梦想家健康 发表于 2019-8-29 16:48:26

047讲课后练一练

本帖最后由 梦想家健康 于 2019-8-29 22:58 编辑


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
像这个题里面已经重新定义insert(用这个方法当例子)等方法,那么为什么关于self.count的操作还能直接用insert?这样不会无限迭代吗?



松_HWI3H 发表于 2019-8-29 18:53:11

把题目发出来呀

梦想家健康 发表于 2019-8-29 22:59:49

0. 根据课堂上的例子,定制一个列表,同样要求记录列表中每个元素被访问的次数。这一次我们希望定制的列表功能更加全面一些,比如支持 append()、pop()、extend() 原生列表所拥有的方法。你应该如何修改呢?

要求1:实现获取、设置和删除一个元素的行为(删除一个元素的时候对应的计数器也会被删除)@M>X{^
要求2:增加 counter(index) 方法,返回 index 参数所指定的元素记录的访问次数C]A}*
要求3:实现 append()、pop()、remove()、insert()、clear() 和 reverse() 方法(重写这些方法的时候注意考虑计数器的对应改变).

梦想家健康 发表于 2019-8-29 23:43:29

这是参考代码
class CountList(list):
    def __init__(self, *args):
      super().__init__(args)
      self.count = []
      for i in args:
            self.count.append(0)

    def __len__(self):
      return len(self.count)

    def __getitem__(self, key):
      self.count += 1
      return super().__getitem__(key)

    def __setitem__(self, key, value):
      self.count += 1
      super().__setitem__(key, value)

    def __delitem__(self, key):
      del self.count
      super().__delitem__(key)

    def counter(self, key):
      return self.count

    def append(self, value):
      self.count.append(0)
      super().append(value)

    def pop(self, key=-1):
      del self.count
      return super().pop(key)

    def remove(self, value):
      key = super().index(value)
      del self.count
      super().remove(value)

    def insert(self, key, value):
      self.count.insert(key, 0)
      super().insert(key, value)

    def clear(self):
      self.count.clear()
      super().clear()

    def reverse(self):
      self.count.reverse()
      super().reverse()

zylenw97 发表于 2020-4-6 11:24:31

我的理解是self.insert它是一个列表,是属于list类的,所以可以直接使用list类的insert方法
好像时间有点久了,我也刚开始学。。。楼主我的想法对吗

chenmo0202 发表于 2020-9-19 14:19:57

我的理解是:重写的insert方法针对的是Countlist的实例对象本身(也就是self);而self.count.insert其实是调用了列表本身的方法,针对的是self.count这个列表。
另外我对这道题的理解就是,新创建的类只负责对自身属性self.count进行修改,其余的操作都交给父类list去完成(super().__..._)
仅仅是我个人的看法,我也是刚学不久,如果有错误欢迎指出,一起讨论。{:10_254:}
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