You finally find that what makes people miserable and desperate is not the divorce itself, but the ugliest side of the person you once loved most at the moment of divorce.
苏雨晴起初最讨厌的人是李浅然，因为李浅然的邋遢
本季围绕几位非凡女性展开，每一位都被激情、复仇和痴迷所驱使着。故事最终走向一个混乱、微妙，又灿烂辉煌的大结局。
故事讲述了孤儿院长大的宋十一、韩紫瞳、蒋易之间的生死恋情。在爱情与现实的挣扎中，他们不轻意的伤害着彼此，爱情到底可否能继续？而在互相残杀中，谁又会笑到最后呢？蒋易的爸爸蒋平和韩紫瞳的爸爸韩青是同学，他们都深深地爱着一个叫美丽的女孩，可美丽的内心只有韩青。韩青看到蒋平痛不欲生，便主动退出。这使美丽大受打击，她做出了一个近乎荒唐的决定，嫁给一个陌生的男人——米蓝。事隔多年后，蒋平已娶妻生子。一次偶然的机遇中，他得知美丽的婚姻并不幸福，蒋平按捺不住心中的澎湃，再一次向美丽表示了爱意。可这时美丽心中还是挂念着韩青，无法接受他。在一次冲突之中，美丽为了保护韩青，蒋平为了保护美丽，他们两人双双死去。从那一刻起，蒋易就决定要赢过韩紫瞳。这是多年来蒋易处处和和韩紫瞳竞争的根本原因，也是后来三人感情产生激烈矛盾的根基。蒋易一直在寻找报复韩紫瞳的机会，当得知韩紫瞳爱上宋十一时，他决定横刀夺爱，并利用宋十一报复韩紫瞳。但无法逃避的是，蒋易从利用宋十一变成了爱上宋十一，他甚至不惜伤害为他付出很多的女友余斤斤，可
皇上英明。
Analysis: Wolf Hunters, as speed arms, rely more on attacks. However, its short life is its fatal place, so everyone often takes precedence over raising life. In fact, there is no right or wrong. I have used two numbers, one attack king made it very high and the other life king made it very high, but the result was that the attack was very high and the life king was very high. The reason was that the attack king was very high because there was no support from life and it was easy to destroy. Therefore, it is a wise choice for this arms to upgrade in a balanced way and for wolf hunters to attack kings. But, the king of a wolf hunter is extremely difficult to get, which is why more and more people give up this arm and cannot afford to play!
总而言之这些都不重要，重要的是平武武功高超，要向尹旭动手。
男主角的名字Suriyan是印度太阳神，女主名字Thantawan是泰文向日葵。
该季于2017年10月12日在美国CW电视网首播。
White version
科林·沃尔科特在他的生日聚会上去世后，他的妻子苔丝和女儿凯特发现他有一个长期的情妇玛丽莲，还与她生了一个女儿凯瑟。一怒之下苔丝扔掉了丈夫科林的东西，而凯特也因男友马库斯发短信给另一个女孩而大发雷霆。当两个同父异母的姐妹相遇时，她们为该把父亲的骨灰撒在哪而发生争执，导致警方介入，同时他们也得知父亲可能和另一个女人有染。
一句话介绍：一只清心寡欲的男神学霸，如何与逗比女主天雷勾地火一发不可收拾，过上了甜蜜又荡漾的生活。
工作，爱情，朋友，为什么又要选择又要放弃？一同在KOGAS工作的社内情侣金雪和正宇，随着雪的发小太焕的入职，刺激的办公室恋情就此展开。
于邪魔外道而言，他们是令人欲除之而后快的眼中钉肉中刺
到了现在，姒摇还是没有去正视失败的原因。
总之，陈启的这部小说，给他一种很奇怪的感觉。
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.
