该剧是讲述在聚光灯背后操纵这个世界的真实政治玩家们的危险赌局，将描写指向权力顶点的超级辅佐官张泰俊的炙热的生存故事。 李政宰饰演张泰俊，他是4选议员的首席辅佐官，他以第一名成绩毕业于警队，曾活跃在搜查前线，但为了拥有更大的权力而进入国会，是一个把不可能变成可能的超级能力者。他有着出众的直觉和冷静的判断力，自在地游走在边界线上，以偏执的胜负欲把自己辅佐的议员推到党内代表的位置上。但他并不满足于现状，指向权力顶点的更大的执念隐藏在他柔和的笑容下。 申敏儿饰演女政治家姜善英，她当选了比例选区的议员，并成为所属党派的发言人。
80年代热播的民主德国电视剧，至今仍有许多当年的观众在网上寻找它的下载。
Continue to more, I heard that the difficulty of purgatory is finally going to be updated, so I just said two words.
Pattern correspondence:
在大洋深处的南礁，以大白鲨里诺（罗伯特德尼罗 Robert De Niro 饰）为首的鲨鱼黑帮横行霸道，不可一世，其他鱼类对他们又恨又怕，时刻希望有人（鱼？）出来主持公道，消灭这群恶棍。里诺虽然邪恶，不过却各外疼爱他的儿子弗兰奇（Michael Imperioli 配音）和兰尼（杰克布莱克 Jack Black 配音）。与凶暴的父亲和哥哥不同，兰尼心地善良，平易近鱼，甚至还是个素食主义者。吊儿郎当的清洗店小职员奥斯卡（威尔史密斯 Will Smith 饰）欠下老板钱财，债台高筑。被五花大绑的他遭到弗兰奇的追杀，而弗兰奇却被突然出现的铁锚砸死。喜好吹牛的奥斯卡因此宣称弗兰奇死于他之手，他还间接和兰尼成为朋友。然而，这却引起鲨鱼黑帮的愤怒……
赵王歇这会子脑海之中一片凌乱，好不容建立起来的对李左车的信任陡然被摧毁。
故事讲述一辆运镖车在押送途中，被一个身穿红棉袄，脚穿绣花鞋蒙面大盗劫走。好事的陆小凤和花满楼，助京中“第一捕快”调查此案。导演楚原将古龙武侠世界的复杂多变，处理得简明而吸引，绣花针、绣花鞋、红棉袄，映像诡异，本片集推理、武侠、香艳于一炉。“绣花大盗”的形象深入民心，间接影射了徐克拍“东方不败”时，用的红线、飞针武功。
老的当然更开心，张大栓和郑长河合计，要叫赵三也一块回去，那才热闹。
The core idea of this pattern is the so-called IIFE (Immediately Invoked Function Expression), which determines the required parameter categories according to the environment.
红椒、山芋、香荽、玉米……今天晚上怎么可以没有人叫她大姐姐？怎么可以。
以看风水为名倒卖房产的老玉米接到了一个棘手的案子，房主让他解救被“附体”的儿子，装神弄鬼的老玉米原来不过是叶公好龙，差点引火上身。在灵异爱好者唐小熙的指引下，老玉米偶遇自己多年不见的发小吴宝.
这是2004年《Long Way Round》和2007年《Long Way Down》的后续，这次麦克格雷格跟朋友Charley Boorman骑着哈雷·戴维森电动摩托，穿越中南美洲的13000英里，从美丽的乌斯怀亚启程，经过13个国家。
层层迷案最终揭露了一场掩盖18年的震撼真相……
In real life, China's income tax is divided into enterprise income tax, foreign-invested enterprises or foreign-invested enterprises income tax and personal income tax. For these three types of income tax, each is calculated in a different way. Personal income tax has a personal income tax calculation method, while enterprise income tax has its corresponding calculation method. If we do not adopt the policy mode to realize such a requirement, we will define an income tax class, which has an attribute to identify the type of income tax and a CalculateTax () method to calculate the tax. In this method, we need to judge the tax type and calculate the income tax for different tax types through if-else statements. Such an implementation can indeed solve this scenario, but such a design is not conducive to expansion. If the system needs to add an income tax in the later period, it has to go back and modify the CalculateTax method to add an additional judgment statement, which clearly violates the principle of "open-closed". At this time, we can consider using the strategic mode to solve this problem. Since the tax method is the changing part of this scenario, we can naturally think of abstracting the tax method at this time, which is also the essence of the implementation of the strategic mode.
此剧讲述一个社会底层生活的临时工都江秀，在面对因酗酒把家暴当成家常便饭的爸爸快就死亡时所作出之抉择的故事。
Strong light mode. The bottom of the positive film stack or the screen is mixed with the bottom color, depending on the top color. The effect is like applying a strong spotlight to the image. If the brightness of the upper color (light source) is higher than 50% gray, the image will be illuminated, and the mixing method is similar to Screen. On the other hand, if the brightness is lower than 50% gray, the image will darken, and the mixing method is similar to Multiply. This mode can add shadow to the image. If pure black or pure white is used for mixing, the result will also be pure black or pure white.
该剧改编自人气网漫，是以为了守护重要的人而揭露和特殊超能力者相关的阴谋和秘密的检察官，以及具备冷静的判断力的警察厅侧写师为中心的悬疑追踪奇幻剧。
The 0 event can be viewed as a delegate-type variable
Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.
