Nic*_*ing 21 python dictionary ordereddictionary python-2.7 python-internals
由于OrderedDict具有列表(具有有序元素)和字典(使用键而不是索引)的特征,因此使用键切片似乎很自然.
>>> from collections import OrderedDict
>>> cities = OrderedDict((('san francisco', 650), ('new york', 212), ('shanghai', 8621), ('barcelona', 42423)))
>>> test['shanghai':] # I want all the cities from shanghai to the end of the list
TypeError: unhashable type
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有趣的是,由于OrderedDictionary.__getslice__没有实施,这不是你看到的错误.我尝试添加自己的__getslice__方法OrderedDict,但我一直遇到这个TypeError问题.似乎Python正在进行某种类型检查以强制切片键只是整数,在它们传递给__getslice__函数之前,是多少unpythonic!
>>> class BetterOrderedDict(OrderedDict):
def __getslice__(self, start=None, end=None, step=1):
return 'potato'
>>> test = BetterOrderedDict((('one', 1), ('two', 2), ('three', 3), ('four', 4)))
>>> print test[1:4]
'potato' # ok this makes sense so far
>>> test['one':'four']
TypeError: unhashable type # WTF, strings are hashable!
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所以我的问题是,为什么我不能实现非int切片,什么样的类型检查阻止切片键甚至到达我的__getslice__函数,我可以通过BetterOrderedDict在C中使用绑定来实现我的覆盖吗?
zch*_*zch 22
__getslice__是不推荐的实现切片的方式.相反,你应该处理slice对象__getitem__:
from collections import OrderedDict
class SlicableDict(OrderedDict):
def __getitem__(self, key):
if isinstance(key, slice):
return 'potato({},{},{})'.format(key.start, key.stop, key.step)
return super(SlicableDict, self).__getitem__(key)
>>> s = SlicableDict(a=1, b=2, c=3)
>>> s
SlicableDict([('a', 1), ('c', 3), ('b', 2)])
>>> s['a']
1
>>> s['a':'c']
'potato(a,c,None)'
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如果您需要的不仅仅是土豆,那么您可以按照以下方式实施所有三种切片操作:
def _key_slice_to_index_slice(items, key_slice):
try:
if key_slice.start is None:
start = None
else:
start = next(idx for idx, (key, value) in enumerate(items)
if key == key_slice.start)
if key_slice.stop is None:
stop = None
else:
stop = next(idx for idx, (key, value) in enumerate(items)
if key == key_slice.stop)
except StopIteration:
raise KeyError
return slice(start, stop, key_slice.step)
class SlicableDict(OrderedDict):
def __getitem__(self, key):
if isinstance(key, slice):
items = self.items()
index_slice = _key_slice_to_index_slice(items, key)
return SlicableDict(items[index_slice])
return super(SlicableDict, self).__getitem__(key)
def __setitem__(self, key, value):
if isinstance(key, slice):
items = self.items()
index_slice = _key_slice_to_index_slice(items, key)
items[index_slice] = value.items()
self.clear()
self.update(items)
return
return super(SlicableDict, self).__setitem__(key, value)
def __delitem__(self, key):
if isinstance(key, slice):
items = self.items()
index_slice = _key_slice_to_index_slice(items, key)
del items[index_slice]
self.clear()
self.update(items)
return
return super(SlicableDict, self).__delitem__(key)
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the*_*eye 12
这是您期望的切片功能的实际实现.
OrderedDict内部以双向链表的形式维护密钥的顺序.引用Python 2.7.9中的实际注释,
# The internal self.__map dict maps keys to links in a doubly linked list.
# The circular doubly linked list starts and ends with a sentinel element.
# The sentinel element never gets deleted (this simplifies the algorithm).
# Each link is stored as a list of length three: [PREV, NEXT, KEY].
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现在,为了对字典进行切片,我们需要迭代双向链表__root,这实际上是一个私有变量,受名称修改机制的保护.
注意:这涉及使用OrderedDict内部数据结构的hacky名称unmangling .
from collections import OrderedDict
class SlicableDict(OrderedDict):
def __getitem__(self, key):
if isinstance(key, slice):
# Unmangle `__root` to access the doubly linked list
root = getattr(self, "_OrderedDict__root")
# By default, make `start` as the first element, `end` as the last
start, end = root[1][2], root[0][2]
start = key.start or start
end = key.stop or end
step = key.step or 1
curr, result, begun, counter = root[1], [], False, 0
# Begin iterating
curr, result, begun = root[1], [], False
while curr is not root:
# If the end value is reached, `break` and `return`
if curr[2] == end:
break
# If starting value is matched, start appending to `result`
if curr[2] == start:
begun = True
if begun:
if counter % step == 0:
result.append((curr[2], self[curr[2]]))
counter += 1
# Make the `curr` point to the next element
curr = curr[1]
return result
return super(SlicableDict, self).__getitem__(key)
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几个样本运行:
>>> s = SlicableDict(a=1, b=2, c=3, d=4)
>>> s
SlicableDict([('a', 1), ('c', 3), ('b', 2), ('e', 5), ('d', 4), ('f', 6)])
>>> s['a':'c']
[('a', 1)]
>>> s['a':]
[('a', 1), ('c', 3), ('b', 2), ('e', 5), ('d', 4)]
>>> s[:'a']
[]
>>> s['a':'f':2]
[('a', 1), ('b', 2), ('d', 4)]
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