We know that computers can be used for work, study, entertainment, etc. In addition to the necessary computer hardware, software is also needed. Usually, we call a computer with only hardware but no software "bare metal", which cannot do any meaningful work. At present, software can be divided into two categories according to its use: system software and application software. System software is a program designed for computer systems to efficiently use and manage computer software and hardware resources and support the operation of application software. Such as operating systems, programming languages and language processing programs, network system software, system service programs, etc. Among them, Windows operating system is what we often use. Application software is a variety of programs that are user-oriented and written to solve practical problems. It can be written by users themselves or purchased. For example, office XP, Photoshop, Red Alert and so on, which we often use.
一位警探因犯罪组织而失去所有后，透过生物科技获得特殊能力，打算一报血海深仇。
歌姬有些慌了：那……我也要被锦衣卫押着么？怕什么，皇上从来就是打个雷，雨怎么下，我说的算。
迟鸣是一个充满智慧而又很懂得享受生活的刑警，他的顶头上司，则是性格雷厉风行的女刑警队长--徐若风(于小慧饰演)。只有他们自己知道，他们曾共同拥有一段以分别而告终的恋情，如果不是因为一场不得已的误会，徐若风就成为了他的妻子。但现在，徐若风却是迟鸣心中永远的遗憾。没想到若干年后，这对恋人再次相遇，徐若风偏偏又是迟鸣的顶头上司，他们该如何相处？他们又该如何面对再次燃烧的感情？可就是这一对性格差异大得根本不可能相爱、却又偏偏相爱的男女警察，在一起调查着一系列悬念不断的案件，抽丝剥茧地解开每一个案件背后，隐藏着的令人啼嘘不已的关于“情”的故事……
八十年代，歌女朱莎娇(米雪饰)独自带着孪生女儿在流浮山生活，可惜一对女儿长大后却为爱情决裂。莎华离家出走，莎莎难产逝世，莎娇从此肩负照顾外孙女君好的重任，以及收养了哑巴小男孩文初。时光荏苒，君好(何依婷饰)生父祝展辉(海俊杰饰)的出现，令莎娇、莎华(姚嘉妮饰)和君好这三代关系，再次陷入爱恨纠缠之中。文初(胡鸿钧饰)、君好与年青有为的司徒礼信(罗天宇饰)因缘分结为好友，渐渐让兄妹间泛起超乎亲情之爱，更牵进三角虐恋，无法抉择，唯有以牺牲和无私奉献，成就挚爱的幸福...
The above picture shows the interface for subway ticket purchase from Monday to Friday working days.
姒摇和无诸不是已经出兵了吗？有东瓯和闽越托着，尹旭自己这会正焦头烂额，哪里还顾得上我们，所以不必担心。
Serinda Swan将主演Morwyn Brebner创作的CBC剧集《Coroner》。
喜欢棒球的真琴与同班的两名男生千昭与功介有着共同爱好。一天，与她本是好朋友的千昭突然向她表达爱意，手足无措了她再次穿越时空希望可以躲避这件事的发生。但没想到，千昭会跟同学友梨在一起了，而友梨也是一直喜欢千昭的。此时，暗恋功介的果穗误以为真琴是功介的女友。
Daily Fire Inspection Records
驰名全球的预测帝章鱼保罗之子-保罗二世，为弘扬父亲的正义精神，传承父亲的预测大业，冲破赌博集团对它的控制，多次逃脱追捕，来到中国学习预测祖师诸葛亮的预测术，在高考生水萌萌和金涛的帮助下，机智配合警方捣毁赌博集团，最后闪亮登上世界杯足球决赛现场，做出了独立自主、精准无比的预测，成为亿万民众推崇的新星。
该剧讲述了国企干部齐本安（靳东 饰）临危受命，团结广大干部群众，加强党风廉政建设，挽回流失的国有资产，带领企业在经营困境中成功突围的故事。
吉丸圭佑（生田斗真）是一位名不见经传的小编剧，而他的妻子奈美（吉濑美智子）却是知名畅销书作家。为支持妻子创作，圭佑不仅包揽了所有家务活儿，女儿绘里花（山田杏奈）与儿子空（润浩）也由他照顾，一家四口过得安稳且幸福。虽说圭佑仍坚持在碎片时间写剧本，不过他也觉得自己接不到什么大单子。然而有一天，东西电视台制作人东海林光夫（北村有起哉）打来电话，表示要让圭佑来写黄金时段电视剧的剧本……圭佑原本悠闲安稳的生活就此充满各种手忙脚乱与意外展开……
System.out.println ("build the tree finished! ");
三流国标舞者任小弦和丈夫黄乐宗新婚度蜜月，黄乐宗却在冲浪时失踪。婆婆梅超英深受打击，竟怀疑小弦为谋夺家族武术企业“正宗”害死儿子。超英把小弦当成人生最大的威胁，决定不动声色的赶走她。在一次次失败后，小弦不仅坚信乐宗的感情，还搬进梅家和婆婆一起居住。超英百般无奈之下，诱骗不懂功夫的小弦应对前来踢馆的武术冠军，却不想小弦大获全胜。家族企业“正宗”危机重重，超英勉力支撑，却不敌前夫黄丹青暗算，危机之中小弦尽弃前嫌，照顾倍受打击的婆婆。失忆的超英不仅打出了久已失传的拳术，还逼迫小弦接管“正宗”，深陷情感与权势泥潭的小弦被迫同意，却不知道是婆婆挽留她想出的办法。当婆媳俩联手挫败黄丹青等人阴谋重振家族企业的时候，黄乐宗也历尽艰辛从海外归来，一家人终于等到了属于他们的幸福。
国产腐剧泡面番《和男生同居的日子》 当当当当，第二弹预告片来了。明天晚上8点，B站，各位小伙伴们，正片第一集不见不散哦。更多花絮以及剧照。
该剧讲述了三个家庭中两代人的纠葛的情感经历以及人生曲折的故事。
For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.
