mirror of
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cb73bdac95
The rational is the change might cause imcompatiblity problems with PyYAML. In addition, Raymond wants to kept the different versions of collections synchronized across Python versions.
557 lines
21 KiB
Python
557 lines
21 KiB
Python
__all__ = ['Counter', 'deque', 'defaultdict', 'namedtuple', 'OrderedDict']
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# For bootstrapping reasons, the collection ABCs are defined in _abcoll.py.
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# They should however be considered an integral part of collections.py.
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from _abcoll import *
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import _abcoll
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__all__ += _abcoll.__all__
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from _collections import deque, defaultdict
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from operator import itemgetter as _itemgetter, eq as _eq
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from keyword import iskeyword as _iskeyword
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import sys as _sys
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import heapq as _heapq
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from weakref import proxy as _proxy
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from itertools import repeat as _repeat, chain as _chain, starmap as _starmap, \
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ifilter as _ifilter, imap as _imap, izip as _izip
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################################################################################
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### OrderedDict
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################################################################################
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class _Link(object):
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__slots__ = 'prev', 'next', 'key', '__weakref__'
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class OrderedDict(dict, MutableMapping):
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'Dictionary that remembers insertion order'
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# An inherited dict maps keys to values.
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# The inherited dict provides __getitem__, __len__, __contains__, and get.
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# The remaining methods are order-aware.
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# Big-O running times for all methods are the same as for regular dictionaries.
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# The internal self.__map dictionary maps keys to links in a doubly linked list.
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# The circular doubly linked list starts and ends with a sentinel element.
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# The sentinel element never gets deleted (this simplifies the algorithm).
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# The prev/next links are weakref proxies (to prevent circular references).
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# Individual links are kept alive by the hard reference in self.__map.
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# Those hard references disappear when a key is deleted from an OrderedDict.
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def __init__(self, *args, **kwds):
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'''Initialize an ordered dictionary. Signature is the same as for
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regular dictionaries, but keyword arguments are not recommended
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because their insertion order is arbitrary.
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'''
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if len(args) > 1:
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raise TypeError('expected at most 1 arguments, got %d' % len(args))
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try:
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self.__root
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except AttributeError:
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self.__root = root = _Link() # sentinel node for the doubly linked list
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root.prev = root.next = root
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self.__map = {}
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self.update(*args, **kwds)
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def clear(self):
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'od.clear() -> None. Remove all items from od.'
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root = self.__root
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root.prev = root.next = root
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self.__map.clear()
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dict.clear(self)
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def __setitem__(self, key, value):
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'od.__setitem__(i, y) <==> od[i]=y'
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# Setting a new item creates a new link which goes at the end of the linked
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# list, and the inherited dictionary is updated with the new key/value pair.
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if key not in self:
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self.__map[key] = link = _Link()
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root = self.__root
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last = root.prev
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link.prev, link.next, link.key = last, root, key
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last.next = root.prev = _proxy(link)
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dict.__setitem__(self, key, value)
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def __delitem__(self, key):
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'od.__delitem__(y) <==> del od[y]'
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# Deleting an existing item uses self.__map to find the link which is
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# then removed by updating the links in the predecessor and successor nodes.
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dict.__delitem__(self, key)
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link = self.__map.pop(key)
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link.prev.next = link.next
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link.next.prev = link.prev
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def __iter__(self):
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'od.__iter__() <==> iter(od)'
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# Traverse the linked list in order.
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root = self.__root
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curr = root.next
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while curr is not root:
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yield curr.key
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curr = curr.next
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def __reversed__(self):
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'od.__reversed__() <==> reversed(od)'
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# Traverse the linked list in reverse order.
