Whether it is file uploading, music or video players, some obvious state distinctions can be found. For example, there are several states in the file upload program: scanning, uploading, pausing, uploading successfully and uploading failed. The music player can be divided into several states: loading, playing, pausing and playing after. When clicking the same button, the behavior in upload and pause states is different, and their style class is also different.
Extension: From the above analysis, it can be seen that the dispatchTouchEvent () method is called by the parent View, and the child View tells the parent View whether to consume the event through the return value of this method, which is known to all. However, consider a question, Activity-> ViewGroup 1-> ViewGroup 2-> View. If the events are distributed in this order and the View finally consumes the down event, how does Activity know whether the View consumes the event? The process must be like this.
江北警方追查新型毒品“天使”跨国大案，机缘巧合下，一腔热血的刘子光协助胡蓉和警方将聂万峰（刘奕君 饰）及相关毒枭一一揪出，却意外发现自己牵涉其中，且与聂万峰渊源颇深。胡蓉的亲生父亲在执行卧底任务时被杀害，也和刘子光脱不了关系。
危险逼进，路见不平的侠医傅青主（刘家良饰）为了解武庄之危，带了两位武庄青年武元英（杨采妮饰）和韩志邦（陆毅饰）上天山求助。擅于铸剑的世外高人晦明大师住在万里冰封的天山上，他珍藏七把剑中珍品。座下有大弟子楚昭南（甄子丹饰），二弟子杨云聪（黎明饰），三弟子辛龙子（戴立吾饰）以及四弟子穆郎（周群达饰），晦明大师认为武元英和韩志邦也是可塑之材，加上傅青主本人，把毕生修为炼成的七把宝剑分赠七人，是为“七剑下天山”的武林传奇。
Pre-receipt and receipt of documents:
1. As a math student, I have studied math for four years, and I don't agree with the bibliography you gave at random. First, there is no step type and it is unfriendly to beginners. Your title and the purpose of writing this series are probably for Xiaobai to see. So, may I ask, a Xiaobai needs to see the principle of mathematical analysis? ? Is it necessary to look at Princeton Calculus Principle to learn artificial intelligence? ? In my shallow understanding, the biggest difference between mathematical analysis and advanced mathematics is the same theorem. High numbers only require that they can be used. Mathematical analysis is rigorous and will definitely give proof. However, for the mathematics needed in most artificial intelligence, you need to prove the correctness and completeness of this theorem in your work? ? I'm afraid the project will be closed long ago when you prove it. You replied to me that this is only a bibliography, not a recommended bibliography, but most of the following comments decided to give up when they saw the book list. If you put these books out, it will be instructive to those who read your articles. I think you are misleading people. Second, I have roughly deduced from the number of references you have made that you may not have a framework for the mathematics of the whole artificial intelligence, otherwise there would not have been such irresponsible recommendations. However, out of respect for you, I did not question your ability. I only gave a brief recommendation in the comments on the suitable math bibliography for beginners.
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.
花果山的两魔王青灵和翩翩因争夺一颗共同修炼的“慧丹”打斗起来，不慎，慧丹掉入一石之中。石头轰然迸裂，惊天动地，化出一灵敏聪慧的小石猴，青灵翩翩眼见修炼成果化为乌有，生出一只小石猴，便与石猴结拜，兄妹相称。
You can get the relevant guidebook at the subway station, or you can get it directly from the station staff if you can't find it. When enjoying the discount, you only need to show your one-day ticket. The store will confirm the date behind the ticket and then provide the discount service.
Events replace the work that could only be performed by the scheduled tasks of the operating system, and MySQL's event scheduler can be accurate to one task per second, while the scheduled tasks of the operating system (such as CRON under Linux or task planning under Windows) can only be accurate to one task per minute.
明朝末年，武林动荡，穆家老爷闭关修炼，出关当晚，恰巧其子穆正天妻子临盆产下男婴，令穆老爷兴奋，欲将修炼的锦盒传与后人，继承穆家匡扶正义的宗旨，不料其阴险的弟弟穆阳荣勾结黑鹰帮抢夺锦盒，血洗穆家。事后，黑鹰帮故意扬言锦盒乃武林秘籍，此事流出，一时风云四起，引发江湖人士对武林秘籍的争夺。 穆府管家独自抚养长大了穆家遗孤无言，其正义耿直，但又任性，一心想成为侠客，为报穆家之仇。期间结识了各大帮派，并卷入江湖之争。最终，为化解江湖的恩怨，同时也为了捣毁黑鹰帮欲霸的阴谋，无言与江湖人士联手，齐心协力，一同匡扶正义，与邪恶的黑鹰帮展开生死博斗。
IV. Prototype Model
1539
本片从两个不同角度讲述了一对夫妻的故事，他们从56K调制解调器的时代开始约会，并在接下来的二十年中维护着这段感情。
赵向阳和赵向东都上高三，两兄弟的性格完全不同。哥哥向阳温顺乖巧，是老师宠爱的好学生。弟弟向东学习成绩也很好，性格耿直，从小喜欢舞刀弄棒，曾是市里的少年散打亚军。向东暗中喜欢同年级且又是邻居的漂亮女生徐美萍。可美萍喜欢的却是哥哥向阳。由于美萍的父母早亡，美萍一直是百家饭长大，尤其是和赵家关系甚好。
太行山一带，八路军游击队司令龙大谷骁勇善战，机智过人，15岁就参加了红军，身经百战，被军中将士们奉为“战神”。抗日战争爆发前，龙大谷因在抗大学习期间，为替警卫员李广出头，一时冲动出手打了同期学员张道平，受了处分。以至于在红军缩编为八路军之时，龙大谷从原来的红军副师长降为游击队司令，随行上任的只有警卫员李广和参谋刘水泉二人，以及上级领导田烽给他的五十块大洋。即便如此，龙大谷依然不屈不挠，硬是在山西这块热土上平地拉起一支敢打、能拼、必胜，号称“龙支队”的作战队伍，凭借丰富的作战经验打赢了一场又一场的恶战，威震敌方！
所以，我们一定要等所有的赎金和赎物交清后，才能放了公主。
这已经不是委曲求全，就能了事。
