, sessProc :: ProcessHandle
NFAs are cheaper to construct, but have a O(n*m) matching time, where n is the size of the input and m is the size of the state graph. NFAs are often seen as the reasonable middle ground, but i disagree and will argue that NFAs are worse than the other two. they are theoretically “linear”, but in practice they do not perform as well as DFAs (in the average case they are also much slower than backtracking). they spend the complexity in the wrong place - why would i want matching to be slow?! that’s where most of the time is spent. the problem is that m can be arbitrarily large, and putting a large constant of let’s say 1000 on top of n will make matching 1000x slower. just not acceptable for real workloads, the benchmarks speak for themselves here.
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有开发者构建的 OpenClaw 实例扫描器，观测数据显示目前暴露在公网上的实例合计共有 23.49 万个，其中少部分实例已经是离线状态，大部分实例还是在线状态。
What it did give me was a clean control-flow model and a solid latency baseline to compare against. With that in place, it was time to wire in the full pipeline.