This question already has an answer here: Combine two python decorators into one 2 answers How to group decorators in Python 1 answer How to make a chain of function decorators? 15 answers def adminRoute(*route_args, **route_kwargs): def outer(action_function): @app.route(*route_args, **route_kwargs) @requiresAdmin @functools.wraps(action_function) def
这个问题在这里已经有了答案： 将两个python装饰器组合成一个2个答案 如何在Python中对装饰器进行分组1 如何创建一个函数装饰器链？ 15个答案 def adminRoute(*route_args, **route_kwargs): def outer(action_function): @app.route(*route_args, **route_kwargs) @requiresAdmin @functools.wraps(action_function) def inner(*f_args, **f_kwargs): return action_f
This question already has an answer here: How to make a chain of function decorators? 15 answers @memoize def fibonacci(n): ... Is the same thing as def fibonacci(n): ... fibonacci = memoize(fibonacci) See this stack overflow answer for a detailed explanation on how decorators work.
这个问题在这里已经有了答案： 如何创建一个函数装饰器链？ 15个答案 @memoize def fibonacci(n): ... 与之相同 def fibonacci(n): ... fibonacci = memoize(fibonacci) 有关装饰器如何工作的详细说明，请参阅此堆栈溢出答案。
This question already has an answer here: How to make a chain of function decorators? 15 answers It's probably a decorator see http://wiki.python.org/moin/PythonDecorators for more infos. It's like a "wrapper" for your function It's a decorator. More info - http://www.artima.com/weblogs/viewpost.jsp?thread=240808
这个问题在这里已经有了答案： 如何创建一个函数装饰器链？ 15个答案 这可能是一个装饰器，请参阅http://wiki.python.org/moin/PythonDecorators以获取更多信息。 这就像你的功能的“包装” 这是一个装饰者。 更多信息 - http://www.artima.com/weblogs/viewpost.jsp?thread=240808
Possible Duplicate: Understanding Python decorators Could you please give a short code example that explains decorators? def spam(func): def wrapped(*args, **kwargs): print "SPAM" return func(*args, **kwargs) return wrapped @spam #this is the same as doing eggs = spam(eggs) def eggs(): print "Eggs?" 注意你也可以使用类来编写装饰器class Spam(object): def __init
可能重复： 了解Python装饰器 您能否给出一个解释装饰器的简短代码示例？ def spam(func): def wrapped(*args, **kwargs): print "SPAM" return func(*args, **kwargs) return wrapped @spam #this is the same as doing eggs = spam(eggs) def eggs(): print "Eggs?" 注意你也可以使用类来编写装饰器class Spam(object): def __init__(self, func): self.func = func def __
Possible Duplicate: Understanding Python decorators Many documents online concern about the syntax of decorator. But I want to know where and how is the decorator used? Is the decorator just used to execute extra codes before and after the decorated function? Or maybe there is other usage? The decorator syntax is powerful: @decorator def foo(...): ... is equivalent to def foo(...)
可能重复： 了解Python装饰器 许多文档在线关注装饰器的语法。 但我想知道装饰者在哪里以及如何使用？ 修饰器是否仅用于在装饰函数之前和之后执行额外的代码？ 或者也许还有其他用法？ 装饰器语法很强大： @decorator def foo(...): ... 相当于 def foo(...): ... foo = decorator(foo) 这意味着装饰器基本上可以做任何事情 - 它们不必与装饰函数有任何关系！ 例子包括： 记忆一个递归函数（ functools.
This question already has an answer here: How to make a chain of function decorators? 15 answers Decorators are syntactic sugar for applying higher-order functions in Python. A higher-order function is a function that takes one or more functions as inputs and returns a function. ie h(x) = f(g(x)) where here f() is a higher-order function that takes a function of a single argument, g(x) ,
这个问题在这里已经有了答案： 如何创建一个函数装饰器链？ 15个答案 装饰器是用于在Python中应用高阶函数的语法糖。 高阶函数是将一个或多个函数作为输入并返回函数的函数。 即 h(x) = f(g(x)) 其中f()是一个高阶函数，它接受单个参数g(x)的函数，并返回单个参数h(x)的函数。 你可以将f()想象为修改g()的行为。 高阶函数是可组合的（按定义），所以在你的具体例子中，装饰器语法， @helloGalaxy @helloSolarSystem
Possible Duplicate: Understanding Python decorators What function does the "class decorator"/"method decorator" ( @ ) serve? In other words, what is the difference between this and a normal comment? Also, what does setter do when using @previousMethod.setter before a method? Thank you. @decorator def function(args): #body is just syntactic sugar for: def functio
可能重复： 了解Python装饰器 “类装饰器”/“方法装饰器”（ @ ）的功能是什么？ 换句话说，这和普通评论有什么区别？ 另外，在方法之前使用@previousMethod.setter setter时， setter做什么？ 谢谢。 @decorator def function(args): #body 只是语法糖： def function(args): #body function = decorator(function) 这就是它。 正如你看到的，装饰器被调用，所以它绝不是一个评论。
This question already has an answer here: How to make a chain of function decorators? 15 answers Why second sample does not works? Because you are calling the function on the return, you are not returning a function. Why args,kwargs are "magically" appears if we are using a nested function? They don't appear magically, we are declaring them, as in: def deco(*args, **kwar
这个问题在这里已经有了答案： 如何创建一个函数装饰器链？ 15个答案 为什么第二个样本不起作用？ 因为你正在调用返回函数，所以你没有返回函数。 为什么参数，如果我们使用嵌套函数，kwargs会“神奇地”出现？ 它们并不神奇，我们正在宣布它们，如下所示： def deco(*args, **kwargs): 这些是通用的，并且将匹配任何函数签名（参数列表）。 你不必称他们为args和kwargs ，这只是一个惯例，你可以称他们为sharon和tr
Possible Duplicate: Understanding Python decorators What does a Python decorator do? And where can I see the codes that are running when I add a decorator to a method? For example, when I add @login_required at the top of a method, does any code replace that line? How exactly does this line check the user session? when I add @login_required at the top of a method, does any code replace
可能重复： 了解Python装饰器 Python装饰器是做什么的？ 当我将一个装饰器添加到方法中时，我可以在哪里看到正在运行的代码？ 例如，当我在方法的顶部添加@login_required时，是否有任何代码替换该行？ 这条线究竟如何检查用户会话？ 当我在方法的顶部添加@login_required时，是否有任何代码替换该行？ 有点。 在你的视图函数之前添加@login_required与这样做的效果相同： def your_view_function(request): #
Possible Duplicate: Understanding Python decorators Just trying to "port" some Python code to Java, I came then across the following python code: @fake(lambda s, t, n: [(s.field(i+1), s) for i in range(n)]) def split(secret, threshold, num_players): shares = [] for i in range(1, num_players+1): # do some shares calculation return shares There are quite so
可能重复： 了解Python装饰器 试图将一些Python代码“移植”到Java中，然后跨越以下Python代码： @fake(lambda s, t, n: [(s.field(i+1), s) for i in range(n)]) def split(secret, threshold, num_players): shares = [] for i in range(1, num_players+1): # do some shares calculation return shares 这个中有很多有趣的构造，我从来没有注意过。 有谁能告诉我这个@fake thingy的交易是什么