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root = self.__root
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curr = root.prev
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while curr is not root:
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yield curr.key
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curr = curr.prev
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def __reduce__(self):
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'Return state information for pickling'
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items = [[k, self[k]] for k in self]
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tmp = self.__map, self.__root
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del self.__map, self.__root
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inst_dict = vars(self).copy()
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self.__map, self.__root = tmp
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if inst_dict:
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return (self.__class__, (items,), inst_dict)
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return self.__class__, (items,)
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setdefault = MutableMapping.setdefault
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update = MutableMapping.update
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pop = MutableMapping.pop
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keys = MutableMapping.keys
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values = MutableMapping.values
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items = MutableMapping.items
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iterkeys = MutableMapping.iterkeys
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itervalues = MutableMapping.itervalues
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iteritems = MutableMapping.iteritems
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__ne__ = MutableMapping.__ne__
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def popitem(self, last=True):
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'''od.popitem() -> (k, v), return and remove a (key, value) pair.
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Pairs are returned in LIFO order if last is true or FIFO order if false.
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'''
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if not self:
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raise KeyError('dictionary is empty')
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key = next(reversed(self) if last else iter(self))
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value = self.pop(key)
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return key, value
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def __repr__(self):
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'od.__repr__() <==> repr(od)'
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if not self:
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return '%s()' % (self.__class__.__name__,)
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return '%s(%r)' % (self.__class__.__name__, self.items())
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def copy(self):
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'od.copy() -> a shallow copy of od'
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return self.__class__(self)
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@classmethod
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def fromkeys(cls, iterable, value=None):
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'''OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S
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and values equal to v (which defaults to None).
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'''
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d = cls()
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for key in iterable:
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d[key] = value
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return d
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def __eq__(self, other):
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'''od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive
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while comparison to a regular mapping is order-insensitive.
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'''
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if isinstance(other, OrderedDict):
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return len(self)==len(other) and \
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all(_imap(_eq, self.iteritems(), other.iteritems()))
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return dict.__eq__(self, other)
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################################################################################
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### namedtuple
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################################################################################
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def namedtuple(typename, field_names, verbose=False, rename=False):
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"""Returns a new subclass of tuple with named fields.
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>>> Point = namedtuple('Point', 'x y')
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>>> Point.__doc__ # docstring for the new class
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'Point(x, y)'
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>>> p = Point(11, y=22) # instantiate with positional args or keywords
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>>> p[0] + p[1] # indexable like a plain tuple
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33
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>>> x, y = p # unpack like a regular tuple
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>>> x, y
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(11, 22)
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>>> p.x + p.y # fields also accessable by name
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33
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>>> d = p._asdict() # convert to a dictionary
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>>> d['x']
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11
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>>> Point(**d) # convert from a dictionary
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Point(x=11, y=22)
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>>> p._replace(x=100) # _replace() is like str.replace() but targets named fields
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Point(x=100, y=22)
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"""
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# Parse and validate the field names. Validation serves two purposes,
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# generating informative error messages and preventing template injection attacks.
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if isinstance(field_names, basestring):
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field_names = field_names.replace(',', ' ').split() # names separated by whitespace and/or commas
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field_names = tuple(map(str, field_names))
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if rename:
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names = list(field_names)
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seen = set()
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for i, name in enumerate(names):
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if (not all(c.isalnum() or c=='_' for c in name) or _iskeyword(name)
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or not name or name[0].isdigit() or name.startswith('_')
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or name in seen):
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names[i] = '_%d' % i
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seen.add(name)
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field_names = tuple(names)
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for name in (typename,) + field_names:
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if not all(c.isalnum() or c=='_' for c in name):
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raise ValueError('Type names and field names can only contain alphanumeric characters and underscores: %r' % name)
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if _iskeyword(name):
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raise ValueError('Type names and field names cannot be a keyword: %r' % name)
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if name[0].isdigit():
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raise ValueError('Type names and field names cannot start with a number: %r' % name)
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seen_names = set()
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for name in field_names:
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if name.startswith('_') and not rename:
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raise ValueError('Field names cannot start with an underscore: %r' % name)
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if name in seen_names:
