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There is a key point here. Once you get on the CDN, don't disclose the IP address of the source server, otherwise the attacker can bypass the CDN and directly attack the source server. All previous efforts are in vain. Search for "bypassing CDN to obtain real IP addresses" and you will know how rampant the domestic black industry is.网剧《你在我的右手边》是一部青春、励志、喜剧校园剧。该剧以青春为主线，主要讲述了单求胥（男一）与王元鹅（女一）的极品同桌的爱恨交织，矛盾纠结的校园故事。观众将会通过观剧形式，联想到自己的高中时代，怀念曾经历过的美好青春岁月。向田邦子以“爱”为主题，描绘了四个背离道德却又坚强、美丽的女人，遵循着原始的本性，去爱着别人的故事。毫无掩饰的无罪之爱，在现代复苏！本剧共分为4个故事，第一话，隔壁女子，讲述了隐藏在普通主妇表面下女人的嫉妒心；第二话，金鱼之梦，描绘了爱上有妇之夫的女人，幸福而悲伤的故事；第三话，三角波，已经决定结婚的女子，又碰上了另一个男人；第四话，爱这个字，细致地描绘了爱的残酷和温暖。由芒果娱乐出品，湖南卫视寻宝偶像剧《珠联璧合》正在紧张筹备中，并更名为《夺宝奇缘》。故事以寻宝为线索，讲述了一对欢喜冤家浪漫而又刺激的冒险旅程。@南派三叔 任文学总监，男女一号暂定为蒋劲夫、郭雪芙。该剧已定档湖南卫视青春进行时剧场，原定9月15日开机可能会推迟到10月中，11月24日播出。First of all, look at the title carefully. Why not consider intercepting down events but only events after down? Because after intercepting the down event, the event is directly handed over to its own onTouchEvent () for processing, and no longer passes through the sub-View, it becomes the interface of Case 3 (note that this is the interface of Case 3 instead of Case 3, and the internal process is different from Case 3, which will be explained later). After becoming the interface of case 3, the callback to its own onTouchEvent () is divided into non-consumption down and consumption down: non-consumption down is case 1; Consumption down is case 2.Sorry to force a wave of chicken soup. Originally, I planned to write a machine learning series last year, but after writing three articles for work and physical reasons, there was no more. In the first half of this year, I was tired to death after doing a big project. In the second half of this year, I just took a breath of relief, so the follow-up that I owed before will definitely continue to be even more. In order not to let everyone worship blindly, I decided to write a series of in-depth study, one article per week, which will end in about three months. Teach Xiaobai how to get started. And finished! All! No! Fei! ! It is not simply to write demo and tuning parameters that are available on the Internet. Reject demo, start with me! If you don't understand, please leave a message under my article. I will try my best to reply when I see it. This series will mainly adopt the in-depth learning framework of PaddlaPaddle, and will compare the advantages and disadvantages of Keras, TensorFlow and MXNET (because I have only used these four frameworks, there are too many people writing TensorFlow, and I am using PaddlePaddle well at present, so I decided to start with this). All codes will be put on github (link: https://github.com/huxiaoman7/PaddlePaddle_code). Welcome to mention issue and star. At present, only the first article () has been written, and there will be more in-depth explanation and code later. At present, I have made a simple outline. If you are interested in the direction, you can leave me a message, and I will refer to the addition ~