上片从“去年元夜时”说起，“花市”既指卖花赏花的集市，也指元宵佳节处处花团锦簇，入夜大街小巷“竞陈灯烛，光彩争华，直至达旦”。词人并不是要写元宵的盛况，而是要烘托情侣约会的氛围，以引出即将出场的主角：“月上柳梢头，人约黄昏后。”“花市灯如昼”不过是点缀背景，“黄昏后”的朦胧之时，“柳梢头”的幽静之地，才是约会的好去处，因而光线由明而暗，环境由喧而幽。“人约黄昏后”点到为止，留给我们无穷的遐想：他们一见面是深情相拥，还是倾诉衷肠？是两人独处，还是随人观灯？花市、彩灯、明月、柳梢，热闹而又幽静，喜气而又温馨，爱情甜蜜得令人心醉。
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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