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According to the basic structure of the code above, TeaAndMilkGirl is a sent object (here is milk tea sister); Ceo is the object of giving gifts. He has preserved the attribute of milk tea sister and has his own privileged method. SendMarriageRing is such a method of giving gifts to milk tea sister. Then he wants to finish the matter through his agent, so he needs to create an agent model of economic man, named ProxyObj;. The main thing he does is, Give the gift given to him by the ceo to the ceo's lover, Therefore, the object also needs to save the ceo lover's object as its own attribute, and also needs a privileged method sendGift, which is to give gifts. Therefore, the ontology object can be instantiated in this method. The ontology object here is the ceo sending flowers. Therefore, it is necessary to instantiate the ontology object and call the ontology object's method (sendMarriageRing)./snicker (snicker)该剧讲述单身女李妍书因一起偶发事件而在路边捡到世界巨星姜俊赫的故事，将会是一部监禁轻喜剧。成勋将在剧中饰演拥有致命魅力的明星姜俊赫，被称为亚洲恋人，一直过着奢华的生活，但却在机缘巧合之下被关在了妍书家中，经历了足以动摇整个人生的一连串事件；金佳恩将饰演平凡无奇的普通人李妍书，有一天突然遇到了与自己过着截然不同的生活的巨星俊赫，人生也开始了过山车之旅。小胡子闻言愣了一下，随后破口大骂哦：谁他娘的说她了，说你呢，站直了抬头明白么？。(2) This danger may sometimes exist even if there is a significant change in orientation, especially when approaching a large ship or towing group or when approaching another ship at close range.大導演張徹將金庸名著改編搬上銀幕，動用龐大演員陣容，包括由郭追分飾推動故事發展的骨幹人物石中玉、石中堅兄弟、文雪兒飾女主角叮噹、唐菁飾玄素莊莊主石清、劉慧玲飾閔柔、王力飾「摩天居士」謝煙客等等。故事講述石中堅自幼隨養母梅芳姑於深山居住，一日偶拾「玄鐵令」，並得謝煙客傳授武功，卻被長樂幫幫眾誤認為幫主石中玉；及後更被叮噹所騙，願意替石中玉到雪山派代罪領死。最後真相大白，石中堅竟為石清失散多年的兒子……本片結構緊湊，情節曲折奇詭，既描寫武林恩怨，也刻劃江湖兒女情，顯示了金庸作品的超凡造詣以及張徹導演手法的老到功力，是一部不可多得的佳作。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 ~