Подростки распылили перцовый баллончик на пассажиров электрички под Петербургом20:54
1984年5月,李锡铭同志任北京市委书记兼北京卫戍区党委第一书记、第一政委。他始终站在全局的高度,科学理清北京的发展思路,强调要以改革总揽全局,充实和完善改革措施;着力推进国有企业改革,狠抓农业和农村工作;提出机构改革的出发点和落脚点必须是搞活基层、搞好企业;注重做好干部思想工作,推动全市新老干部合作与交替格局开始形成;广泛深入开展形势教育,宣传改革取得的巨大成绩。这保证了中央关于首都建设各项指示的落实,推动了全市各项事业在改革中不断前进。他坚持把党的思想理论建设、组织建设和作风建设放在突出位置,亲自组织并坚持法纪联席会制度,督促检查反腐倡廉工作的落实,为北京的党风廉政建设倾注了大量心血。1990年,他带领北京市委、市政府“一班人”,坚决贯彻中央指示,按照“团结、友谊、进步”的宗旨,组织筹备亚运会工作,动员全市各方面力量,保证了亚运会的顺利举行和安全、圆满、成功,有力提升了中国的国际影响力。
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“你必须感到焦虑,你必须不断地审视自己”
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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.