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摇滚明星的私生子、曾在阿富汗失去了一条腿的退伍军人科莫兰·斯特莱克（Cormoran Strike），如今开了一家破破烂烂的侦探事务所。大学心理学肄业的罗宾·艾拉科特（Robin Ellacott）偶然来到这间事务所做临时雇员，一下子就喜欢上了这份工作。独腿侦探和能干的 助手配合默契，开始解决一桩桩疑点重重的案件……　　然而接踵而来的状况，却不再是她们所能承担。Although she often suggests others to sign the marital property agreement, she did not sign it herself.这样一个人，也是诸皇子早都密切关注的。让他不由自主的心动，甚至难以自拔。踏进巨木和井作为记号的这个地方的人精神病偏离常轨，奇怪的死…。有能力的祈祷师尝试驱魔也无法与之抗衡，噩梦一直持续着。他们能从“圣地X”发生的各种惨剧中逃脱，从扎根于令人讨厌的土地上的“被约定的死亡”中解放出来吗…。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.