Python 为什么覆盖包含中断OrderedDict.keys?
我将OrderedDict(Cpython,2.7.3)子类化以表示数据文件Python 为什么覆盖包含中断OrderedDict.keys?,python,python-2.7,Python,Python 2.7,我将OrderedDict(Cpython,2.7.3)子类化以表示数据文件\uuuu getitem\uuuu从数据文件中提取一个字段,并在当前实例上设置它,类似于我在下面发布的代码。现在,如果字段在字典中或磁盘上的文件中,我想重写\uuuu contains\uu以返回True,因为它可以以任何方式读取。然而,这似乎破坏了OrderedDict检查其密钥的能力 from collections import OrderedDict dictclass = OrderedDict clas
\uuuu getitem\uuuu
从数据文件中提取一个字段,并在当前实例上设置它,类似于我在下面发布的代码。现在,如果字段在字典中或磁盘上的文件中,我想重写\uuuu contains\uu
以返回True
,因为它可以以任何方式读取。然而,这似乎破坏了OrderedDict
检查其密钥的能力
from collections import OrderedDict
dictclass = OrderedDict
class Foo(dictclass):
def __getitem__(self,key):
try:
return dictclass.__getitem__(self,key)
except KeyError:
pass
data = key*2
self[key] = data
return data
def __contains__(self,whatever):
return dictclass.__contains__(self,whatever) or 'bar' in whatever
a = Foo()
print a['bar']
print a.keys()
如果运行上述代码,您将获得以下输出:
barbar
[]
请注意,如果在上述代码中更改dictclass=dict
,它似乎仍然有效(给出以下输出)
我做错了什么吗?当
Foo.\uuu包含\uuuu
未定义时:
a['bar']
调用Foo.\uuuu getitem\uuuu
,执行
self[key] = data
这将调用OrderedDict.\uuuu setitem\uuuuu
,其定义如下:
def __setitem__(self, key, value, PREV=0, NEXT=1, dict_setitem=dict.__setitem__):
'od.__setitem__(i, y) <==> od[i]=y'
# Setting a new item creates a new link at the end of the linked list,
# and the inherited dictionary is updated with the new key/value pair.
if key not in self:
root = self.__root
last = root[PREV]
last[NEXT] = root[PREV] = self.__map[key] = [last, root, key]
dict_setitem(self, key, value)
这是真的。因此,该键被正确地添加到self.\uu root
和self.\uu map
当定义了
Foo.\uuuu包含\uuu
时
if key not in self:
如果是假的。因此,该键未正确添加到self.\uu root
和self.\uu map
。
Foo.\uuuuu包含有效的傻瓜OrderedDict.\uuuu设置项\uuuuu
认为'bar'
键已经添加
我发现使用以下代码很有帮助(在\uuuuuu setitem\uuuuuuu
和\uuuuuuu iter\uuuuuuu
中添加打印语句):
产生
a = Foo()
print a['bar']
# barbar
print a.keys()
# ['bar']
即使定义了\uuuu包含
。破坏代码的是或中的“bar”。如果您删除它,它将与您提到的更改dictclass=dict
一样工作
\uuuu setitem\uuuu
实现的orderedict
是:
def __setitem__(self, key, value, dict_setitem=dict.__setitem__):
'od.__setitem__(i, y) <==> od[i]=y'
