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《傲慢与偏见》是简·奥斯汀的代表作。这部作品曾多次被改编的电影，本片为英国BBC公司1995年出品。18世纪英国乡间班纳特家有五个女儿，班纳特太太整天焦躁不已，最大的心愿就是将女儿们一个个嫁出去。一日年青富家子宾利先生搬进城内的消息传来，令班纳特太太兴奋不已，希望大女儿简能获取宾利先生青睐。舞会上宾利果然看上了最漂亮的大小姐。而宾利的老友达西（柯林·菲尔斯 Colin Firth 饰）却天性傲慢，直言难与平民交往，更不屑与老二伊丽莎白跳舞（詹妮弗·艾莉 Jennifer Ehle 饰）。可不久达西对她活泼可爱的举止产生了好感。达西虽然欣赏伊丽莎白，却无法忍受她母亲及妹妹们粗俗无礼的举止，劝说宾利放弃娶简。宾格来和简因为误会，关系危在旦夕，伊丽莎白也因为这件事迁怒于达西。最终班纳特能否顺利嫁出五个女儿，宾格来与简、达西与伊丽莎白会不会从迷失中走来，缔结幸福良缘？AI is in the current air outlet, so many people want to fish in troubled waters and get a piece of the action. However, many people may not even know what AI is. The connection and difference between AI, in-depth learning, machine learning, data mining and data analysis are also unclear. As a result, many training courses have sprung up, which cost a lot of money to teach demo and adjust the participants. They have taught you to study engineers quickly and deeply in one month, making a lot of money. We should abandon this kind of industry atmosphere! In my opinion, any AI training currently on the market is not worth attending! Don't give money to others, won't it hurt? -However, when everyone taught themselves, they did not know where to start. I got a lot of data, ran a lot of demo, reported a lot of cousera, adjusted the parameters, and looked at the good results of the model. I thought I had entered the door. Sorry, sorry, I spoke directly. Maybe you even sank the door. In my opinion, there are several levels of in-depth study of this area: (ignore the name you have chosen at random-)这打着打着，张家就封王了。Responsibility chain mode-A request needs multiple objects to process, thus avoiding the coupling relationship between the sender and receiver of the request. Connect these objects into a chain and pass the request along this chain until an object processes it. The specific structure diagram is as follows:把鸡也全杀了，全冻起来带走，一块鱼鳞、一根鸡毛也不留给他。相信法律与正义，新人律师新田正义（北山宏光 饰）满腔热血，发誓要用自己的法律学识帮助受冤枉的人洗脱罪名。不过显然他的经验还不够足，以至于庭辩期间经常离题万里。比如和冷静沉着的检察官（户次重幸 饰）争论高达的角色好坏、证人的胸围，讨论热播剧集《海女》、高唱热门组合出道曲等等。由于新田时常跳线或者乱入，导致性格老成的审判长（佐藤二朗 饰）都无法继续保持淡定。原本严肃的法庭，正因为有了这几位活宝，经常变得乱作一锅粥。The above is just a synchronous chain of responsibilities, We let each node function return a specific value "nextSuccessor" synchronously, To indicate whether to pass the request to the next node, we will often encounter AJAX asynchronous requests in our development. After the request is successful, we need to do something so-and-so. At this time, if we apply the above synchronous request again, it will not take effect. Let's understand and use asynchronous responsibility chain to solve this problem. We add another prototype method Chain.prototype.next to the Chain class to manually pass the request to the next node in the responsibility chain.