让我们先说you should use __new__
instead of __init__
for subclassing immutable objects。
话虽如此,让我们看看以下代码:
class MyTuple(tuple):
def __init__(self, *args):
super(MyTuple, self).__init__(*args)
mytuple = MyTuple([1,2,3])
这适用于python2,但在python3中我得到:
Traceback (most recent call last):
File "tmp.py", line 5, in <module>
mytuple = MyTuple([1,2,3])
File "tmp.py", line 3, in __init__
super(MyTuple, self).__init__(*args)
TypeError: object.__init__() takes no parameters
为什么会这样?在python3中有什么变化?
答案 0 :(得分:5)
Python 3改变了object.__new__
和object.__init__
在重写两者时对参数的反应。如果一个类覆盖(或继承覆盖的方法)object.__init__
和object.__new__
,object.__init__
和object.__new__
如果收到任何多余的参数,将抛出异常。在Python 2中,这将给出DeprecationWarning(默认情况下被禁止)。
tuple
没有自己的__init__
。它继承了object.__init__
,因此您实际上将一堆参数传递给object.__init__
object.__init__
不会采用的object.__init__
。 Python 2给你一个(压制的)警告,而Python 3则是一个错误。
代码有一个注释,可以很好地解释object.__new__
和/* You may wonder why object.__new__() only complains about arguments
when object.__init__() is not overridden, and vice versa.
Consider the use cases:
1. When neither is overridden, we want to hear complaints about
excess (i.e., any) arguments, since their presence could
indicate there's a bug.
2. When defining an Immutable type, we are likely to override only
__new__(), since __init__() is called too late to initialize an
Immutable object. Since __new__() defines the signature for the
type, it would be a pain to have to override __init__() just to
stop it from complaining about excess arguments.
3. When defining a Mutable type, we are likely to override only
__init__(). So here the converse reasoning applies: we don't
want to have to override __new__() just to stop it from
complaining.
4. When __init__() is overridden, and the subclass __init__() calls
object.__init__(), the latter should complain about excess
arguments; ditto for __new__().
Use cases 2 and 3 make it unattractive to unconditionally check for
excess arguments. The best solution that addresses all four use
cases is as follows: __init__() complains about excess arguments
unless __new__() is overridden and __init__() is not overridden
(IOW, if __init__() is overridden or __new__() is not overridden);
symmetrically, __new__() complains about excess arguments unless
__init__() is overridden and __new__() is not overridden
(IOW, if __new__() is overridden or __init__() is not overridden).
However, for backwards compatibility, this breaks too much code.
Therefore, in 2.6, we'll *warn* about excess arguments when both
methods are overridden; for all other cases we'll use the above
rules.
*/
对额外参数的微妙处理:
angular.module('app').run(['$rootScope', function ($rootScope) {
$rootScope.$on('$stateChangeSuccess', function (event, toState, toParams, fromState, fromParams, error) {
//goes here your code to manage states and their respective labels
$rootScope.breadcrumbStates = [];
$rootScope.breadcrumbLabels = [];
$rootScope.breadcrumbStates.push(fromState.name);
$rootScope.breadcrumbStates.push(toState.name);
$rootScope.breadcrumbLabels.push(fromState.label);
$rootScope.breadcrumbLabels.push(toState.label);
}]);
答案 1 :(得分:1)
我一直在挖掘C代码库,但我还没有找到任何关于在python3中禁止此行为的改变的真实线索。我已经在python2.7,python3.3,python3.5和python3.6上测试过了。你的代码唯一没有异常的工作是在python2.7上。我还没有在文档中找到任何关于为什么会改变的引用,但我确实有一些想法......
首先,我们同意tuple.__init__
无法做任何事情,因为tuple
是不可变的。到调用__init__
时,元组已经被冻结。因此,这引出了我的猜测 - 因为tuple.__init__
什么也没做,开发人员认为它误导了它允许它接受任何论据。通过阻止基类接受参数,它们鼓励人们覆盖__new__
(因此,鼓励对不可变对象进行适当的继承)。