「地面部隊及其他數名高級軍官（非最高層將領）被撤職，歷經數輪整頓後現役高層已所剩無幾，這顯示軍內持續進行整頓行動。 我們預計今年兩會將重點聚焦於發展先進作戰能力、提升戰備水準等長期目標。 」
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.
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