战争之下，繁华落尽。帮派大佬逃亡香港，交际花不知所踪，日本妹夫死在上海，电影皇后被丈夫抛弃，处男遇上妓女，姨太太杀死二哥。战争惨烈，战争终于结束。他轻易选择沉默，因为伤口无法弥合。罗曼蒂克消亡史。被浪费的时光。
两日之内连升两级，入军才两月就升为营指挥使。
若是作假只为了攀附王府、求富贵还好说，若是作假有阴谋，那可就要小心了。
The code writer and the code reviewer sit together, and the code writer explains the code and related logic he is responsible for in turn according to UC, from the Web layer-> DAO layer;
谁都羡慕的生活，富裕的恋人。没有什么不满。
范文轲思索着慢慢回答。
黄豆哑然。
Press the G key to deploy the landing gear.
农民生儿传香火，赚了女娃还赔金，夫妻冤家，爱！
When making exposure compensation, if the photo is too dark, the exposure value should be increased. Every 1.0 increase in the exposure value is equivalent to doubling the amount of light ingested. If the photo is too bright, the exposure value should be reduced. Every 1.0 decrease in the exposure value is equivalent to doubling the amount of light ingested.
玩具设计师苗和陈误撞强盗抢劫银行，苗因而得知自己有特异功能，能够进入别人的梦中，陈却因此成为痴呆。苗进入陈的梦中，发现至陈重伤的是警官周润发。最终，苗依靠特异功能杀了周，为陈报了仇。
申道终于明白日本将在2年内毁灭，于是走上了和妖兽战斗的悲惨道路……
在英华中学对阵劲敌雅林中学的棒球赛上，英华队士气低迷，节节败退。就在球员们灰心丧气之时，倔强的高一新生班小松冲上球场，奋力为英华拿下宝贵的一分。虽然刚刚燃起的希望很快就被雅林队的邬童粉碎，但这却激起了班小松“重振英华”的决心。输掉比赛的英华队面临着解散的危险，此时邬童突然转学到了英华。为了拯救英华队，也为了彼此所共有的棒球梦想，班小松主动伸出友谊之手，不仅与曾经的对手邬童化敌为友，还带领一度远离棒球的同班同学尹柯重新找回了斗志与信念，整个棒球队结为牢不可破的同盟。与此同时，班小松更用乐观顽强的精神感染了自暴自弃的废柴教练陶西和不近人情的女魔头主任安谧，整个班级的精神风貌也焕然一新，宛若涅槃重生。当英华队再次登上全国大赛舞台之时，在闪闪发光的奖杯的映照下，这群意气风发的棒球小将们用汗水和热血，共同书写了他们最辉煌的少年时代。
Part of the reason why we are unhappy is that we are not sincere enough. It is not easy to dare to love and hate. It takes courage to embrace you across the crowd and to tear your face regardless.
MDT Member Personal Development and Training
该剧以大学生谢永强与农村青年王小蒙爱情生活为主线。
老汉马丙坤与老伴儿林芝花相依为命，生活在黑龙江塔河林场。当马丙坤被查出已经到了癌症晚期时，他决定把老伴儿托付给自己五个子女中的一个照顾终老。老汉想趁着春节好好和孩子们商量，可是到了大年夜，孩子们出于各种理由一个都没有回来，看着清冷安静的院子，倍感时日不多的马丙坤老汉决定和老伴一起亲自前往孩子们家中……
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.
