class Proxy(object):  def __init__(self, subject):    self.__subject = subject  # 代理其實本質上就是屬性的委托  def __getattr__(self, name):    return getattr(self.__subject, name)class RGB:  def __init__(self, red, green, blue):    self.__red = red    self.__green = green    self.__blue = blue  def Red(self):    return self.__red  def Green(self):    return self.__green  def Blue(self):    return self.__blueclass NoBlueProxy(Proxy):  # 我在這個子代理類攔截了blue的訪問，這樣就不會返回被代理的類的Blue屬性  def Blue(self):    return 0if __name__ == '__main__':  rgb = RGB(100, 192, 240)  print rgb.Red()  proxy = Proxy(rgb)  print proxy.Green()  noblue = NoBlueProxy(rgb)  print noblue.Green()  print noblue.Blue()

# 整個例子我們要根據不同需求處理的內容ingredients = "spam eggs apple"line = '-' * 10# 這是被模板方法調用的基礎函數def iter_elements(getter, action):  """循環處理的骨架"""  # getter是要迭代的數據，action是要執行的函數  for element in getter():    action(element)    print(line)def rev_elements(getter, action):  """反向的"""  for element in getter()[::-1]:    action(element)    print(line)# 數據經過函數處理就是我們最后傳給模板的內容def get_list():  return ingredients.split()# 同上def get_lists():  return [list(x) for x in ingredients.split()]# 對數據的操作def print_item(item):  print(item)#反向處理數據def reverse_item(item):  print(item[::-1])# 模板函數def make_template(skeleton, getter, action):  # 它抽象的傳入了 骨架，數據，和子類的操作函數  def template():    skeleton(getter, action)  return template# 列表解析，數據就是前面的2種骨架(定義怎么樣迭代)，2個分割數據的函數，正反向打印數據的組合templates = [make_template(s, g, a)      for g in (get_list, get_lists)      for a in (print_item, reverse_item)      for s in (iter_elements, rev_elements)]# 執行for template in templates:  template()