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《天真派：武林外传》以2006年电视剧《武林外传》为蓝本创作　　Sam（贾德·帕达里克 Jared Padalecki 饰）杀死Lilth后竟然把堕落天使Lucifer（马克·佩雷格里诺 Mark Pellegrino 饰）带来人间。Lucifer让圣天使Castiel（米沙·克林斯 Misha Collins 饰）复活了，并且告诉Sam他是自己的肉身。Sam为了执行“向撒旦献身计划”，决定用肉身吸引Lucifer，然后跳入地狱的牢笼。可Lucifer占有了他的身体以及意志，让他的计划无法实施。关键时候，Sam灵魂觉醒，和Dean（简森·阿克斯 Jensen Ackles 饰）一切把Lucifer打回地狱，但他也一同消失。Castiel得到提升成为天使首领。Dean回归普通人的生活。突然有一天，Sam出现在家门口......上世纪八十年代，陆秉峥与陈有德带领的考古队在前往昆仑山考察中途遭遇沙尘暴，意外掉进尼雅女王的地陵，却发现位于地下的一个巨大磁场迷宫。在遭遇了巨型蜘蛛与毒蝎群等袭击之后，全体队员阵亡，只有陈有德逃了回来，而陈有德却不知所踪。七年之后，陆秉峥之子陆九逸带领众人踏入茫茫沙漠，寻找尼雅古国，试图找回父亲的踪迹，可等待他们的却是各种诡异的未解之谜……毕竟他还指望着这些习惯，去降服眼前这只无情的动物。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.Learning design patterns does have several realms: