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?
Обвинения США против Ирана описали фразой «строят самолет в процессе полета»08:51
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最终，我们只能去此前常去的宠物店试试运气。那家店更像是一个小综合体，一层有供狗玩耍的露天场地，以及能让宠物主歇脚的小餐厅，餐厅既卖狗食，也卖些人吃的饮品简餐；二层，则是狗的美容间与寄养的房间。好在这家店还有空位，房间里有24小时监控，店铺有两道大门，店门正对着的是一条小路，哪怕狗贪玩走失，也不至于立时在大马路上被车撞到。最重要的是，此前狗不时会在这里洗澡，对这个环境相对熟悉，不会害怕得过了头。