A) Studying the [design pattern] of GoF carefully and learning its intention and structure one by one is a way to learn English with a dictionary. Seeing mountains is mountains and seeing water is water, which may lead you to apply mechanically and imitate others in actual work.
刘氏听了十分满意，弟媳妇把这个闺女教的不错，也不枉她顶着婆婆异样的眼光，硬着头皮为她求来这个机会。
她转向板栗道：打仗的事娘不懂。
When you need to add a new state to the light object, you only need to add a new state class and slightly change some existing code. Assuming that the light object now has an extra state of super light, add the SuperStrongLightState class first:
本剧主要以杨玉环为主人公，紧紧围绕杨玉环的情感起伏、命运转折而展开。故事一开始就要让杨玉环与彭勃产生浪漫的恋情。谢阿蛮作为杨玉环以舞为乐的玩伴，从中穿针引线，力促二人。当得知被选为寿王妃后，杨玉环激烈抗婚，谢阿蛮为二人打抱不平，甘当信使。杨玉环冲动地要以身相许，彭勃理智地退缩了，他不是因为惧怕皇权，而是为了保护自己的爱人，为了爱情永驻。杨玉环无奈与寿王成婚。婚后初期，杨玉环过着与寿王同床异梦的生活，并时常通过谢阿蛮向彭勃倾诉离别之情。寿王的敦厚和百般呵护，久而久之打动了杨玉环，使她有了一种归宿感，并把自己的情感转移、寄托在寿王身上。这段爱情同样生生死死，真挚热烈……
There are eleven behavioral patterns (13-23): policy pattern, template method pattern, observer pattern, iterative sub-pattern, responsibility chain pattern, command pattern, memo pattern, state pattern, visitor pattern, intermediary pattern and interpreter pattern.
Protocol-based
1963年的星洲，元门武馆馆主元振飞的妻子唐秋笛、在携同儿子元晨曦到东京参加国际武术赛的过程中，不幸遇到严重车祸，酿成儿子惨死，母亲成为植物人的惨祸。元振飞遭到如此重大打击，痛不欲生，而在元门武馆内部，又是暗流汹涌，在他之下的段天河为人阴险，包藏祸心，一直觊觎于元家的传家之宝，翡翠龙，段天河的真实身份，竟然是一名杀人不眨眼的悍匪，为了逃避外地警方的追捕，改名换姓躲在元门武馆。另一弟子欧剑锋，为人自卑且自大，与同门不合，经常惹是生非，打伤自家师兄弟，结果被元振飞一怒之下，逐出师门，发誓永不录用。欧剑锋离开元门武馆之后，想派遣自己妹妹欧可璐以学员的身份，混入武馆，探听武馆的内部情况，欧可璐是名好玩的少女，少不更事，但是，聪明的她，很快就看出哥哥居心不良，不想帮着他作恶，反而慢慢的同情起元门武馆……
尹旭很以为然：这个是肯定了，寡人想用不了多久，范依兰会向寡人说明的。
16.6 Chronic progressive diseases of nasal and paranasal sinuses that affect function are unqualified.
在这个不诚实的世界里，我想带你一起追寻真相
……ps：炎炎夏日，大暑之后的第二天，月下回来了。
Gloves must be worn when contacting printed boards.
Shenhu Bay
三人行。
光怪陆离的泰国，接连发生多起奇异的案件，“唐人街第一神探”唐仁的徒弟林默（邱泽 饰）,野田昊的弟弟野田昊二（陈哲远 饰），纷纷陷入探案的谜团之中……死者妻子IVY（张钧甯 饰）、酒吧歌手阿温（王真儿 饰）、五大灵童战队成员陆菁菁（程潇 饰）、初出茅庐的女警萨莎（张艺上 饰）也悉数登场，错综复杂的线索背后，藏于黑暗的真相正慢慢浮出水面……
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-)
科研小组的学生王睿在一次试验中穿越到2050年见到未来的自己，未来世界因生物机器人异变而面临巨大的危机，为了解决这一问题，王睿回到2015潜心研究，然而研究成果却被同伴盗用。为了解决同伴与自己的心结，王睿再次穿越回2005年，欲从源头挽回一切。待一切轨迹被改写，生物机器人危机却依旧未解决。这时王睿才从蛛丝马迹中发现，未来的自己是否并非真实的自己。挚爱之人只是牵线木偶，光明的未来化为泡影，王睿究竟该如何挽回自己的人生？又该如何解决人类的危机？
