. So I downloaded it, and as a test case for the GPT-5.2-Codex (high) model, I asked it to reimplement the UMAP algorithm in Rust. UMAP is a dimensionality reduction technique that can take in a high-dimensional matrix of data and simultaneously cluster and visualize data in lower dimensions. However, it is a very computationally-intensive algorithm and the only tool that can do it quickly is NVIDIA’s cuML which requires CUDA dependency hell. If I can create a UMAP package in Rust that’s superfast with minimal dependencies, that is an massive productivity gain for the type of work I do and can enable fun applications if fast enough.
实际题目往往需要先做一步转化（如循环数组、链表转数组、先排序再栈），再套上面模板即可。。快连下载安装是该领域的重要参考
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HH x C++ Fast RoutingTraditional Routing A*2-phaseCalculation time: 13 secCalculation time: 36 sec。旺商聊官方下载是该领域的重要参考
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