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公主真是生气了，她忍无可忍了。曾经有人做过统计，现代社会每天就有78传说消失，有说因现代父母越来越忙，没时间跟小朋友说故事，亦有说因现代人已不再相信传说，更加不相信传说中的英雄曾经存在过。但不理世人相不相信，无论传说消失的速度有多快，有关马小玲、况天佑等人的传说，依然会永远流传下去，因为他们不单止真真实实的存在过，还曾在这世界留下欢笑，留下眼泪，更留下了一段段令人难以忘记的动人故事……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.Now use code to describe this scene. First, define a Light class. It can be predicted that the light object light will be created from the Light class. The light object will have two attributes. State will be used to record the current state of the light and button will be used to represent the specific switch button.Disadvantages: There are a little more node objects in the responsibility chain mode. It is possible that most nodes do not play a substantial role in a certain request process. Their role is only to make