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张杨沉吟一会，说就请陈家养父母进来。咱们弟兄，说老实话。雍正年间，候补四品典仪凌柱之女怜儿为父请命结识十七王爷胤礼，二人两情依依，本要结为夫妇，没想到胤礼为救老师阿灵阿，不得已娶了阿灵阿之女嘉嘉为妻，伤心欲绝的怜儿在深宫里步步为营，渴望能走出深宫过平凡的日子，不想却被宫中各股势力所利用，李为要跟她结盟，大太监苏培盛要向她报恩，亲如姐妹的玉漱出卖她，表面和谐的深宫里埋藏着各种秘密，就在怜儿快喘不过气时，她意外地被雍正看中，成为了万千宠爱于一身的熹妃，而就在这时，她忽然发现所有的事情一下子都变复杂了，停下来就会被迫害，走下去可能连自己也不认识自己了，在三岔路口，她选择了相信阳光，相信暴风雨总会过去的，于是在她坚忍不拔的努力下，终于为自己闯出了一片天。十几位狼兵劫后余生，先是骂，再是感激。　　最终玝爷无罪释放，海澄因此丢了官职。急于报国的奕玝爷目睹慈禧凌驾于光绪之上，发誓要助皇帝亲政。光绪命玝爷送字画给南方的康梁，虽有世铎破坏，终不辱使命。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.