NO.3 White Characters Hurt White Characters
"The first few hours of the battle were the same as before, We use all kinds of weapons in our hands in our positions. Strike the attacking Vietnamese troops, The exchange of fire was very intense, The front of the position was covered with the bodies of the Vietnamese army. We also have a lot of wounded on our side, However, after all, it is based on strong fortifications. More wounds, less deaths, In particular, the wounded are mainly minor, All of them can continue to fight without getting off the line of fire. At that time, my monitor was quite happy. If you play like this, There's not much pressure to hold position 149, The Vietnamese army that could fight could not even get close 400 meters away from the front of the position, As a result, it was only over an hour after he said this. I remember it was one or two o'clock in the afternoon. Something is wrong, The left and right wings of the position, It's two sparse rain forests, The positive was the same, But before the war, in order to facilitate the offensive forces to assault, All of them have been cut down by Vietnamese troops, But it also broadens our horizons, However, it is still unclear what is going on in the rainforest on both sides. Just when something was wrong, First I heard a "buzzing" sound inside, At first it was a little bit, Later it grew bigger and bigger, At last it was so big that it could almost cover the shot when it was fired. No one in our position knows what's going on, All of them stretched out their heads and looked in the direction of the sound. When the "buzzing" sound reached its peak, they saw that a large area of flying insects flew vertically from the rainforest on both wings. If the number were small, whether the sound or flying insects could not be heard or seen at this distance, but now they could hear clearly.
狄仁杰，唐代扶佐武则天进行朝政改革的一代名相。他居官清正，体察民情，除恶扶善，断案如神。出任太原大理寺丞期间，侦破疑案无数，名扬海内，流芳千秋。狄仁杰断案传奇第一部以《御珠案》、《紫光寺》、《朝云观》、《铁钉案》、《红阁子》、《汉家营》六个离奇曲折、引人入胜的故事组成，展示了盛唐时期丰富多彩的粹生活图景，刻画了比西方福尔摩斯早一千年的唐代名相狄仁杰利用逻辑揄进行勘案的聪明才智和历史绩业。
When the incident occurs, the incident will begin to spread. Why should it be spread? Because the event source itself does not have the ability to handle the event. For example, when we click one, a click event will be generated, but the button itself cannot handle the event (nonsense). The event must be propagated from the button to reach the code that can handle the event (for example, we give the onclick attribute of the button the name of a function, that is, let the function handle the click event of the button).
故事发生在抗日战争时期和解放 后中苏珍宝岛战争开始前一个时期的 东北边境黑虎镇一带，围绕中苏情报 员与敌斗智斗勇、烈士后代寻找抗联 地下组织中出卖父辈的叛徒展开。
十八年后，方天择成为了“超能星学园”最大社团的会长，与第二大社团会长天秤座李亚当水火不容。而新转来的特招生程芝儿因为得罪了李亚当在学校受人欺负，又因与方天择纠缠不清的关系受到爱慕方天择的霍贝贝陷害。幸好遇到了狮子班的暖男万适存，他为了保护程芝儿和她一起参加了“超能之星”大赛，然而程芝儿却在这场大赛中与方天择产生了感情。失落的万适存在“超能之星”总决赛中展现出惊人的实力，用尽一切手段逼迫方天择使出双子座的超能力，然而方天择却出乎意料的用出了狮子座的超能力，这让万适存大为震惊。他故意输掉比赛，让方天择夺得荣誉顺理成章的继...
在孤儿院，李俊杰与时云昊（郭家豪 饰）相识，李俊杰的主动保护让两人成为彼此最好朋友。此后，李、时二人结识了亦兄亦父的陈刚，陈刚陪伴两人成长，后又引荐他们一起进入摩世公司。在摩世训练营里，两人同时结识周子萱（娜扎 饰），并都对她产生了别样情愫，周子萱却对李俊杰情有独钟，此时的时云昊选择退出，默默守护。
他沉吟一会，按陈老大夫开的方子抓了药，却将小葱开的那张方子折叠起来放入袖内。
张啸林在一次赛车中撞车造成领航当场身亡。张啸林退出俱乐部，一无所有之时真真来到他身边，两人关系出现扭转，终于在真真和秦若飞将要结婚之前，向真真表明爱意，留住了真真...
《都是爱情惹的祸》原名《成都，今夜请将我遗忘》。
范增轻叹一声，颇感无奈，齐地的反秦义军之中功劳最大的就该是田荣了，按理说是该有封赏。
尹旭笑道：不用你回答了，我已经得到答案。
普通高中生·弄内翔（野村周平饰）因父母离婚而住进了当绘本作家的叔父·洋太的空房子，开始了一个人的生活。翔暗恋学校里同班的美少女同学奈奈美，可奈奈美却对翔的好哥们·智章芳心暗许。一天，翔在家里偶然发现了一台坏了的录像机，里面还插着一盒录像带。他修好录像机后按下了播放键，一个自称“Video Girl·天野爱（西野七濑饰）”的女孩居然从屏幕里走了出来！于是，翔和电影少女天野爱，在同一屋檐下开始了一段三个月的奇妙生活……
你们这是……去看过葫芦哥哥了？玄龟忙点头道：看过了。
讲述了深圳一所重点中学一群充满朝气的少年成长故事。
钓鱼不仅仅是爱好，更是一种执念，驱使我们涉足地球上一些最偏远最狂野最危险的地方。
修炼进度太慢？功法不够给力？武器威力太小？简单，只要灵石管够，任何问题都能解决！
1927年5月21日，湖南爆发了马日事变，大批共产党员、工农群众和爱国志士被杀害。邱金是南乡农民协会主席，因误认敌为友而不幸被捕，在敌人屠杀时侥幸逃脱。回乡后，为受难的乡亲和遇难的母亲复仇的怒火，使得他要与敌人拼命，身负重伤后被县特派员罗大成救出。邱金在罗大成的带领下，遵照毛泽东同志的教导，重新发动组织农民，和敌人展开了针锋相对的斗争。右倾机会主义者王怀志是中央特派员，因认为农民运动过火了而撤了罗大成的职，还要解散工农武装。在战斗中，罗大成壮烈牺牲，王怀志也死于敌人毒手。在党的帮助下，邱金成长为一个红色的指挥员，他响应毛委员的号召，领导工农自卫队举行了暴动。最后，他带着这支部队，跟随毛泽东同志进入了井冈山地区。
Super Data Manipulator: I am still groping at this stage. I can't give too much advice. I can only give a little experience summarized so far: try to expand the data and see how to deal with it faster and better. Faster-How should distributed mechanisms be trained? Model Parallelism or Data Parallelism? How to reduce the network delay and IO time between machines between multiple machines and multiple cards is a problem to be considered. Better-how to ensure that the loss of accuracy is minimized while increasing the speed? How to change can improve the accuracy and MAP of the model is also worth thinking about.