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raise ValueError('Encountered duplicate field name: %r' % name)
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seen_names.add(name)
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# Create and fill-in the class template
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numfields = len(field_names)
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argtxt = repr(field_names).replace("'", "")[1:-1] # tuple repr without parens or quotes
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reprtxt = ', '.join('%s=%%r' % name for name in field_names)
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template = '''class %(typename)s(tuple):
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'%(typename)s(%(argtxt)s)' \n
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__slots__ = () \n
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_fields = %(field_names)r \n
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def __new__(_cls, %(argtxt)s):
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return _tuple.__new__(_cls, (%(argtxt)s)) \n
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@classmethod
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def _make(cls, iterable, new=tuple.__new__, len=len):
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'Make a new %(typename)s object from a sequence or iterable'
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result = new(cls, iterable)
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if len(result) != %(numfields)d:
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raise TypeError('Expected %(numfields)d arguments, got %%d' %% len(result))
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return result \n
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def __repr__(self):
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return '%(typename)s(%(reprtxt)s)' %% self \n
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def _asdict(self):
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'Return a new OrderedDict which maps field names to their values'
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return OrderedDict(zip(self._fields, self)) \n
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def _replace(_self, **kwds):
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'Return a new %(typename)s object replacing specified fields with new values'
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result = _self._make(map(kwds.pop, %(field_names)r, _self))
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if kwds:
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raise ValueError('Got unexpected field names: %%r' %% kwds.keys())
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return result \n
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def __getnewargs__(self):
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return tuple(self) \n\n''' % locals()
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for i, name in enumerate(field_names):
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template += ' %s = _property(_itemgetter(%d))\n' % (name, i)
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if verbose:
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print template
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# Execute the template string in a temporary namespace and
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# support tracing utilities by setting a value for frame.f_globals['__name__']
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namespace = dict(_itemgetter=_itemgetter, __name__='namedtuple_%s' % typename,
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OrderedDict=OrderedDict, _property=property, _tuple=tuple)
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try:
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exec template in namespace
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except SyntaxError, e:
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raise SyntaxError(e.message + ':\n' + template)
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result = namespace[typename]
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# For pickling to work, the __module__ variable needs to be set to the frame
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# where the named tuple is created. Bypass this step in enviroments where
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# sys._getframe is not defined (Jython for example) or sys._getframe is not
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# defined for arguments greater than 0 (IronPython).
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try:
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result.__module__ = _sys._getframe(1).f_globals.get('__name__', '__main__')
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except (AttributeError, ValueError):
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pass
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return result
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########################################################################
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### Counter
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########################################################################
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class Counter(dict):
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'''Dict subclass for counting hashable items. Sometimes called a bag
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or multiset. Elements are stored as dictionary keys and their counts
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are stored as dictionary values.
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>>> c = Counter('abracadabra') # count elements from a string
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>>> c.most_common(3) # three most common elements
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[('a', 5), ('r', 2), ('b', 2)]
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>>> sorted(c) # list all unique elements
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['a', 'b', 'c', 'd', 'r']
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>>> ''.join(sorted(c.elements())) # list elements with repetitions
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'aaaaabbcdrr'
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>>> sum(c.values()) # total of all counts
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11
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>>> c['a'] # count of letter 'a'
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5
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>>> for elem in 'shazam': # update counts from an iterable
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... c[elem] += 1 # by adding 1 to each element's count
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>>> c['a'] # now there are seven 'a'
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7
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>>> del c['r'] # remove all 'r'
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>>> c['r'] # now there are zero 'r'
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0
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>>> d = Counter('simsalabim') # make another counter
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>>> c.update(d) # add in the second counter
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>>> c['a'] # now there are nine 'a'
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9
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>>> c.clear() # empty the counter
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>>> c
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Counter()
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Note: If a count is set to zero or reduced to zero, it will remain
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in the counter until the entry is deleted or the counter is cleared:
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>>> c = Counter('aaabbc')
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>>> c['b'] -= 2 # reduce the count of 'b' by two
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>>> c.most_common() # 'b' is still in, but its count is zero
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[('a', 3), ('c', 1), ('b', 0)]
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'''
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# References:
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# http://en.wikipedia.org/wiki/Multiset
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# http://www.gnu.org/software/smalltalk/manual-base/html_node/Bag.html
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# http://www.demo2s.com/Tutorial/Cpp/0380__set-multiset/Catalog0380__set-multiset.htm
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# http://code.activestate.com/recipes/259174/
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# Knuth, TAOCP Vol. II section 4.6.3
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def __init__(self, iterable=None, **kwds):
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'''Create a new, empty Counter object. And if given, count elements
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from an input iterable. Or, initialize the count from another mapping
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of elements to their counts.
