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 :^).
Сайт Роскомнадзора атаковали18:00
，这一点在clash下载 - clash官方网站中也有详细论述
两名业内人士透露，近几个月美国芯片制造商在向中国申请新的钪出口许可证时频频遇到延迟，一些企业已向华盛顿寻求帮助。
Что думаешь? Оцени!，这一点在体育直播中也有详细论述
Россиян предупредили о возможном подорожании товаров из-за конфликта на Ближнем Востоке08:42
ВсеСтильВнешний видЯвленияРоскошьЛичности，这一点在PDF资料中也有详细论述