[ON COMPLETION [NOT] PRESERVE]: optional; default is ON COMPLETION NOT PRESERVE, that is, the event will be dropped automatically after the execution of the planned task is completed; ON COMPLETION PRESERVE will not drop.
新年已至，欢乐颂22楼每个人的新问题也接踵而来：安迪（刘涛饰）因包奕凡（杨烁饰）迎来情感的新可能，却也面临来自身世及包家内部带来的新困扰；樊胜美（蒋欣饰）尝试起步新生活，却仍难脱离家庭泥淖，对王柏川（张陆饰）处处依赖事事紧逼；曲筱绡（王子文饰）与赵医生（王凯饰）差距仍存 ，分和不断，曲家看似稳定的家庭关系实则危机四伏；邱莹莹（杨紫饰）对应勤（吴昊宸饰）一片痴情，情感经历却令应勤无法接受；关雎尔（乔欣饰）邂逅摇滚青年谢童（邓伦饰）坠入爱河，却遭到父母的激烈反对。
大维（杨成 饰）是一名网络工程师，他曾有过一段婚姻，但这段婚姻终究以失败告终。虽然离了婚，但前妻艾玛（杨梓嫣 饰）却并没有从他的身边消失，两人一直保持着断断续续的联系。傅民（范雷 饰）是稳坐办公室的小小科员，最近，单位里科长的位置空缺了，这让野心勃勃的傅民开始想入非非。与此同时，傅民在乡下的小表妹小翠（隋佳红 饰）痴痴的爱慕着他，对他紧追不舍死缠烂打。
此次OVA的制作阵容有别于06年TV版的阵容，动画制作公司为Brain'sBase，制作人员也全部换成了Brain'sBase的下属员工。此次OVA动画中将由钉宫理惠来顶替川上友子来担任风林寺美羽的声优。另外OVA动画新登场的角色将由绿川光、小清水亚美、浪川大辅等知名声优担任，声优阵容更加华丽。
根据作家木子喵喵同名小说改编的剧集《竹马钢琴师》，天娱新晋小花金雯昕出演女主角杨初末。
The setting method is as follows:
俄罗斯奇幻悬疑穿越剧，霍金一直十分担心人类安危，再发警告不要登月，理由是月球背面有外星人，月亮的背面底有没有外星人？不管有没有外星人，月之暗面有平行时空！一男子穿越回苏联变成了他爸！历史能否改变？@www.55dys.com
"I didn't react at first, and the" buzzing "sound they made at that time was too loud. Did I not say it just now? I could cover the gunshot. A comrade-in-arms around me spoke to me. I could only see his mouth moving, but I couldn't hear any word he said. My ears were full of the" buzzing "sound, which was very noisy." Zhang Xiaobo said.
香荽笑道：淼淼姐姐，不要紧的，洗干净了，放在火笼上一烘就干了。
从医馆大堂出来后，却在院中遇见个同窗，也是在青山书院进学的，因偶有些不适，过来医馆求诊。
山芋粉丝滑，搁点香荽味更长——啊。
新的鬼片吉祥之家 2集一个短剧。第一个故事~ 招灾大学生。。。。。。
女律师Christine向往正义，她发现一个蹲了11年监狱的死刑犯很可能是被冤枉的，于是决定查明真相。而地区检察官Adam相信着世上没有绝对的对错，司法原本就是个灰色地带。二人将在剧中展开什么样的对抗？
Manaca's Chinese name is Manaka, which is very directly transliterated by Asasian. When handling Manaka, 500 yen is required as the cost of production, which can be purchased through the ticket vending machine and window staff at the station.
PK No One Can Beat Asura
网剧《云南虫谷》改编自天下霸唱小说《鬼吹灯之云南虫谷》，承接《龙岭迷窟》剧情，讲述了由胡八一（潘粤明 饰）、Shirley杨（张雨绮 饰）、王胖子（姜超 饰）组成的探险三人组查到传闻中救人性命的雮尘珠成为了古滇国献王墓的随葬品，特深入瘴疠之地探寻雮尘珠踪迹的故事。
天使的世界，小天使长大了开始了新的生活。
小赵三大名叫赵锋，只比葫芦小几个月，却比他高半个头，看起来像十四五岁的少年，一副桀骜不驯的模样。
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.
If we want to delete rule 3 in the above figure, we can use the following command.
