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.
The park previously hosted the 2024 Summer Sessions festival, which was headlined by Tom Jones, Busted and Shania Twain.，这一点在PDF资料中也有详细论述
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So I can tell you how it worked because I had to deal with it at Google for very, very many years after any of this was relevant.
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