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 :^).
Вероятность краха исламского режима в Иране оценилиВостоковед Бочаров: Крах режима в Иране возможен в долгосрочной перспективе
。下载安装汽水音乐对此有专业解读
△观众体验Ray-Ban Meta Display的手势交互功能 《智能涌现》拍摄
Американец ушел из дома после разрыва с девушкой и был обнаружен спасателями в промышленном карьере. Об этом сообщает US Magazine.
另据了解，莱芒生物已布局体内CAR-T管线。2025年，受多起跨国药企并购案影响，体内CAR-T成为国内CGT领域备受关注的细分方向之一。