we assign a minterm id to each of these classes (e.g., 1 for letters, 0 for non-letters), and then compute derivatives based on these ids instead of characters. this is a huge win for performance and results in an absolutely enormous compression of memory, especially with large character classes like \w for word-characters in unicode, which would otherwise require tens of thousands of transitions alone (there’s a LOT of dotted umlauted squiggly characters in unicode). we show this in numbers as well, on the word counting \b\w{12,}\b benchmark, RE# is over 7x faster than the second-best engine thanks to minterm compressionremark here i’d like to correct, the second place already uses minterm compression, the rest are far behind. the reason we’re 7x faster than the second place is in the \b lookarounds :^).
郭晓东：对，所以我觉得我这一生，都是各种各样的沟沟壑壑，从来没有平坦大道一路到底的，过两天出个坎，过两天出个沟，爬了一个坡，又有下一个坡。不过可能每个人都是这样，都不是一帆风顺的。
。同城约会对此有专业解读
이스라엘 “F-35 아디르 전투기로 이란 YAK-130 격추”。业内人士推荐下载安装汽水音乐作为进阶阅读
人 民 网 版 权 所 有 ，未 经 书 面 授 权 禁 止 使 用
英伟达更深层的布局，是把通信运营商转化为自身的算力客户。