You are here: Home ‣ Dive Into Python 3 ‣
Difficulty level: ♦♦♦♦♢
❝ FIXME ❞
— FIXME
FIXME
[FIXME here's why ordered dicts are useful: http://www.gossamer-threads.com/lists/python/dev/656556 ]
class OrderedDict(dict, MutableMapping):
'Dictionary that remembers insertion order'
# An inherited dict maps keys to values.
# The inherited dict provides __getitem__, __len__, __contains__, and get.
# The remaining methods are order-aware.
# Big-O running times for all methods are the same as for regular dictionaries.
# The internal self.__map dictionary 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).
# The prev/next links are weakref proxies (to prevent circular references).
# Individual links are kept alive by the hard reference in self.__map.
# Those hard references disappear when a key is deleted from an OrderedDict.
def __init__(self, *args, **kwds):
'''Initialize an ordered dictionary. Signature is the same as for
regular dictionaries, but keyword arguments are not recommended
because their insertion order is arbitrary.
'''
if len(args) > 1:
raise TypeError('expected at most 1 arguments, got %d' % len(args))
try:
self.__root
except AttributeError:
self.__root = root = _Link() # sentinel node for the doubly linked list
root.prev = root.next = root
self.__map = {}
self.update(*args, **kwds)
def clear(self):
'od.clear() -> None. Remove all items from od.'
root = self.__root
root.prev = root.next = root
self.__map.clear()
dict.clear(self)
def __setitem__(self, key, value):
'od.__setitem__(i, y) <==> od[i]=y'
# Setting a new item creates a new link which goes at the end of the linked
# list, and the inherited dictionary is updated with the new key/value pair.
if key not in self:
self.__map[key] = link = _Link()
root = self.__root
last = root.prev
link.prev, link.next, link.key = last, root, key
last.next = root.prev = _proxy(link)
dict.__setitem__(self, key, value)
def __delitem__(self, key):
'od.__delitem__(y) <==> del od[y]'
# Deleting an existing item uses self.__map to find the link which is
# then removed by updating the links in the predecessor and successor nodes.
dict.__delitem__(self, key)
link = self.__map.pop(key)
link.prev.next = link.next
link.next.prev = link.prev
def __iter__(self):
'od.__iter__() <==> iter(od)'
# Traverse the linked list in order.
root = self.__root
curr = root.next
while curr is not root:
yield curr.key
curr = curr.next
def __reversed__(self):
'od.__reversed__() <==> reversed(od)'
# Traverse the linked list in reverse order.
root = self.__root
curr = root.prev
while curr is not root:
yield curr.key
curr = curr.prev
def __reduce__(self):
'Return state information for pickling'
items = [[k, self[k]] for k in self]
tmp = self.__map, self.__root
del self.__map, self.__root
inst_dict = vars(self).copy()
self.__map, self.__root = tmp
if inst_dict:
return (self.__class__, (items,), inst_dict)
return self.__class__, (items,)
setdefault = MutableMapping.setdefault
update = MutableMapping.update
pop = MutableMapping.pop
keys = MutableMapping.keys
values = MutableMapping.values
items = MutableMapping.items
def popitem(self, last=True):
'''od.popitem() -> (k, v), return and remove a (key, value) pair.
Pairs are returned in LIFO order if last is true or FIFO order if false.
'''
if not self:
raise KeyError('dictionary is empty')
key = next(reversed(self) if last else iter(self))
value = self.pop(key)
return key, value
def __repr__(self):
'od.__repr__() <==> repr(od)'
if not self:
return '%s()' % (self.__class__.__name__,)
return '%s(%r)' % (self.__class__.__name__, list(self.items()))
def copy(self):
'od.copy() -> a shallow copy of od'
return self.__class__(self)
@classmethod
def fromkeys(cls, iterable, value=None):
'''OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S
and values equal to v (which defaults to None).
'''
d = cls()
for key in iterable:
d[key] = value
return d
def __eq__(self, other):
'''od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive
while comparison to a regular mapping is order-insensitive.
'''
if isinstance(other, OrderedDict):
return len(self)==len(other) and \
all(p==q for p, q in zip(self.items(), other.items()))
return dict.__eq__(self, other)
def __ne__(self, other):
'''od.__ne__(y) <==> od!=y. Comparison to another OD is order-sensitive
while comparison to a regular mapping is order-insensitive.
'''
return not self == other
⁂
FIXME
>>> import ordereddict
>>> od = ordereddict.OrderedDict()
>>> klass = od.__class__ ①
>>> type(klass)
<class 'abc.ABCMeta'>
>>> klass.__name__
'OrderedDict'
>>> klass.__module__
'ordereddict'
>>> klass.__bases__
(<class 'dict'>, <class '_abcoll.MutableMapping'>)
# continued from previous example
>>> klass.__dict__
{'__abstractmethods__': frozenset(),
'__delitem__': <function __delitem__ at 0x00DCB6A8>,
'__dict__': <attribute '__dict__' of 'OrderedDict' objects>,
'__doc__': None,
'__eq__': <function __eq__ at 0x00DD2930>,
'__hash__': None,
'__init__': <function __init__ at 0x00DC41E0>,
'__iter__': <function __iter__ at 0x00DCB618>,
'__module__': 'ordereddict',
'__reduce__': <function __reduce__ at 0x00DCB6F0>,
'__repr__': <function __repr__ at 0x00DCB8E8>,
'__reversed__': <function __reversed__ at 0x00DCB660>,
'__setitem__': <function __setitem__ at 0x00DCB5D0>,
'__weakref__': <attribute '__weakref__' of 'OrderedDict' objects>,
'_abc_cache': <_weakrefset.WeakSet object at 0x00DCF950>,
'_abc_negative_cache': <_weakrefset.WeakSet object at 0x00DCF990>,
'_abc_negative_cache_version': 12,
'_abc_registry': <_weakrefset.WeakSet object at 0x00DCF910>,
'clear': <function clear at 0x00DCB7C8>,
'copy': <function copy at 0x00DD28A0>,
'fromkeys': <classmethod object at 0x00DCF8F0>,
'items': <function items at 0x00D60150>,
'keys': <function keys at 0x00D60108>,
'pop': <function pop at 0x00D60978>,
'popitem': <function popitem at 0x00DCB780>,
'setdefault': <function setdefault at 0x00D60A98>,
'update': <function update at 0x00D60A50>,
'values': <function values at 0x00D60198>}
⁂
© 2001–9 Mark Pilgrim