对着堂上的人骂道：我日你祖宗。
西楚国就更不用说，虽说追杀尹旭所部是项羽的意思，可若率军明火执仗进入西楚国追击……若是传出去，诸侯少不得呀指着项羽包庇纵容。
不论以前跟泥鳅的种种过往，眼下，她真切感受到：这才是陪伴她一生的良人。
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根据1989年同名喜剧改编，讲述加州州长Zack Morris因为把太多低收入高中关门而陷入水深火热的地步，故此他决定把受到影响的学生都送到加州最好的学校 – Bayside高中。
Soul: Diregi's Phantom Pearl
蒯彻甚至有些不能容忍他的存在。
In real life, when people want to use something, their first reaction is to find it. For example, they want to drink fresh orange juice. In the days when there is no drink shop, the most intuitive way is to buy a blender, oranges and then prepare boiled water. It is worth noting that these are all the processes of your own "initiative" creation, that is to say, a glass of orange juice needs to be created by yourself.
周夫子点点头，又问他对疫病的看法，可能拟出有效的方子和措施等。
Brother, what should I do with this? Now position 6 is a critical strike, and there is no tiger with the main attribute critical strike or explosive injury.
殊不知尹将军岂会善罢甘休，无动于衷，何况还有邓陵墨的人暗中保护，单是尹旭身边还有一位美女保镖。
总有一些措手不及的事情发生，但也总有一颗治愈的种子在人们心中生根发芽。
故事说富豪顺总因为爱车爱美女而投资了一部名为《爱车族的故事》的电视剧，并由此引出三大时尚美女《汽车栏目》栏目女主播冯可可、《都市时尚栏》目的女主播胡紫和时尚达人黄美丽等。
At present, there is no firewall that can protect DNS server attacks, only a few professional protection equipment can do it.
该喜剧讲述了一名超级派遣秘书如何深入利欲交错的公司企业.Super派遣秘书将拯救日本！四处寻求命运中的男人而流浪于各个企业的加贺见优，是个完全没有男人运，没有男朋友的独身女秘书。但是，她的正体是，连哭泣的孩子都会停止哭泣的正义的伙伴·Super派遣秘书！比起公司来说爱人更为重要的无用社长！？喜欢骚扰人的大叔级员工！？同为女人却没有仁义的战斗！？接触现代日本的病巢，将卷入金钱和欲望中的会社统统消灭痛快地娱乐连续剧即将登场！
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.
