为什么我不能在 python3 中子类化元组? [英] Why can't I subclass tuple in python3?
问题描述
让我们先说这个问题,你应该使用 __new__
代替 __init__
用于子类化不可变对象.
Let's preface this question by saying that you should use __new__
instead of __init__
for subclassing immutable objects.
话虽如此,让我们看看以下代码:
With that being said, let's see the following code:
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:
This works in python2, but in python3 I get:
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?python3有什么变化?
Why does this happen? What changed in python3?
推荐答案
Python 3 改变了 object.__new__
和 object.__init__
在被覆盖时对参数的反应方式.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,这会产生 DeprecationWarning(默认情况下被禁止).
Python 3 changed how object.__new__
and object.__init__
react to arguments when both are overridden. If a class overrides (or inherits methods that override) both object.__init__
and object.__new__
, object.__init__
and object.__new__
will throw an exception if they receive any excess arguments. In Python 2, that would have given a DeprecationWarning (suppressed by default).
tuple
没有自己的 __init__
.它继承了 object.__init__
,因此您实际上是将一堆参数传递给 object.__init__
,而 object.__init__
不接受这些参数.Python 2 给你一个(被抑制的)警告,而 Python 3 使它成为一个错误.
tuple
doesn't have its own __init__
. It inherits object.__init__
, so you're actually passing a bunch of arguments to object.__init__
that object.__init__
doesn't take. Python 2 was giving you a (suppressed) warning, and Python 3 is making it an error.
代码有一个注释很好地解释了 object.__init__
和 object.__new__
对额外参数的微妙处理:
The code has a comment that does a good job of explaining object.__init__
and object.__new__
's subtle handling of extra arguments:
/* 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.
*/
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