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Maybe I’ll even have fewer competitors in the long run, or at least not as many new competitors. Because at some point it’s not about how good a programmer you are (and I’ve always been a middle-tier programmer), it’s about discipline and vision.

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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.

从“走出去”到“绕不开”第一组数据来自中国汽车工业协会:2026年1月,中国汽车出口68.1万辆,同比增长44.9%。其中新能源汽车出口30.2万辆,同比翻倍。更关键的是结构变化:纯电动车占新能源出口65%,插混车型同比增长97.3%。

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