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 :^).
新车最终起售价则定在了 9.49 万元。
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Last weekend GM Matthew Wadsworth emerged first on tie-break ahead of IM Tobias Koelle (Germany) and GM Matthew Turner (Scotland) after the trio all scored 7/9. Wadsworth also won in 2025.
«Били в одно место». Российский газовоз уничтожен украинскими дронами в Средиземном море. Что известно об атаке и судьбе моряков14:20
В России впервые с 1986 года введут новый ГОСТ на белый хлеб02:05