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在霓虹凡心这个故事中，当性和爱成为单调平凡的日常，出柜就已成为过往。 这个故事以五个同性恋挚友为主角，讲述他们如何在应对日常问题的同时体验爱，性以及友谊的含义。Representative occupation: None小龙女是深宫中最受宠的格格，儿时一次偶遇，被一位世外高人收做徒弟，学了很多神奇的法术。一天，小龙女、三皇子还有师弟一起赏花，三皇子看着这眼前幸福的一幕暗中嘱咐师弟，如果他不在了要照顾好小龙女。三个月后三皇子被神龙教教主王聪儿杀害。朝野震动，皇帝因此下令捉拿神龙教主王聪儿。小龙女在殿外偷听了三哥死去的真相，开始了报仇计划。王聪儿为了寻找一柄宝剑，蒙面出现在福大将军的府邸中，传说得此剑者得天下。 小龙女等人无意中偷听到庄主与王聪儿早有勾结。小龙女和福东刚想回宫报信却被王聪儿发现了，三人打了起来，福东身受重伤，肌肉男适时相救，三人得以逃离。 小龙女等人逃到树林中暂作休养，小龙女和福东也渐生情愫，而王聪儿却得到了宝剑，原来是肌肉男为了救小龙女和福东所做的交换，肌肉男回来的时候得知皇帝失踪了，小龙女等人便到皇帝的落脚地寻找，可推开门一看发现皇帝并没有失踪，只是身边多了一名蝶妃，与皇帝交谈时发现皇帝言辞神色有异样，空中还弥漫着一种奇怪的香味，使得众人神志不清，小龙女等人也遭到迷惑和陷害。后来在肌肉男的帮助下小龙女顺利地逃了出来，也解开了皇帝等人的毒。王聪儿并没有收到蝶妃传来的讯号，便杀进皇宫。经过一番激烈的打斗，王聪儿摘下面具，暴露了自己是三皇子的身份，小龙女难以置信。小龙女在师傅的帮助下打败了王聪儿。经过了一系列的事情后，皇上决定赐婚小龙女和福东。张槐便怔住。　　影片讲述的是一个有关家庭与爱的故事。17岁的森宫优子（永野芽郁饰）是高三学生，母亲在优子还小的时候便去世了，之后优子被不断寄养，有过3任父亲和2任母亲（石原里美饰演继母），经历7次家庭形态变化，连名字都换过4次。与此同时，同时她也经历了从懵懂少年到独立女性的成长之苦。在没有血缘的亲情之间传递爱的接力棒，使她得到了最好的爱。For codes of the same length, theoretically, the further the coding distance between any two categories, the stronger the error correction capability. Therefore, when the code length is small, the theoretical optimal code can be calculated according to this principle. However, it is difficult to effectively determine the optimal code when the code length is slightly larger. In fact, this is an NP-hard problem. However, we usually do not need to obtain theoretical optimal codes, because non-optimal codes can often produce good enough classifiers in practice. On the other hand, it is not that the better the theoretical properties of coding, the better the classification performance, because the machine learning problem involves many factors, such as dismantling multiple classes into two "class subsets", and the difficulty of distinguishing the two class subsets formed by different dismantling methods is often different, that is, the difficulty of the two classification problems caused by them is different. Therefore, one theory has a good quality of error correction, but it leads to a difficult coding for the two-classification problem, which is worse than the other theory, but it leads to a simpler coding for the two-classification problem, and it is hard to say which is better or weaker in the final performance of the model.