就算有什么事，还有你爹呢，哪轮到你们插嘴？你们听是听，大热天的，别跟着添乱。
为民，为僧，为君，风云叱咤多幻变；夺妻，夺权，夺位，一代帝王朱元璋！古装武侠剧集《大明英烈传》描述明太祖朱元璋一生充满传奇性的事迹。故事对人性在权力名利冲击下的转变，刻画细致，戏味浓郁，其中有至死不渝的爱情；因爱成恨的畸恋。深宫喋血，争权夺位，情节诡秘出奇，动人心魄，配合精彩的武打，着着扣人心弦。朱元璋自幼孤贫，入寺为僧，见元朝民不聊生，投军郭子兴，以期建功立业。旋对子兴养女马秀英，仍不忘天兰。
We can use the-R option to modify the rules in the specified chain. When modifying the rules, we can specify the corresponding number of the rules (pit, careful line). The example command is as follows
Composite Reuse Principle (CRP) is to use some existing objects in a new object to make it part of the new object. New objects reuse used functions by delegating to these objects. In short, it is necessary to use synthesis/aggregation as much as possible and not inheritance as much as possible.
Will is desperate to make a good impression with the College of Heralds so that he can finally get a coat of arms. Befriending a dashing African prince by the name of Otello may provide Will with the means to climb the social ladder.
Support the registration of mobile phone users in more than 100 countries around the world.
本剧从另一个侧面反映出一君侠肝义胆，乐于助人的普通老百姓，不向恶势力低头，视国家安危为己任，团结互助共渡难关。他们虽生活清贫，性格迥异，但都善恶分明，一身正气。每个人都有一段催人泪下的故事；每个人都用不同的方式奉献爱心。电视剧把人与人之间最美好的真实情感带回到你的面前，让你的心灵将再次被碰撞，你会充分体会到真情的所在。
Based on the BIM model of the industry plan. The information model provides spatial location data, which can be adjusted at any time through collision inspection to achieve the purpose of rapid optimization. Collision detection is automatically completed by BIM system, and detection reports are listed in real time to avoid manual inspection omission. Compared with traditional CAD methods, collision detection has higher efficiency and accuracy.
第二天，周夫子和黄夫子等几位夫子，亲去医学院见秦枫。
在和美丽吸血鬼遭遇的春假之后，主人公阿良良木历迎来新学期，从新学期的第1个月开始到大学入学考试为止，这1年间每个月所经历的故事。
The brain has unlimited adaptability//055
洪霖想要求娶我的女儿，他找过我，我拒绝了，难道皇上下旨硬逼我答应？这不成了强抢民女了。
本剧改编自松尾从捡到一张机票开始波澜万丈的“演员之道”。
李玉娘赶忙和尹旭分开，这样亲昵的接触被父亲看见，何况还与许负在，不由的有些害羞，俏脸之上已经多了一层淡淡的绯红。
Football is called "the world's first sport". Football games were once popular in ancient Greece, Rome and China.
沈悯芮淡然叹道，说好的，最后一段路，一起走吧。
Public void operator ();
From the defender's point of view, this type of attack has proved (so far) to be very problematic, because we do not have effective methods to defend against this type of attack. Fundamentally speaking, we do not have an effective way for DNN to produce good output for all inputs. It is very difficult for them to do so, because DNN performs nonlinear/nonconvex optimization in a very large space, and we have not taught them to learn generalized high-level representations. You can read Ian and Nicolas's in-depth articles (http://www.cleverhans.io/security/privacy/ml/2017/02/15/why-attaching-machine-learning-is-easier-than-defending-it.html) to learn more about this.
