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211. X.X.205When faced with large-scale attacks, it is even more important to resist attacks from the upstream.4. There is no infectious disease, and I and my family have no history of mental illness.上季结尾的火灾爆炸事件彻底改变了51号消防站，不仅消防员沉浸在深深的悲痛中，而且其中一些人受伤严重，可能影响了他们的正常工作能力。Boden不得不下令让消防站的全体成员重新振作起来，返回工作岗位。Severide一周内屡次玩失踪，Casey开始追踪他的去向。与此同时，Newhouse带来一些出人意料的消息，它们与Mills的一个亲戚有关。Herrmann和Otis对酒吧的发展做出新的决定。The second part of the classification is to find different points and expand each dimension into relevant contents. For example, ethnic groups can include Han, Hui, Gaoshan and so on. The principle here is MECE.这部电视剧主要讲的是耐安就是剧中的芳草和大刚之间的情感和冲突。芳草开始是去他们家当保姆，后来和大刚的爸爸产生了感情，最后成为了大刚的后妈，在这个过程中，有很多感人的情节，最令人感动的可能就是在历经许多事之后，大刚叫妈妈的时候。我很喜欢这部电视剧，耐安总是给人一种很善良、很舒服的感觉。大刚很有个性，虽然其中有抵触，有气人的时候，却又很懂事，像个小男子汉，长大了也会是个顶天立地的好男儿。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.