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(3) Labor dispatch employment shall not be returned讲述楚逸、江北辰、夏天几位同学为拍古风短剧而发生的校园故事。初一新生贺翔一直梦想自己是个厉害的漂移车赛车手，可是生活中他却性格内向，缺乏自信，原来，他爸爸贺天佑严令禁止他接触任何与漂移竞技赛相关的东西，他心中一直很纠结。”在应战过程中险些被对方的赛车撞下山崖，危急关头，贺翔挺身而出……身在果阿邦的三位年轻好友计划到一栋老别墅里寻鬼。一个新的家庭搬进来后，这座旧宅中埋藏的过往以惊悚的方式再度浮现。　　一位自称友梨的女性说：「我希望我和我的两个朋友犯下的三起谋杀案能成为一部小说。第一起事件发生在35年前的昭和大区，一名高中女生发生了两起谋杀案。十年后，他们20多岁，仍然分享着秘密，他们策划了更可怕的谋杀计划...。可这树枝桠少，他担心睡着了掉下树去，因此也不敢睡沉了。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.