String str= "Hello, World";
但他很确定，自己是彻底的失职了。
《基本演绎法》正式续订第6季。
有炒白菜，还有白萝卜汤。
郭寒的《魔都》和《佛本是道》同时发书，同时上架销售。
Only amateur athletes are allowed to participate in the Olympic boxing matches, which are divided into 12 categories according to their weight: 48, 51, 54, 57, 60, 63.5, 67, 71, 81 and 91 kg or more.
The citizens of Hope Valley make arrangements to help the recently displaced settlers, during the Christmas season. As they make preparations, a peddler comes to town selling his wares.
当天，凪偶然遇到名门女子学校的女高中生天野绘里香，为了帮助不想和未婚夫结婚的她，他答应了她的请求，半强行地扮演了她男朋友这一角色……
7.3 Spontaneous pneumothorax is unqualified.
Modern boxing began in England and became very popular in the 17th century. In 1904, the 3rd Olympic Games was included in the competition.
当然了，事在人为，还是少不得许多谋划。
DRDoS
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After understanding the history and classification of design patterns, how should we learn design patterns? Before learning the design pattern, readers must establish a kind of consciousness, that is, the design pattern is not only a method and technology, but also an idea and a methodology. It has nothing to do with the specific language. The main purpose of learning design patterns is to establish object-oriented ideas, program to the interface as much as possible, with low coupling and high cohesion, so that the programs you design can be reused as much as possible. "Specious. Learning design patterns can better understand object-oriented ideas. Design patterns are some design skills and tricks. Don't rise to ideas and methodologies, okay?"
17岁的高中女生夏叶舞暑假期间在东京的一个打击练习场做兼职，一位47岁的神秘前职棒选手的男子说：「只要看挥棒就能告诉对方该有什么烦脑」他用“棒球理论”的独特比喻“人生论”来引导每次出现在练习场的女性们解决烦恼的方向。
身为高三生的两人，即将参加最后一次的音乐竞赛会，自选曲是〈莉兹与青鸟〉，这是一首以童话为蓝本所创作的曲子，为双簧管和长笛共演的独奏曲。「霙是莉兹，希美是青鸟」两人一边将自己的情感投射于童话故事中，一边练习曲子度过不安焦躁的每一天。总是不太契合的齿轮，为了寻求相合的瞬间，而不停地转动著……究竟霙是否能对希美坦露自己真正的烦恼呢？
杜月笙效命于黄金荣，出生入死，立大功；孝敬黄夫人，得欢心；庇护手下，得人心；临危不乱，调度有方；单刀赴会独闯兵营，以死相救黄金荣，声名大振，与黄金荣以兄弟相称。
It is easy to see that OvR only needs to train N classifiers, while OvO needs to train N (N-1)/2 classifiers, so the storage overhead and test time overhead of OvO are usually larger than OvR. However, in training, each classifier of OVR uses all training samples, while each classifier of OVO only uses samples of two classes. Therefore, when there are many classes, the training time cost of OVO is usually smaller than that of OVR. As for the prediction performance, it depends on the specific data distribution, which is similar in most cases.
Public void setNum2 (int num2) {
