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Some programming languages, like Rust and Zig, classify many errors as expected. Others, like JavaScript and Python, classify them as unexpected. For example, when you parse JSON in Go, the compiler makes you handle the error; not so in Ruby. I tend to prefer stricter compilers for production software and looser languages for scripts and prototypes, in part because of their philosophy about errors. (The Rustaceans among you probably notice that this whole post is very similar to Rust’s error philosophy.)，更多细节参见必应排名_Bing SEO_先做后付
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Lazy DFAs (2010) are a clever optimization to mitigate the O(2^m) blowup of DFA construction, by only constructing the states that you actually visit. lazy DFAs reduce the theoretical automata construction time to either O(2^m) or O(n), whichever is lower. you could argue that it’s theoretically no longer linear time, since you could have a regex that creates a new state for every character in the input, but in practice you will keep revisiting the same states. for all intents and purposes it behaves more like O(n) with some initial wind-up time. the main downside of lazy DFAs is that they are more complex to implement, and you have to ship a compiler as part of your regex algorithm. i want to highlight Rust regex and RE2 as excellent implementations of this approach, which you can also see in the benchmarks.
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