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【源码共读】Python 标准模块 collections 中 OrderedDict 类详解

作者:互联网

文章目录

1. 简介

OrderedDictdict 的子类,一方面这意味着 OrderedDict 支持几乎所有 dict 类的操作和语法,另一方面正如其名字所暗示的一样,OrderedDict 会记录键值对插入的顺序。

2. 使用

2.1 相等检查

实际上,一般而言 OrderedDict 的使用和 dict 别无二致,只是因为前者会记录键值对插入的顺序,所以二者在同类型对象是否相等的比较上会有不同,即在使用 == 进行相等性判断时,对于两个 dict 的对象,只要二者中键值对数量相同且相同的键所对应的值相同,则 == 的结果即为 True ,但对于 OrderedDict 来说,要想 == 判断返回结果为 True ,除了两个对象键值对数量相同且相同的键对应的值相同外,二者中键值对的顺序也必须一致。

import collections

print('dict :', end=' ')
d1 = {'a': 'A', 'b': 'B', 'c': 'C'}
d2 = {'c': 'C', 'b': 'B', 'a': 'A'}

print(d1 == d2)

print('OrderedDict:', end=' ')
d1 = collections.OrderedDict()
d1['a'] = 'A'
d1['b'] = 'B'
d1['c'] = 'C'
d2 = collections.OrderedDict()
d2['c'] = 'C'
d2['b'] = 'B'
d2['a'] = 'A'

print(d1 == d2)

上述代码的输出结果为:

dict : True
OrderedDict: False

2.2 顺序重排

通过使用 OrderedDict 对象的 move_to_end() 方法,可以改变对象中键值对的顺序,使得某个键值对移动至序列的开头或者末尾。

from collections import OrderedDict

d = OrderedDict(
    [('a', 'A'), ('b', 'B'), ('c', 'C')]
)

print('Before:')
for k, v in d.items():
    print(k, v)

d.move_to_end('b')
print('\nmove_to_end():')
for k, v in d.items():
    print(k, v)

d.move_to_end('b', last=False)
print('\nmove_to_end(last=False):')
for k, v in d.items():
    print(k, v)

上述代码的输出结果为:

Before:
a A
b B
c C

move_to_end():
a A
c C
b B

move_to_end(last=False):
b B
a A
c C

在上述示例代码中,方法 move_to_end() 的参数 last 用来表示是将 OrderedDict 对象中的元素移动至对象的开头(last=False)还是末尾(last=True),默认移动至末尾即 last=True

3. 分析

################################################################################
### OrderedDict
################################################################################

class _OrderedDictKeysView(_collections_abc.KeysView):

    def __reversed__(self):
        yield from reversed(self._mapping)

class _OrderedDictItemsView(_collections_abc.ItemsView):

    def __reversed__(self):
        for key in reversed(self._mapping):
            yield (key, self._mapping[key])

class _OrderedDictValuesView(_collections_abc.ValuesView):

    def __reversed__(self):
        for key in reversed(self._mapping):
            yield self._mapping[key]

class _Link(object):
    __slots__ = 'prev', 'next', 'key', '__weakref__'

class OrderedDict(dict):
    '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 regular dictionaries.

    # 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).
    # The sentinel is in self.__hardroot with a weakref proxy in self.__root.
    # The prev 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, other=(), /, **kwds):
        '''Initialize an ordered dictionary.  The signature is the same as
        regular dictionaries.  Keyword argument order is preserved.
        '''
        try:
            self.__root
        except AttributeError:
            self.__hardroot = _Link()
            self.__root = root = _proxy(self.__hardroot)
            root.prev = root.next = root
            self.__map = {}
        self.__update(other, **kwds)

    def __setitem__(self, key, value,
                    dict_setitem=dict.__setitem__, proxy=_proxy, Link=_Link):
        '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:
            self.__map[key] = link = Link()
            root = self.__root
            last = root.prev
            link.prev, link.next, link.key = last, root, key
            last.next = link
            root.prev = proxy(link)
        dict_setitem(self, key, value)

    def __delitem__(self, key, dict_delitem=dict.__delitem__):
        'od.__delitem__(y) <==> del od[y]'
        # Deleting an existing item uses self.__map to find the link which gets
        # removed by updating the links in the predecessor and successor nodes.
        dict_delitem(self, key)
        link = self.__map.pop(key)
        link_prev = link.prev
        link_next = link.next
        link_prev.next = link_next
        link_next.prev = link_prev
        link.prev = None
        link.next = None

