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I remember the fighting was fierce, Almost everyone's barrel was red, But that's it, There is still a "slip through the net" in these things, Towards the end of the third exchange of fire, And one came up from the right side of the position, I turned around and shot it, After pulling the trigger, One shot hit him in one of his hind legs, I watched helplessly as the impact of the bullet knocked its hind legs off its body. But it doesn't seem to care, It is still a leap forward, He threw himself on a soldier named Zhou Xiaolin beside me. Biting his thigh and not letting go, Ge Xiaolin's painful "wah-wah" yelling, I think we've just had an attack, A little respite, He asked two people to help him get this thing off his leg with me. As a result, I was busy for nearly 5 minutes, Break this thing up with a dagger, But it did not let go, Finally, I used a faster knife. It's only by opening its mouth from the outside to the inside that it's allowed to let go. But Zhou Xiaolin is still relatively unfortunate, Although the thing was loose, almost a small watermelon area of meat was torn off on his bitten left thigh, and the thigh bone inside could be seen from the front. A cyan artery on the outside of the thigh was also exposed for a while, while he himself was in a coma due to excessive blood loss and severe pain.杨康的儿子杨过（古天乐 饰）自小被郭靖收养，郭靖希望他学好，于是送到了桃花岛跟黄药诗学习。杨过在桃花岛上整日被郭芙和大、小武欺负，一气之下独自出走了。杨过被古墓派的小龙女（李若彤 饰）收留，认她作姑姑，生活在活死人墓里跟小龙女学习武功，日久天长，两人渐渐互生情愫，决定今生今世结成夫妻，永远生活在古墓。可惜机缘巧合下，他们最终要走出活死人墓，去经历一番江湖恩怨，两人最后能否有情人终成眷属五位素不相识的年轻人,意外进入了怪兽横行的时空。他们面对的将是一场屠杀盛宴。在一个充满了不可思议的能量矩阵的结界中,他们五个人似乎进入了一场无限循环的生死杀戮游戏。深处密林中的每个人,似乎都在被监控之下。要想逃出生天,拯救自己,他们需要异兽的帮助,他们似乎又要躲避异兽的追杀。安妮玛丽(Kate Bosworth 饰)是位酷爱冲浪的美国女孩，为了参加一年一度的全美冲浪高手大赛，她选择远离温暖舒适的家，而住在夏威夷海滩边一间简陋的小屋里。和她同屋的还有另外两个志趣相投的女孩，三人展开了艰苦的训练。但比赛的日期一天天逼近，安妮却遇到了自己心目中的理想男孩。爱情和冲浪，她到底该如何取舍呢？Physical Attack +19在遥远的北方，曼斯·雷德将各个野人部落团结起来，组建起一支维斯特洛大陆从未见过的庞大军队。只有守夜人军团能够阻挡她入侵七大王国的步伐，但守夜人军团司令率领一支小队北行之后至今未归，没有人知道他们发生了什么事情。狭海的另一端，丹妮莉斯与自己的龙子团聚，她和部从开始寻找新的战船和盟友。In reality, we often encounter multi-classification learning tasks. Some two-classification learning methods can be directly extended to multi-classification, but in more cases, we use two-classification learners to solve multi-classification problems based on some basic strategies. Therefore, the fundamental method of multi-classification problem is still the two-classification problem.