Can you reverse engineer our neural network?

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around a year ago, we built a regex engine in F# that not only outperformed the ones in dotnet, but went above and beyond competing with every other industrial regex engine on a large set of industry-standard benchmarks. additionally, it supports the full set of boolean operators (union, intersection, complement) and even a form of context-aware lookarounds, which no other engine has while preserving O(n) search-time complexity. the paper was published at POPL 2025, and i figured it’s time to open source the engine and share the story behind it. consider it a much more casual and chatty version of the paper, with more focus on engineering aspects that went into it.,这一点在同城约会中也有详细论述

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他透過窗戶觀看,發現屋外出現眾多執法人員,「我就知道他們是衝著我們這個房子來的。」

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