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1995.07-侧耳倾听BBC One已经预订了一部三集的新剧《火药》（Gunpowder），灵感来源于Kit Harington去年10月看中的关于Guy Fawkes的惊悚故事，对，就是电影《V字仇杀队》中V效仿的原型。1605年，Guy Fawkes和一群天主教徒在英国国会大厦埋下36桶炸药，企图刺杀詹姆士一世，从而使天主教重掌政权。但就在刺杀前晚，计划败露，Guy Fawkes被捕，最终被处死。英国人民至今还在原定阴谋实施那天即11月5日举行Guy Fawkes Night（篝火之夜）来庆祝。囧诺Kit Harington将监制该剧，并饰演策划这起刺杀的Robert Catesby。Mark Gatiss饰演詹姆士国王的国务卿兼间谍首脑Robert Cecil。Peter Mullan饰演Garnet神父。Liv Tyler饰演Catesby的表妹Anne Vaux。风亦飞出生于村内一猎户家庭，十年前父亲上山捕豹失踪，兄风亦乐因目睹惨变而刺激至双目失明。从此飞与母、兄、姊风玉莲相依为命，采药为生。飞在村中更结识了一班退隐高人，学得一身武艺。一次，飞代母出城交药，遇上财主之女唐剑儿，二人由误会斗气而变成情侣。此外，乐亦一直暗恋邻家少女慕青思，但好事多磨，思的美貌又惹来小王子朱君宇的追求。宇与父朱胜北野心密谋作反，贩运私盐，及后得悉村中藏有乌金，乃千方百计赶走村民。此时朝廷亦在意北之举动，派密探田仲谋微服出查，田在飞相助之下，终获北造反之书函；北为夺回，竟派情妇祝梦假意亲近飞，到底飞能否揭破北之阴谋，乌金最后又鹿死谁手……　　她的情深，他总是错过；他一点不担心奶奶和赵三奶奶会吃亏——她们吵架骂人的本事他是知道的。For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.