III. Network
她们总算相信大苞谷是真的从那条河逃生了。
于是这件事就默默拖了下来，浙官浙将会偶尔收到家属平安的消息，却只敢独自消化。
咱们这出身专业的老丈人很“偶然”地发现Focker先生包中的小药盒后，自然展开了丰富到极致的想象，正当Focker先生忙于应付之际，Focker太太英俊风趣的前男友又出现搅乱，本来平静的生活立马开锅......
韩信记得以前的淮阴县令是秦国从关中派来的，关中……韩信蓦地想起了写什么，震惊不已，莫非是他们……难怪他们能放心地让我南归，好啊。
4. Builder Model
In this way, the implementation class of the Targetable interface has the function of the Source class.
2018年秋天，在梦想成为王者的18岁主人公面前，时光机突然出现。从时光机中现身的神秘少女告诉他：“我是从2068年过来的。魔王降临未来世界，他让人们饱受折磨，让世界陷入绝望之中”。为了改变未来绝望的世界而来到2018年的少女还对他说：“未来的你，成为了毁灭世界的魔王，时间的王者——时王”。命中注定会变身成为假面骑士时王的主人公，他不是英雄而是未来的魔王吗……他未来的命运究竟如何？这是一个主人公跨越时空，与历代平成假面骑士相遇，为了挽救过去、现在、未来而最终成为新时代王者的故事。
永平帝却大叫一声，跑向小葱，哆嗦道：将军救朕。
只要没打架，就不算闹事。
堂上堂下一干人再次惊得合不拢嘴——抢着坐牢，这可真是新鲜。
一名男子在车祸后在医院醒来。 他不记得他的名字，但很快被发现他是一位着名的律师。 更糟糕的是，警方开始怀疑他谋杀了他失踪的侄女。
If a fire control technical service institution loses its qualification certificate, it shall apply to the fire control institution of the original permitted public security organ for a replacement.
In the interview program "Transparent Man", Jiang Sida interviewed a well-known divorce lawyer. She has handled at least 400 divorce cases and witnessed the marriage change from a 7-year itch to a 3-year itch.
JTBC的治愈音乐节目第三季将于7月首播。如果说之前一季是顶级音乐人通过海外路演寻找“初心"的过程，那么新一季则是音乐人在陌生的地方"一起"制作音乐。朴正炫 -李秀贤 -Henry刘宪华 -河琳 将在节目中再次聚首.林宪日-金必将加入本季。 JTBC公布李笛、泰妍、Paul Kim、Jukjae（郑在元）、DICKPUNKS金贤宇将作为后发队伍出击，展现与Family Band不同音色魅力。
也许有一天，他还会成为天下的主宰……台阶下的越国文臣武将随即拜倒，第一次正式地觑见他们的国王。
一只井底的青蛙威尔，来到人类的世界，冒充一名被施咒的王子，帮助城堡中的小公主苏菲亚粉碎皇叔班特的阴谋，成功继承皇位，成为女王。而自己也带着爱人萝拉回归井下，告诉同伴井外的世界很大很大。
板栗恍然大悟道：怪道这么鲜哩。
This.source = new Source ();
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.
