Update Status section to remove mention of missing R7RS support
John Ray Clemmons, a legislator in the Tennessee House of Representatives, described him to me as “someone who just cared very deeply.” Janet Wolf, a fellow-activist in Nashville and a close friend of Friedmann’s, mentioned “how incredibly wise he was in trying to help other people understand” the plight of prisoners. Demetria Kalodimos, a former news anchor on Nashville’s NBC station, told me that Friedmann was one of her best contacts for criminal-justice stories; she valued him both as a source and as an on-camera expert, because he “spoke the language of a lawyer,” not of a social-justice warrior. Friedmann, a member of Mensa who taught himself civil case law, could write like a lawyer, too, in briefs and legal articles. He could also write like an author. He was a guest columnist at the Tennessean and had won a PEN America award for playwriting.。clash下载是该领域的重要参考
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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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