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>>> c = Counter() # a new, empty counter
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>>> c = Counter('gallahad') # a new counter from an iterable
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>>> c = Counter({'a': 4, 'b': 2}) # a new counter from a mapping
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>>> c = Counter(a=4, b=2) # a new counter from keyword args
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'''
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self.update(iterable, **kwds)
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def __missing__(self, key):
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'The count of elements not in the Counter is zero.'
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# Needed so that self[missing_item] does not raise KeyError
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return 0
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def most_common(self, n=None):
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'''List the n most common elements and their counts from the most
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common to the least. If n is None, then list all element counts.
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>>> Counter('abracadabra').most_common(3)
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[('a', 5), ('r', 2), ('b', 2)]
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'''
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# Emulate Bag.sortedByCount from Smalltalk
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if n is None:
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return sorted(self.iteritems(), key=_itemgetter(1), reverse=True)
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return _heapq.nlargest(n, self.iteritems(), key=_itemgetter(1))
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def elements(self):
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'''Iterator over elements repeating each as many times as its count.
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>>> c = Counter('ABCABC')
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>>> sorted(c.elements())
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['A', 'A', 'B', 'B', 'C', 'C']
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# Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1
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>>> prime_factors = Counter({2: 2, 3: 3, 17: 1})
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>>> product = 1
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>>> for factor in prime_factors.elements(): # loop over factors
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... product *= factor # and multiply them
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>>> product
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1836
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Note, if an element's count has been set to zero or is a negative
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number, elements() will ignore it.
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'''
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# Emulate Bag.do from Smalltalk and Multiset.begin from C++.
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return _chain.from_iterable(_starmap(_repeat, self.iteritems()))
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# Override dict methods where necessary
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@classmethod
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def fromkeys(cls, iterable, v=None):
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# There is no equivalent method for counters because setting v=1
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# means that no element can have a count greater than one.
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raise NotImplementedError(
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'Counter.fromkeys() is undefined. Use Counter(iterable) instead.')
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def update(self, iterable=None, **kwds):
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'''Like dict.update() but add counts instead of replacing them.
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Source can be an iterable, a dictionary, or another Counter instance.
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>>> c = Counter('which')
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>>> c.update('witch') # add elements from another iterable
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>>> d = Counter('watch')
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>>> c.update(d) # add elements from another counter
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>>> c['h'] # four 'h' in which, witch, and watch
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4
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'''
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# The regular dict.update() operation makes no sense here because the
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# replace behavior results in the some of original untouched counts
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# being mixed-in with all of the other counts for a mismash that
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# doesn't have a straight-forward interpretation in most counting
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# contexts. Instead, we implement straight-addition. Both the inputs
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# and outputs are allowed to contain zero and negative counts.
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if iterable is not None:
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if isinstance(iterable, Mapping):
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if self:
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for elem, count in iterable.iteritems():
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self[elem] += count
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else:
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dict.update(self, iterable) # fast path when counter is empty
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else:
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for elem in iterable:
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self[elem] += 1
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if kwds:
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self.update(kwds)
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def copy(self):
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'Like dict.copy() but returns a Counter instance instead of a dict.'
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return Counter(self)
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def __delitem__(self, elem):
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'Like dict.__delitem__() but does not raise KeyError for missing values.'
