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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1993年,26岁的姚雄杰创立了深圳雄震投资公司(后改名盛屯集团),正式开启了自己的资本征途。五年后,雄震投资受让中国宝安集团持有的2400万股龙舟股份股权,成为第一大股东,并将其改名为雄震集团。