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Only when it needs to be consistent with the rhythm and rhythm patterns of poetry will it try its best to search for them. Therefore, he found some articles in the Observer and rewritten them into poems.　　Puen常和自己的妹妹吵架。她的朋友蓝菲是泰国一个明星Warat（Bomb Tanin饰演）的粉丝，因为Warat和Pang合作电视剧，蓝菲偶然在电视上看到了Pang，并惊讶于Pang和Puen的长相十分相似。蓝菲将她的发现告诉了Puen，Puen当时正和家人吵架，也对她和Pang长相相似这件事产生疑问，Puen和蓝菲决定一起去泰国探寻真相。剧中pat 一人分饰两角。饰演性格完全不同的两姐妹King和kaew。 小时候家庭的变故使两姐妹分开，终于有一天，King和Kaew两人见面了，彼此对和自己有着一样面孔的对方都感到好奇，共同的血缘牵引着彼此，随着时间的流逝，两人是姐妹以及母亲被陷害的事实一点点浮出水面，两人各自的感情归属也逐渐明朗．．．汉军不敌之后才撤退的……李左车追问道：汉军撤退的时候是有序撤退，还是阵势混乱？并不凌乱……这就对了。2. As a Cheng Yuan who has been engaged in machine learning for more than two years, seeing the computer series you recommended also thinks it is very unreliable. I have read most of the books you recommended. In particular, novice readers are not recommended to read "Introduction to Algorithms" and "Data Mining: Concepts and Technologies". These two books are thick and heavy. Although the content is also good, you will not know the year of the monkey when you finish reading them. What does a novice need? It's getting started! Secondly, have you really finished reading Python Core Programming? This book is not for Python newcomers. It is very thick and difficult. It is very unfriendly to newcomers. And if you just want to be AI, then many parts of this book don't need to be used. Is web development and Django framework really necessary for our AI engineers? No. Xiao Bai has no distinction between key and non-key points in a book. He spent a lot of time learning unnecessary knowledge, which really does more harm than good. Giving guiding and targeted recommendations is responsible recommendation.不知道谁先喊了一声，然后越来越多的人跟着喊了起来。版本二