The situation in centos7 is slightly different from that in centos6. Let's first talk about how to save iptables rules in centos6.
富家女白露（甘露 饰）不满父母一直安排自己与高富帅陈蔚然的婚姻，一气之下与闺蜜叶晓琪（艾晓琪 饰）开车出游散心。没想到接连遭遇天外飞筐和崴脚事件，从而结识了“臭流氓”李小憨（王聪 饰）和“特种炊事兵”孙大海。白富美是否真的只能选择高富帅，还是在旅途中寻到真爱？
Void Print (string str)
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).
《Graves》，讲述Nick Nolte扮演的前总统在任期后25年幡然醒悟之前他提的政策将对国家有数十年的损坏，因此决定伙同年轻的助理（Skylar Astin饰）开始一场唐吉歌德般的“旅程”改正他之前的政策错误，而他的老婆，前第一夫人也下决心开展自己的政治野心。@www.55dys.com
平凡的高中生相川步，在莫名其妙的因缘下被卷入震惊社会的连环杀人案中身亡，但他竟然死而复生了。原来在事件发生之前与步偶然邂逅的死灵法师优，将他变成了僵尸而复活。再加上来自魔法世界的少女战士春奈，与另一个吸血忍者少女瑟拉，甚至演变成步跟她们全同居在一起的局面……
水国皇帝生怕靖国趁此机会也灭了水国，慌忙派使臣携带无数礼物来求和。
从小爸妈就分开的恩祖童年一直就到
小葱对他丢了个嘲笑的眼光，然后朝娘努努嘴。
迅疾撂倒走在最后的小蝶，然后长剑一挺，刺向青鸾公主。
由中国电视剧制做中心制做，导演潘欣欣；主要演员：张宝庆(孙少平); 任冶湘(田晓霞); 郑保国(孙少安); 金顺子(田润叶)。
所以，张家欠他一个妹妹，就该娶了堂妹做媳妇，好补偿王家。
凯叔讲故事是一个专门给孩子讲睡前故事的微信公众号。凯叔名叫王凯，是一名自媒体人。凯叔讲故事，不止讲给孩子的故事，对于大人来说，同样是一种童年的回忆。
主人公石破天自小没名没姓，和一个他以为是自己母亲的女人，僻居于一座不知名的荒山上。那女人叫他做狗杂种，他便以为这就是他自己的名字。那女人脾气古怪，动辄打骂于他，他也习以为常。他从小学会了砍柴、做饭等种种家务，却大字不识一个，于世事、人心更是一无所知。一天那女人忽然不见了，他自小相伴的那条叫“阿黄”的狗也不见了，便出去到处寻找。结果人和狗都没找着，自己却迷了路。
冥河教祖身边浮现出无边血光，一个又一个狰狞恐怖的血影从中走出来。
愛德華的妻子和孩子死於一場悲慘的意外，於是他前往平行宇宙，為愛妻尋找更理想的宿命。
1973年10月6日。以埃及和叙利亚为首的阿拉伯国家发动了一场出其不意的入侵，在犹太历中最神圣的节日赎罪日(Yom Kippur)几乎占领了以色列。故事是通过三个角色的眼睛讲述的，他们的生活被抛入战斗的中心，它令人陶醉、上瘾的效果以及它的荒谬。
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 ~
At the beginning of this year, Osaka Weaving House cut off the Electronic Commerce Department and Wang Bo led the establishment of a new Tmall retail division covering the backbone of various departments. The COO said that the new retail is a new thing for Osaka Weaving House, and it is inevitable to encounter obstacles in advancing layer by layer. He is in charge and can use the company's administrative means to ensure the speed of advancing when necessary.