    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 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 popitem(self, last=True):
        '''Remove and return a (key, value) pair from the dictionary.

        Pairs are returned in LIFO order if last is true or FIFO order if false.
        '''
        if not self:
            raise KeyError('dictionary is empty')
        root = self.__root
        if last:
            link = root.prev
            link_prev = link.prev
            link_prev.next = root
            root.prev = link_prev
        else:
            link = root.next
            link_next = link.next
            root.next = link_next
            link_next.prev = root
        key = link.key
        del self.__map[key]
        value = dict.pop(self, key)
        return key, value

    def move_to_end(self, key, last=True):
        '''Move an existing element to the end (or beginning if last is false).

        Raise KeyError if the element does not exist.
        '''
        link = self.__map[key]
        link_prev = link.prev
        link_next = link.next
        soft_link = link_next.prev
        link_prev.next = link_next
        link_next.prev = link_prev
        root = self.__root
        if last:
            last = root.prev
            link.prev = last
            link.next = root
            root.prev = soft_link
            last.next = link
        else:
            first = root.next
            link.prev = root
            link.next = first
            first.prev = soft_link
            root.next = link

    def __sizeof__(self):
        sizeof = _sys.getsizeof
        n = len(self) + 1                       # number of links including root
        size = sizeof(self.__dict__)            # instance dictionary
        size += sizeof(self.__map) * 2          # internal dict and inherited dict
        size += sizeof(self.__hardroot) * n     # link objects
        size += sizeof(self.__root) * n         # proxy objects
        return size

    update = __update = _collections_abc.MutableMapping.update

    def keys(self):
        "D.keys() -> a set-like object providing a view on D's keys"
        return _OrderedDictKeysView(self)

    def items(self):
        "D.items() -> a set-like object providing a view on D's items"
        return _OrderedDictItemsView(self)

    def values(self):
        "D.values() -> an object providing a view on D's values"
        return _OrderedDictValuesView(self)

    __ne__ = _collections_abc.MutableMapping.__ne__

    __marker = object()

    def pop(self, key, default=__marker):
        '''od.pop(k[,d]) -> v, remove specified key and return the corresponding
        value.  If key is not found, d is returned if given, otherwise KeyError
        is raised.

        '''
        if key in self:
            result = self[key]
            del self[key]
            return result
        if default is self.__marker:
            raise KeyError(key)
        return default

    def setdefault(self, key, default=None):
        '''Insert key with a value of default if key is not in the dictionary.

        Return the value for key if key is in the dictionary, else default.
        '''
        if key in self:
            return self[key]
        self[key] = default
        return default

    @_recursive_repr()
    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 __reduce__(self):
        'Return state information for pickling'
        inst_dict = vars(self).copy()
        for k in vars(OrderedDict()):
            inst_dict.pop(k, None)
        return self.__class__, (), inst_dict or None, None, iter(self.items())

    def copy(self):
        'od.copy() -> a shallow copy of od'
        return self.__class__(self)

    @classmethod
    def fromkeys(cls, iterable, value=None):
        '''Create a new ordered dictionary with keys from iterable and values set to value.
        '''
        self = cls()
        for key in iterable:
            self[key] = value
        return self

    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 dict.__eq__(self, other) and all(map(_eq, self, other))
        return dict.__eq__(self, other)

标签:__,.__,OrderedDict,Python,self,源码,link,key,root
来源: https://blog.csdn.net/weixin_37780776/article/details/122395651