Three.js 零基础入门：手把手打造交互式 3D 几何体展示系统
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# outputs.append(input.flatten(end_dim=1)[indices].reshape(bs, k, -1))，详情可参考夫子
if (response is TextResponse) {
After OpenAI released GPT-5.3-Codex (high) which performed substantially better and faster at these types of tasks than GPT-5.2-Codex, I asked Codex to write a UMAP implementation from scratch in Rust, which at a glance seemed to work and gave reasonable results. I also instructed it to create benchmarks that test a wide variety of representative input matrix sizes. Rust has a popular benchmarking crate in criterion, which outputs the benchmark results in an easy-to-read format, which, most importantly, agents can easily parse.