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西南边陲，贩毒活动猖獗，毒枭阮霞、萧金、托姆等头目只手遮天，为了打通三棵树经昆明到香港的通道，并盗取生物学家陈百涛教授的最新技术资料，阮霞、萧金、托姆派遣李新潜回大陆，李新回境后，假意与陈教授之女陈思思发生关系，在潜入陈教授书房被发现后，再次安排同伙榴红以保姆身份进入陈教授家中。而李新在窃取资料后，意想不到招来除警方压力的黑帮连环追杀…… 以刑警队长高一朗为首，警员杨辉、傣族战士岩松、训犬主…邱志宏是广告策划奇才,却因性格的原因,在事业和经济上没有什么成绩,岳林的母亲,是一个一心要把女儿嫁入豪门的现实女人,所以对他们的婚姻进行百般阻挠,面临七年之养之际,邱志宏面临着事业、生活和结婚的多重压力……The next four patterns, including this pattern, are all the relationships between classes and do not involve inheritance. When learning, you should remember induction and the diagram at the beginning of this article. The observer mode is well understood, similar to email subscription and RSS subscription. When we browse some blogs or wikis, we often see RSS icons. This means that when you subscribe to the article, you will be notified in time if there are subsequent updates. In fact, in a nutshell, when an object changes, other objects that depend on the object will be notified and will change with it! Objects are a one-to-many relationship. Let's look at the diagram first:电影《故事贩卖机》由四个独立的城市怪谈故事单元组成，其中《鬼打墙》恐怖惊悚，引人尖叫的同时吸引力十足;《官能许愿》则讲述了以失去器官为代价获得超能力的城市穿越爱情故事;《鸡汤泡面》则赋予了普通泡面迷幻剂一般的神奇力量，荒诞的同时又笑料百出;此外，中国著名童话“皮皮鲁与鲁西西”系列也将选择代表故事在电影中重磅呈现。沃特.密提（本·斯蒂勒 Ben Stiller 饰）是一名在《生活》杂志工作了16年的胶片洗印经理，他性格内向，甚至无法跟心仪的同事谢莉尔（克里斯汀·韦格 Kristen Wiig 饰）开口搭讪，面对生活他像个旁观者，时常“放空”做白日英雄梦。直到有一天公司被并购，杂志需要做最后一期的封面，而封面成功与否的关键是找到狂野摄影师尚恩（西恩·潘 Sean Penn）的一卷胶片，沃特终于开口搭讪谢莉尔，并在她和母亲（雪莉·麦克雷恩 Shirley MacLaine 饰）的鼓励下踏上真正的冒险之旅，冰原、大海、喜马拉雅山……沃特的白日梦远不及现实壮丽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.