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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，这一点在体育直播中也有详细论述
«[КСИР] нанес удар по авиабазе американских террористов Аль-Дафра. (...) Следует отметить, что преступное нападение на школу Шаджарат Тайба, жертвами которого стали 165 учениц, было совершено с этой базы», — говорится в публикации.
“李在明政府正积极采取行动重建朝韩互信，包括间接或直接地推动美朝对话，协同中国方面营造缓和氛围。”金希教指出，韩国可考虑提出无条件对话倡议，而不是将朝鲜无核化设定为先决条件。