If I were to implement a pizza ordering system, I would definitely write the code like this, because this kind of code can be written subconsciously without consuming our brains. However, take a closer look at this code: the purpose of this method is to order pizza. However, the code for ordering pizza also needs knowledge about the production of pizza. This method must know all pizza. Worse still, if the types of pizza are to be expanded or pizza with poor sales volume are to be deleted in the future, then the code for ordering pizza will be modified. It looks very bad and should be revised. Our first step must be to separate the code for producing Pizza from the code for ordering pizza, because you should not let the code for ordering Pizza know the logic for producing pizza, but should hand over the logic for producing Pizza to a special type. In this way, we can cope with future changes-if we want to add or delete pizza, we can directly modify the producer of pizza without affecting the logic of ordering pizza.
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 ~
接下来的行程中，他们虽然也遇见了几波敌人，但因人少，直接就避过了。
改编自同名小说，讲述了在地方病院的医师栗原一止（福士）与患者和恩师的离别，以及在医疗工作中的苦恼与成长。清野菜名和北大路欣也将分别饰演支持着栗原一止的妻子与恩师。
啊？看到这里，李越更加疑惑了。
此剧讲述了由于人为手术操作，所有的一切被抢走，天才外科医生成为医疗诉讼专业律师，他与因为那个手术失去家人和恋人的医疗犯罪检察官相遇而展开的故事，这是一部相信富裕和权力可以左右人的生命的人们，安慰凄惨冤屈的受害者们而展开的温暖痛快故事。
要不尚书试试？杨长帆见了赵文华，一般是称呼工部的头衔，毕竟他的主业是办工部的事儿。
西汉时期(公元80年)，年少的汉昭帝刘弗陵在荒漠迷途，得女孩云歌带其走出荒漠，刘弗陵最终被精灵可爱的云歌打动，互赠礼物后相约十年后的长安相会！10年后，云歌依约到长安，误认刘病已为弗陵，以为他不记得儿时的大漠诺言，身边还多了个美丽女子许平君。伤心的云歌正欲返回大漠，却遇上公子孟珏。萍水相逢的孟珏为云歌排忧解难，看似淡漠，却以独特的方式默默守候云歌。原来，当年八岁的云歌无意中送出两只珍珠绣鞋，一是与她拉钩为誓的刘弗陵，另一就是当年的小乞丐孟珏。云歌费尽心思找寻刘弗陵，机缘巧合地与孟珏相识相爱，却发现自己只是被利用。当她心灰意冷准备回家时，被刘弗陵所救。她以为得到幸福时，陵却意外猝死......珍珠绣鞋牵引出两段情缘，看似造化弄人，却是上天给云歌最好的礼物。
该剧根据2020年全民抗疫涌现出的先进人物和感人事迹改编，由《逆行》《别来，无恙》《婆媳战疫》《幸福社区》《一千公里》《了不起的兔子叔叔》《同舟》七个单元故事组成。
The composite event is pooled, which means that the composite event object will be reused and all attributes will be valued to null after being called. This mechanism is used for performance optimization, so you cannot access the event asynchronously. Unless called, the method will not put the event into the event pool, keeping the event object not referenced by the reset allow code.
You can engrave your name on the cover
由杨童舒、师小红领衔主演，傅艺伟、王奕盛等联合主演。电视剧围绕“亲情”两字展开剧情，杨童舒在开机发布会上谈了她对于亲情的理解：“我对于亲情的理解很简单，亲情是淡淡的，就像家里的粗茶淡饭。虽然不如外面的山珍海味，却是最适合自己口味的。”杨童舒说，她觉得《中国式亲情》这部电视剧非常有意义，能让人们重拾被疏离的亲情，更加珍惜身边的人。
When adding a hyperlink to a title, you do not need to enter an address, but you need to select from the title tree below. If the title tree does not reflect the latest title, click the "Refresh" button. Others are the same as above, and finally click the "Add" button.
清末，古都北京有个叫桂山破落大户以房产抵押得到一只羽毛全白的白家雀，并由此引发出一连串曲折动人的故事。大妞、二妞姐妹因“白家雀之死”被骗进王爷府，结果大妞被王爷奸污后含恨而死；二妞不畏强暴，奋力反抗。最后在朋友们的帮助下，她逃出王爷府，奔向心目中向往的没有罪恶、充满善良自由的地方。
电视剧《中国地》讲述了“九一八”事变后，今辽宁省朝阳市清风岭地区一个叫“赵老嘎”的汉子，带领全家、全村民众浴血奋战，后来在中国共产党的领导下，固守清风岭坚持14年之久未让日军占领的抗日传奇故事。
The mother narrowly survived, but the innocent baby boy struggled for half a year and died six months later, ending his short life. According to the doctor's diagnosis, the injured baby boy suffered from brain hypoxia, and even if he was alive, he would only be a vegetable.
泰德（乔什·拉德诺 Josh Radnor 饰）、马修（杰森·席格尔 Jason Segel 饰）和巴尼（尼尔·帕特里克·哈里斯 Neil Patrick Harris 饰）是三个好友，其中只有马修拥有一份稳定爱情——他很快要和幼儿园老师莉莉（艾丽森·汉妮根 Alyson Hannigan 饰）结婚了。而巴尼是个典型花花公子，对他来说，安定下来是不可能的。泰德倒是很想找到所爱，进入正常婚姻生活，也终于在酒吧遇到了心中的女神——美丽女主播罗宾（寇碧·史莫德斯 Cobie Smulders），岂料第一次约会，泰德就心急表白，将女神吓到了。为了解决泰德的爱情困扰，几位损友争相为他出主意，罗宾也慢慢进入他们的好友圈……
