一九三O年（民国19年）五月九日，市南的一栋居民住宅发生重大火灾，起火原因不明，住宅全部被毁。一对青年夫妇顾湛秋、谢悦面目全非，陈尸废墟。经勘查，二人生前曾激烈互殴。其女顾惜侥幸被爷爷顾正明得救。顾正明告诉警方他在火起后到达火灾现场。警方根据顾正明的暗示，找到谢悦的旧情人方平卓，方平卓列出不在场证明。警方经过调查认为，火警虽有疑点，但缺少证据，只能作为夫妻冲突酿成灾难而结案。顾惜在顾正明的教导长大下，一直将方平卓认作仇人。当她从报纸上得知方平卓回国的消息，便开始她的复仇计划……
Changing variables changes arguments, and changing argumnets also changes local variables, even if they are not in a scope.
男主是个花花公子，身边少不了一些的野花，可是他爷爷不喜欢他的生活方式，就向他投出了重磅炸弹——j结婚成家，不然就把公司的政权和资产给男主的妹妹。接着男主对女主一见钟情，女主是个健身教练，长得漂亮身材也很好，很多的男学生参加了她的健身课，男主正好是健身房的老板，当然时想尽办法与她单独相处，同时女主的妈妈因摔下楼而受伤，需要花钱可是女主并没有钱，就当她有所困扰时，男主出现了，但条件与他结婚，开始女主是不同意的，后来还是点了头。 结婚后男主还是照样花心，到处采野花，整天跟别人上床。把女主冷落在家里，男主的爷爷的生日会上女主一展自己的舞技，给男主的爷爷留下了好印象，同时也受到了那些野花的讽刺和排挤。越到后来，女主就越受这些人的欺负和
俗务繁忙，等日后闲暇再行会见。
林聪神情也不好看，心道：老东西，自作多情。
你为了小鱼儿，逼死了花无缺？苏樱退后几步，不敢置信的看着铁心兰。
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 ~
尤其是在古代交通不发达的岁月里，更是如此。
Shanghai!
诡计多端的正（张家辉）与市井小混井（钱嘉乐）常利用千术在江湖中混饭吃，不料一次误撞下，害死了井的师父生（廖启智），又令钱庄老板孔（罗乐林）生意一落千丈，孔女宝（张玉珊）沦落为花魁。另外，正因揭破「天下第一牙」的公正行少东麟（宣萱）是女儿家身份，被麟逼婚以保公正行声誉，正于是要由老千变成坚守廉正的公正行主持，真是苦不堪言！
故事以女主角吉蒂开篇，为了逃离20年代伦敦浮华却又空虚的社交圈，也为了防止自己变成一位老姑娘，吉蒂接受了沉默寡言的医生沃特·费恩的求婚。费恩在把吉蒂带到上海后，便迅速地投入到了他的细菌学研究中去。孤独的吉蒂发生了婚外情，当费恩发现时，他羞恨交加。
因为，每一想起他，她就觉得一颗心不断往下沉，忽然间无喜无悲，觉得日月无光，世界都成了灰色的。
Now use code to describe this scene. First, define a Light class. It can be predicted that the light object light will be created from the Light class. The light object will have two attributes. State will be used to record the current state of the light and button will be used to represent the specific switch button.
? ? One possible method is not to worry about the model but to try to continuously increase rewards in different measurements of x (t), which introduces reinforcement learning in the field of "normative analysis". This canonical analysis not only uses the creation of control systems from scratch, but also applies to the modeling and analysis of time-varying models. It should be emphasized that this is a control method that relies purely on feedback and does not rely on traditional control theories.
Grandma is a border guard on the border between China and Kyrgyzstan. Along the ridge, along the river, along the grassland, along the border of the motherland, and the road under her feet, closely fit. Along the way, she carved tens of thousands of such stones, and even she could not count the boundary markers stacked. This yard is 45 years.
天边只有一丝月牙儿，夜晚本就昏暗无比，在树木茂密的树林里更是如此，除了头顶上一丁点微弱的亮光，可以说是伸手不见五指。
System.out.println ("execute the first opt! ");
Reflective XSS:
胡老太眼色使来，让他问。
