Performance & security by Cloudflare
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.，这一点在体育直播中也有详细论述
Sonnet 4.5, Opus 4.5, Opus 4.6，这一点在体育直播中也有详细论述
Still, when my plane’s turn came, the takeoff was as exhilarating as ever—the low rumble and rising thrum, the smooth detachment and sudden lift, and then the surge through clouds into a piercing blue sky. To fly is to be suspended in disbelief. Hurtling through thin air at subzero temperatures, thirty-five thousand feet above Earth, you have no choice but to trust that the atmosphere won’t kill you. That the giant machine you’ve boarded won’t fall apart. A Boeing 777 is pieced together from more than three million components, many of them essential to keeping it aloft. And the atmosphere has countless more moving parts. As the French aviation pioneer Pierre-Georges Latécoère put it, in 1918, “I’ve redone all the calculations, and they confirm what the experts say: It can’t work. There’s only one thing to do: Make it work.”