草虹与她魔女同伴们的平静生活，在他们饭馆的房东马成泰（显祐饰）有一天突然现身时变得复杂起来。成泰想要面对小时候，在那栋建筑物内发生在他身上的创伤事件。
(2) Market segmentation: In the "era of concentration", product spokesmen should also be detailed and spokesmen should be subdivided. Including the breakdown of gender, age, personality, nationality, etc. Different regions have different concepts, consumption patterns, consumption concepts, economic and cultural backgrounds and aesthetic methods. Stars have different influence in different regions.
《青青草》讲述了一个内心丰富的男人与一个假小子般的美丽公主之间快乐动人、妙趣横生的爱情故事。儿科医生成莲好（蔡琳饰）是名来自富庶家庭、被寄予重望的独生女，她聪明美丽，以自我为中心，我行我素，开朗、傲慢；汽车销售员车泰勇（崔秀钟饰）性格乐观直率，有着坚强的信念和不知妥协的正义感，在工作上，他坚守自己的原则，虽然吃亏的事情经常发生，但他认为信念比眼前利益更重要。就在订婚前几天，成莲好爱上了对生活充满激……
At the beginning of the film, the sound of Scottish bagpipes was accompanied, and the picture was full of solemn and repressive religious ritual.
崔江熙将在剧中饰演白灿美（伪装名：白章美），她原本是传奇的秘密特工，实力超群但性格最糟，是后辈们最想避开的对象，也是最年轻的组长。在某次行动中不仅部下死了，还让犯人逃走了，之后她就在国情院网络安全组里以“核弹两人炸鸡”的ID每天平均发表250条以上的评论。她原本已经死心认为自己再也不能回到现场，但某一天突然接到现场出动的命令。
There is a person who wants to learn English. He does not memorize words by rote, nor does he listen to English recordings hard.
* Do your best
吉姆是一名普通的纽约保安，工作之余和几个穷哥们吃吃汉堡喝个小酒，过着不富裕但平静的生活。突然间,一切都变了,先是他挚爱的妻子身患重病，没有医疗保险要付大笔的医药费。祸不单行，华尔街的金融家操纵金融市场，导致吉姆投资的金融产品不但没有赚钱，反倒欠了银行一笔巨款。这时候律师出场，声称可以替他打赢官司，不用还债，但本金损失了，而且还要一大笔律师费。吉姆的好朋友伸出了援助之手。最终却又过了苛刻的期限，导致吉姆失去所拥有一切。由于欠下一大笔款，遭到了保安公司的辞退，失去了赖以为生的工作。在回家的路上，他的妻子在家中绝望地自杀了。在充满愤怒下，吉姆选择极端的报复以夺回他以前失去的。电影由始而终是一部悲剧，讲述了美国一个勤勤恳恳的普通劳动者先是因病致贫，又被经济人，律师，华尔街的银行家，检察官蛇鼠一窝残酷地压榨，最终家破人亡的惨剧。吉姆勇敢的用他自己的方法惩罚那些华尔街的寄生虫。电影最后，主人公血洗华尔街并借特警杀死了卑鄙的银行家后，在同是受尽压迫的警察朋友的帮助下成功离开了现场，并发誓会继续为正义而
奔跑了好一阵，才在一条闹嚷嚷的大街街口停下，周围全是五彩绚烂的花灯，行人只顾看灯，没有人注意他们。
Private String name;
几个军士立即围了上来。
1976年2月，在吉布提，一辆校车在索马里边境被劫持为人质。救援小队必须在30小时内完成救援……
“认真王”少女林鹿(宋伊人饰)因弟弟重病需高额医药费与“幼稚鬼”霸道总裁时敛森(严禹豪饰)签订恋爱契约的故事。在契约的牵引下二人的恋爱正式拉开帷幕，林鹿总是误打误撞闯入时敛森的警戒区触犯界限，两人在一系列啼笑皆非、宠溺甜蜜的日常中逐渐走近彼此……然而，契约终究只能约束关系约束不了人心，究竟二人的感情将如何发展?
2.5
Know the principle + can change the model details man: if you come to this step, congratulations, get started. For anyone who does machine learning/in-depth learning, it is not enough to only understand the principle, because the company does not recruit you to be a researcher, when you come, you have to work, and when you work, you have to fall to the ground. Since you want to land, you can manually write code and run each familiar and common model, so that for some businesses of the company, you can make appropriate adjustments and changes to the model to adapt to different business scenarios. This is also the current situation of engineers in most first-and second-tier companies. However, the overall architecture capability of the model and the distributed operation capability of super-large data may still be lacking in the scheme design. I have been working hard at this stage and hope to go further.
