Spectre of military upheaval will hang over annual meetings where Beijing’s five-year plan will be launched
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 :^).
。关于这个话题，爱思助手下载最新版本提供了深入分析
Турция сообщила о перехвате баллистического снаряда из Ирана14:52
Opens in a new window
Кубок Испании|1/2 финала