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 :^).
«Это правда, но это не было зафиксировано». США согласились с требованием России, которое отрицали много лет. Что о нем известно?10 декабря 2025
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结合各家大厂指引，海豚君预计四大核心云厂商（谷歌、Meta、微软和亚马逊）的合计资本开支在 2026 年有望达到 6600 亿美元，同比增速达到 60% 以上，为 AI 芯片市场在 2026 年的增长提供了保障。，更多细节参见下载安装汽水音乐
Reporting by Chance Townsend, Caitlin Welsh, Sam Haysom, Amanda Yeo, Shannon Connellan, Cecily Mauran, Mike Pearl, and Adam Rosenberg contributed to this article.