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Because of this, a type table isn’t that useful for an editor. You want the editor to know if this particular piece of text is a declaration or not, without knowing what its type is, because the name is more important than the type. More generally, what you truly want is a name table—a hash table of identifiers the editor can use to color, navigate, and link code. A full, spec-compliant language parser is way overkill, and guarantees a lot of wasted/inefficient work for a slower and worse result. This is also why having a separate preprocessor layered on top of the base language, like C does, is a bad decision. It splits the grammar, breaks the context-free assumptions, and makes it even harder for the editor to extract the names it needs.
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上海购物中心协会秘书长杜斌告诉《窄播》,如果单论一家店的租金,B1因面积小,看似低一些。但如果论及每平方米的租金单价,一些商场的B1租金甚至高于最贵的一楼。。电影对此有专业解读
Lazy DFAs (2010) are a clever optimization to mitigate the O(2^m) blowup of DFA construction, by only constructing the states that you actually visit. lazy DFAs reduce the theoretical automata construction time to either O(2^m) or O(n), whichever is lower. you could argue that it’s theoretically no longer linear time, since you could have a regex that creates a new state for every character in the input, but in practice you will keep revisiting the same states. for all intents and purposes it behaves more like O(n) with some initial wind-up time. the main downside of lazy DFAs is that they are more complex to implement, and you have to ship a compiler as part of your regex algorithm. i want to highlight Rust regex and RE2 as excellent implementations of this approach, which you can also see in the benchmarks.,详情可参考PDF资料
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