Ubrani admits that if you look at the Apple Watch SE versus the base Apple Watch versus the Ultra, “the SE arguably gives you 95 percent experience of the base, which then gives you 95 percent experience of the Ultra. But the price gap is huge between those models. Huge.” He agrees that Ultra is aimed at a group of users who will pay a lot more to have diving capabilities and a rugged design. “You charge a premium for those, simply because you can and because people will pay for it,” he says.
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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