过去，自动化工具（RPA、脚本、宏）需要针对每个应用程序单独编写规则。
type Transform = fn(int) - int;。新收录的资料对此有专业解读
，详情可参考新收录的资料
freq := count_words(words);，推荐阅读新收录的资料获取更多信息
https://joev.dev/posts/unprivileged-process-injection-techniques-in-linux
i ran some comparisons on state representation width - 16-bit state IDs fit noticeably better into CPU cache than wider ones, and if you’re hitting 64K+ states you’re probably better off splitting into two simpler patterns anyway. one design decision i’m happy with is that when the engine hits a limit - state capacity, lookahead context distance - it returns an error instead of silently falling back to a slower algorithm. as the benchmarks above show, “falling back” can mean a 1000x+ slowdown, and i’d rather you know about it than discover it in production. RE# will either give you fast matching or tell you it can’t.