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Third, the application value of BIM technology in designContext.method ();这部剧讲述了李氏王朝宦官金处善的一生及发生在那个时代的宫廷故事。玩权术果然比做买卖进银子要快很多，但跟何永强热衷的走私相比，还差得太远。菊花几乎从两三岁就开始教他，却连童生试的第一关也没过，难道真的比不过他小叔？若是这样，怎么连周矮子的孙子都过了哩？正愣神间，郑氏和小葱从外边走进来。C4剧情片，共四集。 Glyngolau是威尔士的一个小城镇，镇里的一个大型建筑项目将为小镇带来巨大利益。突然有一天，工地发生爆炸，事故造成多人伤亡。而就在爆炸当天，几个孩子不知何故闯入现场，没人知道他们与爆炸是否有关联，家长们不愿相信他们的孩子是爆炸的罪魁祸首，他们渴望事实真相，试图寻求真正的正义。可他们能找到真正该为这场悲剧负责的人吗？ 本剧为第四频道广受欢迎的丑闻三部曲中的最后一部，前两部分别为《#国家淫才# #National Treasure#》（2016）和《#姬芮# #Kiri#》(2018)。如果说《国家淫才》的主题是耻辱，《姬芮》的主题是责备，那《意外》就是在讲述一座城镇在事故灾难后寻求的正义。 本剧的编剧是杰克·索恩 Jack Thorne（《#黑暗物质三部曲# #His Dark Materials#》）。早在剧本动笔前，故事就已经确定要围绕“阶级”与“正义”展开。但多次创作均不合心意，直到6·14伦敦公寓楼火灾事故发生，这场悲剧成为了Thorne的直接灵感来源。 随着对事件调查的深入，Thorne发现，类似的重大灾难事故有很多，但是相关的法律制度却少之又少，很少有人会因此付出代价去坐牢，甚至很多地方连善后都做不好。他在接受采访时指出英国在拆除易燃居民楼外墙材料的工作进展甚微，按目前的速度，要到2030年这种材料才能全部从英国拆除。而现在还有14个家庭没有找到住房，很多人依旧住在那座大厦，他们无处可去，又卖不掉这些公寓。他们东奔西走为自己呐喊，虽然激起了一些水花，但没过多久又会被人遗忘。Thorne补充说，这些灾难事故其实很难找出具体某个人的过错，但可以确认的是这是司法系统的失败。拿外墙材料拆除工作来说，很明显司法系统没有对拆除公司造成足够的震慑。我们需要警察的唯一理由就是预防犯罪的发生，可如今这些潜在的、可以预防的犯罪依然发生，发生之后又无法妥善解决，这就意味着司法系统的失败。 Thorne认为只要正确看待并讲述这次事故，就一定会伤害到事故相关者，这样一部电视剧即便成功也是建立在悲剧与生命之上的成功。于是Thorne决定不直接将这次火灾事故搬上电视荧屏，而是虚构了一个新故事。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.