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?
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Великобритания собралась защитить свою военную базу от Ирана14:46。关于这个话题，搜狗输入法2026提供了深入分析
什么样的品牌能持续增长？如今，优质购物中心的特色稀缺品牌仍在保持增长，核心就是“少即是多”——这类品牌多为类直营、多品牌连锁或超级加盟商运营，不盲目追求规模，自然能保持稳定增长。
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