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if elem in self:
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dict.__delitem__(self, elem)
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def __repr__(self):
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if not self:
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return '%s()' % self.__class__.__name__
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items = ', '.join(map('%r: %r'.__mod__, self.most_common()))
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return '%s({%s})' % (self.__class__.__name__, items)
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# Multiset-style mathematical operations discussed in:
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# Knuth TAOCP Volume II section 4.6.3 exercise 19
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# and at http://en.wikipedia.org/wiki/Multiset
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#
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# Outputs guaranteed to only include positive counts.
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#
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# To strip negative and zero counts, add-in an empty counter:
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# c += Counter()
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def __add__(self, other):
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'''Add counts from two counters.
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>>> Counter('abbb') + Counter('bcc')
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Counter({'b': 4, 'c': 2, 'a': 1})
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'''
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if not isinstance(other, Counter):
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return NotImplemented
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result = Counter()
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for elem in set(self) | set(other):
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newcount = self[elem] + other[elem]
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if newcount > 0:
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result[elem] = newcount
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return result
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def __sub__(self, other):
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''' Subtract count, but keep only results with positive counts.
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>>> Counter('abbbc') - Counter('bccd')
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Counter({'b': 2, 'a': 1})
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'''
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if not isinstance(other, Counter):
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return NotImplemented
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result = Counter()
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for elem in set(self) | set(other):
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newcount = self[elem] - other[elem]
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if newcount > 0:
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result[elem] = newcount
|
|
return result
|
|
|
|
def __or__(self, other):
|
|
'''Union is the maximum of value in either of the input counters.
|
|
|
|
>>> Counter('abbb') | Counter('bcc')
|
|
Counter({'b': 3, 'c': 2, 'a': 1})
|
|
|
|
'''
|
|
if not isinstance(other, Counter):
|
|
return NotImplemented
|
|
result = Counter()
|
|
for elem in set(self) | set(other):
|
|
p, q = self[elem], other[elem]
|
|
newcount = q if p < q else p
|
|
if newcount > 0:
|
|
result[elem] = newcount
|
|
return result
|
|
|
|
def __and__(self, other):
|
|
''' Intersection is the minimum of corresponding counts.
|
|
|
|
>>> Counter('abbb') & Counter('bcc')
|
|
Counter({'b': 1})
|
|
|
|
'''
|
|
if not isinstance(other, Counter):
|
|
return NotImplemented
|
|
result = Counter()
|
|
if len(self) < len(other):
|
|
self, other = other, self
|
|
for elem in _ifilter(self.__contains__, other):
|
|
p, q = self[elem], other[elem]
|
|
newcount = p if p < q else q
|
|
if newcount > 0:
|
|
result[elem] = newcount
|
|
return result
|
|
|
|
|
|
if __name__ == '__main__':
|
|
# verify that instances can be pickled
|
|
from cPickle import loads, dumps
|
|
Point = namedtuple('Point', 'x, y', True)
|
|
p = Point(x=10, y=20)
|
|
assert p == loads(dumps(p))
|
|
|
|
# test and demonstrate ability to override methods
|
|
class Point(namedtuple('Point', 'x y')):
|
|
__slots__ = ()
|
|
@property
|
|
def hypot(self):
|
|
return (self.x ** 2 + self.y ** 2) ** 0.5
|
|
def __str__(self):
|
|
return 'Point: x=%6.3f y=%6.3f hypot=%6.3f' % (self.x, self.y, self.hypot)
|
|
|
|
for p in Point(3, 4), Point(14, 5/7.):
|
|
print p
|
|
|
|
class Point(namedtuple('Point', 'x y')):
|
|
'Point class with optimized _make() and _replace() without error-checking'
|
|
__slots__ = ()
|
|
_make = classmethod(tuple.__new__)
|
|
def _replace(self, _map=map, **kwds):
|
|
return self._make(_map(kwds.get, ('x', 'y'), self))
|
|
|
|
print Point(11, 22)._replace(x=100)
|
|
|
|
Point3D = namedtuple('Point3D', Point._fields + ('z',))
|
|
print Point3D.__doc__
|
|
|
|
import doctest
|
|
TestResults = namedtuple('TestResults', 'failed attempted')
|
|
print TestResults(*doctest.testmod())
|