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Марина Совина (ночной редактор)
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NFAs are cheaper to construct, but have a O(n*m) matching time, where n is the size of the input and m is the size of the state graph. NFAs are often seen as the reasonable middle ground, but i disagree and will argue that NFAs are worse than the other two. they are theoretically “linear”, but in practice they do not perform as well as DFAs (in the average case they are also much slower than backtracking). they spend the complexity in the wrong place - why would i want matching to be slow?! that’s where most of the time is spent. the problem is that m can be arbitrarily large, and putting a large constant of let’s say 1000 on top of n will make matching 1000x slower. just not acceptable for real workloads, the benchmarks speak for themselves here.
3 → 4: Describe, don't plan
2026财年第二季度，微软智能云业务实现营收329亿美元，同比增长29%，略高于分析师预期的323.9亿美元。其中，Azure及其他云服务实现销售收入256亿美元，同比增长39%，增速较上季度放缓1个百分点，这也是近一年来Azure云计算增速首次下滑。