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在python中使用有序的dict作为对象字典

[英]Using an ordered dict as object dictionary in python

I don't know why this doesn't work: 我不知道为什么这不起作用:

I'm using the odict class from PEP 372 , but I want to use it as a __dict__ member, ie: 我正在使用PEP 372中odict类,但我想将它用作__dict__成员,即:

class Bag(object):
    def __init__(self):
        self.__dict__ = odict()

But for some reason I'm getting weird results. 但由于某种原因,我得到了奇怪的结果。 This works: 这有效:

>>> b = Bag()
>>> b.apple = 1
>>> b.apple
1
>>> b.banana = 2
>>> b.banana
2

But trying to access the actual dictionary doesn't work: 但是尝试访问实际的字典不起作用:

>>> b.__dict__.items()
[]
>>> b.__dict__
odict.odict([])

And it gets weirder: 它变得更奇怪了:

>>> b.__dict__['tomato'] = 3
>>> b.tomato
3
>>> b.__dict__
odict.odict([('tomato', 3)])

I'm feeling very stupid. 我感觉非常愚蠢。 Can you help me out? 你能帮我吗?

The closest answer to your question that I can find is at http://mail.python.org/pipermail/python-bugs-list/2006-April/033155.html . 我能找到的最接近你问题的答案是http://mail.python.org/pipermail/python-bugs-list/2006-April/033155.html

Basically, if __dict__ is not an actual dict() , then it is ignored, and attribute lookup fails. 基本上,如果__dict__不是实际的dict() ,则忽略它,并且属性查找失败。

The alternative for this is to use the odict as a member, and override the getitem and setitem methods accordingly. 另一种方法是使用odict作为成员,并相应地覆盖getitem和setitem方法。

>>> class A(object) :
...     def __init__(self) :
...             self.__dict__['_odict'] = odict()
...     def __getattr__(self, value) :
...             return self.__dict__['_odict'][value]
...     def __setattr__(self, key, value) :
...             self.__dict__['_odict'][key] = value
... 
>>> a = A()
>>> a
<__main__.A object at 0xb7bce34c>
>>> a.x = 1
>>> a.x
1
>>> a.y = 2
>>> a.y
2
>>> a.odict
odict.odict([('x', 1), ('y', 2)])

Everything in sykora's answer is correct. sykora答案中的所有内容都是正确的。 Here's an updated solution with the following improvements: 这是一个更新的解决方案,具有以下改进:

  1. works even in the special case of accessing a.__dict__ directly 即使在直接访问a.__dict__的特殊情况下也能正常工作
  2. supports copy.copy() 支持copy.copy()
  3. supports the == and != operators 支持==!=运算符
  4. uses collections.OrderedDict from Python 2.7. 使用Python 2.7中的collections.OrderedDict

... ...

from collections import OrderedDict

class OrderedNamespace(object):
    def __init__(self):
        super(OrderedNamespace, self).__setattr__( '_odict', OrderedDict() )

    def __getattr__(self, key):
        odict = super(OrderedNamespace, self).__getattribute__('_odict')
        if key in odict:
            return odict[key]
        return super(OrderedNamespace, self).__getattribute__(key)

    def __setattr__(self, key, val):
        self._odict[key] = val

    @property
    def __dict__(self):
        return self._odict

    def __setstate__(self, state): # Support copy.copy
        super(OrderedNamespace, self).__setattr__( '_odict', OrderedDict() )
        self._odict.update( state )

    def __eq__(self, other):
        return self.__dict__ == other.__dict__

    def __ne__(self, other):
        return not self.__eq__(other)

If you're looking for a library with attribute access to OrderedDict, the orderedattrdict package provides this. 如果您正在寻找具有OrderedDict属性访问权限的库,那么orderedattrdict包就可以提供。

>>> from orderedattrdict import AttrDict
>>> conf = AttrDict()
>>> conf['z'] = 1
>>> assert conf.z == 1
>>> conf.y = 2
>>> assert conf['y'] == 2
>>> conf.x = 3
>>> assert conf.keys() == ['z', 'y', 'x']

Disclosure: I authored this library. 披露:我撰写了这个图书馆。 Thought it might help future searchers. 认为它可能有助于未来的搜索者。

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