凯瑟琳·海格尔(《实习医生格蕾》《国事家事》)加盟《金装律师》第8季，担任常驻演员，与加布里埃尔·马赫特上演对手戏。此前该剧已宣布准王妃梅根·马克尔和小麦帕特里克·J·亚当斯都不会回归。海格尔将饰演Samantha Wheeler，是Pearson Specter Litt律师事务所的新合伙人，她才华横溢，将挑战现状，要么成为该公司最大的盟友，要么成为最强大的敌人。剧情的基调也会发生改变，此前主要聚焦马赫特饰演的Harvey Specter和亚当斯饰演的Mike Ross之间的男性关系，现在将用其他元素替代。原卡司莎拉·拉弗提、里克·霍夫曼等回归，最新一季加入成为常规主演的杜勒·希尔也会回归。第8季将于4月多伦多开拍，预计年末播出。
The basic idea is the same as the adapter pattern of the class, except that the Adapter class is modified. This time, instead of inheriting the Source class, an instance of the Source class is held to solve the compatibility problem. Look at the picture:
JSON is self-descriptive and easier to understand
影片讲述朝鲜战争时期，八名韩国士兵秘密完成X-RAY情报计划和八尾岛作战计划，助推美国陆军上将麦克阿瑟指挥成功登陆仁川。
动画主要讲述的是王志哲是电脑权威王博士之子。一天晚上，他和老爸誓要“爆机”，而妈妈如往常一样对这这对无所事事的父子大发雷霆。这时，王博士大学时的好友达克浑身是血登门拜访。正在全家人诧异时，闯进来一只紫色狼人！达克也化身成蓝色狼人，并打败了紫色狼人。
叶桐山负责专案，爱徒郑军、夏小琦进入专案组。林天歌的好友鲁卫东等一大批警校同学也无缘无故成为嫌疑对象，遭到旷日持久的审查。邓龙暗中侦察却被叶桐山逼走，致使商秋云再陷孤单。叶桐山找到了新线索，排除了所有嫌疑人，但终因办案不利被解职，女侦探方丽也就在这时走到了他的身边，用女性的温柔关心着他。
Choosing a professional decoration company to carry out home decoration is relatively clear in terms of construction period and completion time. Owners and decoration companies can specify the specific decoration time and completion time, which is more secure for owners to arrange furniture admission and real occupancy time. Of course! The construction period and completion time should also be clearly reflected when signing the contract, and at the same time there should be clear specific responsibilities and compensation for failure to complete the contract on time. Mingdiao Decoration Co., Ltd. Focuses on villas and home decoration services for large and medium-sized luxury houses. The integrated service mode of design, construction, materials, furniture, soft clothing, after-sales and famous carving makes home decoration easier!
那狗虽然很听她话，到底不熟练，因此把个雪橇拉得扭来扭去的。
3 allow that party receiving the req to reject the request
《大敦煌》采用宋代、清末和民国三个历史阶段的创作形式，以一部金字大藏经的命运为贯穿，反映了千年敦煌的形成、发展、辉煌、衰败、重生的过程。
Compared with SYN cache method, SYN? Cookies technology does not need to allocate space at all when receiving a SYN. Because the most basic data that make up the connection state are encoded and compressed into the sequence number bits of SYN-ACK. For a legitimate connection, the server will receive an ACK message segment with a serial number (actually the serial number has been added by 1), then the basic TCB data will be regenerated, and a complete TCB will confirm that the data will be safely instantiated through decompression. This decompression can be successful even under severe attacks, because there is no storage load at all on the host side, only the load that calculates the encoded data into the ACK sequence number. The disadvantage is that not all TCB data can be added to the 32-bit sequence number segment, so some TCP options required for high performance cannot be encoded. Another problem is that such SYN-ACK message segments will not be forwarded (because forwarding requires complete state data).
电影《幸福迷途》被称做中国版《欲望都市》，讲述了现代都市不同年龄段的好几对男女，在面对欲望都市中形形色色的诱惑时，迷失自我深陷情感纠葛的故事。电影中的每个人在追寻幸福的路上难免会遇到各种阻碍和苦难，但是迷途过后，幸福就会如期而至。
雷蒙德·巴隆是纽约一家体育报社的记者，他与妻子戴博拉、四岁的女儿艾利以及一对两岁的双胞胎——迈克和杰夫里，一起住在纽约长岛一栋宽敞漂亮的房子里。雷蒙德在工作上取得的优异成就和宽容风趣的性格让他成为家人的骄傲，以及所有人爱戴的对象；贤妻良母型的全职母亲戴博拉的精心经营更让这个年轻的五口之家成为美国三好家庭的文明典范。然而，家家的确都会有本难念的经……
Crime investigations against a stunning seaside backdrop are at the heart of this entertaining new drama series, which follows a high-flying solicitor who returns to live and work in the small town she escaped as a teenager.
云雾山的地契说不定也是他偷卖的，所以他现在又想凭着假玉米将这处产业拿回来，所以才在进京后，不先帮玉米认亲，而是去云州摸底……他真是高才，这一番话，让人听了，觉得比白凡说的更合理，甚至比大苞谷说得都合理。
樱庭美子（泷本美织 饰）从小在福利院长大，志向是成为一名合格的修女，并且为此不断的努力着，然而，不知是天赋不够还是运气太差，美子总不能如愿。某日，名为马渊的超人气乐队经纪人找到了美子，原来，美子的哥哥美男（泷本美织 饰）是这支乐队中的一员，今天将要举行签约仪式，然而，如此重要的日子，美男竟然将要缺席，为了保住自己的工作，马渊恳请美子女扮男装假扮美男，帮助自己度过难关。就这样，美子站在了事务所所长面前，在所长的要求下，美子演唱了一段赞歌，惊呆了在场的所有人。之后，美子又被马渊拜托继续假扮美男三个月，因为真正的美男因为惹是生非而住进了医院。
本剧讲述的是19世纪末叶在位于柏林最大的历史最悠久的医院“夏绿特”里一些著名医师和科学家的丰功伟绩。
Considering N categories C1, C2 …, CN, the basic idea of multi-classification learning is "disassembly method", that is, multi-classification tasks are disassembled into several two-classification tasks to solve. Specifically, the problem is split first, and then a classifier is trained for each split second classification task. During the test, the prediction results of these classifiers are integrated to obtain the final multi-classification results. The key here is how to split multiple classification tasks and how to integrate multiple classifiers.
Update 20171009
