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　　法迪知道科学家的诡计，欲充当调停者，可是机器人挑起暴动，工人捣毁机器，导致洪水泛滥。洪水把地下城淹浸机器失灵，于是法迪与玛利亚千辛万苦把地下城的小孩救出来。与此同时工人以为他们的孩子困在地下城被淹，愤怒的工人把机器人捉往当作女巫烧死。这时科学家洛宏发了疯，追着真正的玛利亚，洛宏与法迪打起上来，洛宏从屋顶上跌毙了。最后，管工带领工人到教堂，玛利亚促调停者法迪带着管工与城主菲达逊一起握手和解，代表智慧与劳动要用心结合起来。刘佳音因与富豪男友分手而破产 ,为了还债,变卖了自己所有的奢侈品,王继伟天生爱省，为了省钱无所不用其极。两人因为一场剧场意外相遇，在一系列机缘巧合合租一个屋檐之下，过起了荒诞爆笑的流浪生活，“王抠抠”和“刘买买”究竟如何在两种价值观之间化解金钱与爱情的终极问题呢？长相帅气的Jeff（乔尔•麦克哈尔 Joel McHale 饰）因伪造大学文凭被吊销了律师执照。为了能弄到文凭，选择加入Greendale社区大学。为接近西班牙语课上的冰山美人Britta（吉莉安•雅各布斯 Gillian Jacobs 饰），Jeff伪造了一个西班牙语学习小组，却意外的招来了一帮性格各异的组员。 热爱拍摄电影的阿拉伯人Abed（丹尼•朴迪 Danny Pudi 饰），曾是橄榄球健儿的Troy（唐纳德•格洛弗 Donald Glover 饰），没有安全感的犹太美女Annie（爱丽森•布里 Alison Brie 饰），离异黑人中年妇女Shirley（伊薇特•尼科尔•布朗 Yvette Nicole Brown 饰），离婚7次并心仪Shirley的Pierce（切维•切斯 Chevy Chase 饰）。 这个充满“奇人异士”的学习小组到底会带来怎么笑料百出的故事呢？4. It is difficult to duplicate outstanding store management talents.赵本山主演的贺岁喜剧电影，汇聚了闫妮、热依扎、炎亚纶、潘斌龙、大鹏、张译、梁静、周冬雨、于和伟、连奕名等众多明星。2016年大年初一，百星报喜，爆笑过年！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.