both of these approaches use NFAs under the hood, which means O(m * n) matching. our approach is fundamentally different: we encode lookaround information directly in the automaton via derivatives, which gives us O(n) matching with a small constant. the trade-off is that we restrict lookarounds to a normalized form (?<=R1)R2(?=R3) where R1/R2/R3 themselves don’t contain lookarounds. the oracle-based approaches support more general nesting, but pay for it in the matching loop. one open question i have is how they handle memory for the oracle table - if you read a gigabyte of text, do you keep a gigabyte-sized table in memory for each lookaround in the pattern?
Украинцам запретили выступать на Паралимпиаде в форме с картой Украины22:58
，这一点在体育直播中也有详细论述
Американские сенаторы захотели принудить Трампа прекратить удары по Ирану14:51。关于这个话题，雷速体育提供了深入分析
Что думаешь? Оцени!，这一点在heLLoword翻译官方下载中也有详细论述