# Setting a new item creates a new link at the end of the linked list,
# and the inherited dictionary is updated with the new key/value pair.
if key not in self:
root = self.__root
last = root[0]
last[1] = root[0] = self.__map[key] = [last, root, key]
return dict_setitem(self, key, value)
由于用于检索值的代码使用此迭代器和self.\u root
不包含“bar”
,这个具体的键无法在值中返回。我正在阅读,但我仍然很难弄清楚这一点……我正在这样做,我想你的问题在哪里:看看\uuuuuuuuuu setitem\uuuuuu
和\uuuuuuuu iter\uuuuuuuuuuuu
@a.Rodas--是的,这就是我在找的地方。也许我太累了,但我很难把所有的逻辑都理顺。谢谢。就是这样--我花了太多时间关注于self.\uuu root
以及它是如何初始化的--思考--self.\uuuu root=root=[];root[:]=[root,root,None]
发生了什么事???:XMy解决问题的方法非常低俗——它通常由许多打印语句组成。:)是的,就是这样。谢谢+1.当然,在我的代码中,
中的或“bar”是更复杂的东西,我不想删除。我认为要使它正常工作,对OrderedDict进行黑客攻击太困难了。我想我只是将一个常规dict子类化,并保留一个单独的\uu order
列表。@mgilson:也许让Foo
拥有-aOrderedDict
,而不是be-aOrderedDict
?@unutbu--我希望它是一个映射类型,这样我就可以将其解包。。。我可以自己跟踪订单。@mgilson:是的,我想你可以通过将Foo
作为集合的子类来实现。可变映射
,但将\uu getitem\uuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuuu。OrderedDict
行为将保持原始状态,而您可以在\uuu getitem\uuuuu
和\uuu包含
@mgilson中做自己的事情:如果您子类化可变映射
,则至少必须重写\uu getitem\uuuuuuu
,\uuuuuu setitem\uuuuuuu
,,\uuuu len\uuuu
和\uu包含
。
from collections import OrderedDict
dictclass = OrderedDict
class Foo(dictclass):
def __getitem__(self,key):
try:
return dictclass.__getitem__(self,key)
except KeyError:
pass
data = key*2
self[key] = data
return data
def __contains__(self,whatever):
print('contains: {}'.format(whatever))
return dictclass.__contains__(self,whatever) or 'bar' in whatever
def __setitem__(self, key, value, PREV=0, NEXT=1, dict_setitem=dict.__setitem__):
'od.__setitem__(i, y) <==> od[i]=y'
# Setting a new item creates a new link at the end of the linked list,
# and the inherited dictionary is updated with the new key/value pair.
print('key not in self: {}'.format(key not in self))
if key not in self:
root = self._OrderedDict__root
last = root[PREV]
last[NEXT] = root[PREV] = self._OrderedDict__map[key] = [last, root, key]
dict_setitem(self, key, value)
def __iter__(self):
'od.__iter__() <==> iter(od)'
# Traverse the linked list in order.
NEXT, KEY = 1, 2
root = self._OrderedDict__root
curr = root[NEXT]
print('curr: {}'.format(curr))
print('root: {}'.format(root))
print('curr is not root: {}'.format(curr is not root))
while curr is not root:
yield curr[KEY]
curr = curr[NEXT]
a = Foo()
print a['bar']
# barbar
print a.keys()
# ['bar']
import collections
dictclass = collections.OrderedDict
class Foo(collections.MutableMapping):
def __init__(self, *args, **kwargs):
self._data = dictclass(*args, **kwargs)
def __setitem__(self, key, value):
self._data[key] = value
def __delitem__(self, key):
del self._data[key]
def __iter__(self):
return iter(self._data)
def __len__(self):
return len(self._data)
def __getitem__(self,key):
try:
return self._data[key]
except KeyError:
pass
data = key*2
self[key] = data
return data
def __contains__(self,whatever):
return dictclass.__contains__(self,whatever) or 'bar' in whatever
a = Foo()
print a['bar']
# barbar
print a.keys()
# ['bar']
def __setitem__(self, key, value, dict_setitem=dict.__setitem__):
'od.__setitem__(i, y) <==> od[i]=y'
# Setting a new item creates a new link at the end of the linked list,
# and the inherited dictionary is updated with the new key/value pair.
if key not in self:
root = self.__root
last = root[0]
last[1] = root[0] = self.__map[key] = [last, root, key]
return dict_setitem(self, key, value)
def __iter__(self):
'od.__iter__() <==> iter(od)'
# Traverse the linked list in order.
root = self.__root
curr = root[1] # start at the first node
while curr is not root:
yield curr[2] # yield the curr[KEY]
curr = curr[1] # move to next node