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.
The test channel ID to scrape is: `UC9ecwl3FTG66jIKA9JRDtmg`
，更多细节参见搜狗输入法2026
for each candidate in list of candidates
platform.Foundation.NSData.create(