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NG4R3P
Linux 4gvps.4gvps.com 3.10.0-1127.18.2.vz7.163.46 #1 SMP Fri Nov 20 21:47:55 MSK 2020 x86_64
  SOFT : Apache PHP : 7.4.33
/lib64/python2.7/
38.135.39.45

 
[ NAME ] [ SIZE ] [ PERM ] [ DATE ] [ ACT ]
+FILE +DIR
Demo dir drwxr-xr-x 2024-10-16 01:16 R D
Doc dir drwxr-xr-x 2024-10-03 12:56 R D
Tools dir drwxr-xr-x 2024-10-16 01:16 R D
bsddb dir drwxr-xr-x 2024-10-16 01:16 R D
compiler dir drwxr-xr-x 2024-10-16 01:16 R D
config dir drwxr-xr-x 2024-10-16 01:16 R D
ctypes dir drwxr-xr-x 2024-10-16 01:16 R D
curses dir drwxr-xr-x 2024-10-16 01:16 R D
distutils dir drwxr-xr-x 2024-10-16 01:16 R D
email dir drwxr-xr-x 2024-10-16 01:16 R D
encodings dir drwxr-xr-x 2024-10-16 01:16 R D
hotshot dir drwxr-xr-x 2024-10-16 01:16 R D
idlelib dir drwxr-xr-x 2024-10-16 01:16 R D
importlib dir drwxr-xr-x 2024-10-16 01:16 R D
json dir drwxr-xr-x 2024-10-16 01:16 R D
lib-dynload dir drwxr-xr-x 2024-10-16 01:16 R D
lib-tk dir drwxr-xr-x 2024-10-16 01:16 R D
lib2to3 dir drwxr-xr-x 2024-10-16 01:16 R D
logging dir drwxr-xr-x 2024-10-16 01:16 R D
multiprocessing dir drwxr-xr-x 2024-10-16 01:16 R D
plat-linux2 dir drwxr-xr-x 2024-10-16 01:16 R D
pydoc_data dir drwxr-xr-x 2024-10-16 01:16 R D
site-packages dir drwxr-xr-x 2025-06-12 01:21 R D
sqlite3 dir drwxr-xr-x 2024-10-16 01:16 R D
test dir drwxr-xr-x 2024-10-16 01:16 R D
unittest dir drwxr-xr-x 2024-10-16 01:16 R D
wsgiref dir drwxr-xr-x 2024-10-16 01:16 R D
xml dir drwxr-xr-x 2024-10-16 01:16 R D
  BaseHTTPServer.py 21.935 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  BaseHTTPServer.pyc 21.181 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  BaseHTTPServer.pyo 21.181 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Bastion.py 5.609 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Bastion.pyc 6.504 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Bastion.pyo 6.504 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  CGIHTTPServer.py 12.844 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  CGIHTTPServer.pyc 10.845 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  CGIHTTPServer.pyo 10.845 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  ConfigParser.py 27.096 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  ConfigParser.pyc 24.622 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  ConfigParser.pyo 24.622 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Cookie.py 24.661 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Cookie.pyc 21.638 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Cookie.pyo 21.638 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  DocXMLRPCServer.py 10.516 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  DocXMLRPCServer.pyc 9.955 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  DocXMLRPCServer.pyo 9.849 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  HTMLParser.py 16.584 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  HTMLParser.pyc 13.395 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  HTMLParser.pyo 13.097 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  MimeWriter.py 6.33 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  MimeWriter.pyc 7.191 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  MimeWriter.pyo 7.191 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Queue.py 8.36 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Queue.pyc 9.188 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  Queue.pyo 9.188 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SimpleHTTPServer.py 7.248 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SimpleHTTPServer.pyc 7.55 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SimpleHTTPServer.pyo 7.55 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SimpleXMLRPCServer.py 25.165 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SimpleXMLRPCServer.pyc 22.31 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SimpleXMLRPCServer.pyo 22.31 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SocketServer.py 23.29 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SocketServer.pyc 23.488 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  SocketServer.pyo 23.488 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  StringIO.py 10.412 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  StringIO.pyc 11.211 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  StringIO.pyo 11.211 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserDict.py 5.675 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserDict.pyc 8.613 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserDict.pyo 8.613 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserList.py 3.559 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserList.pyc 6.423 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserList.pyo 6.423 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserString.py 9.461 KB -rwxr-xr-x 2024-10-03 12:56 R E G D
  UserString.pyc 14.516 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  UserString.pyo 14.516 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _LWPCookieJar.py 6.401 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _LWPCookieJar.pyc 5.404 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _LWPCookieJar.pyo 5.404 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _MozillaCookieJar.py 5.673 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _MozillaCookieJar.pyc 4.367 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _MozillaCookieJar.pyo 4.329 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  __future__.py 4.277 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  __future__.pyc 4.129 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  __future__.pyo 4.129 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  __phello__.foo.py 0.063 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  __phello__.foo.pyc 0.122 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  __phello__.foo.pyo 0.122 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _abcoll.py 17.446 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _abcoll.pyc 24.396 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _abcoll.pyo 24.396 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _osx_support.py 18.027 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _osx_support.pyc 11.28 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _osx_support.pyo 11.28 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _pyio.py 67.243 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _pyio.pyc 62.712 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _pyio.pyo 62.712 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _strptime.py 19.746 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _strptime.pyc 14.525 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _strptime.pyo 14.525 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _sysconfigdata.py 17.563 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _sysconfigdata.pyc 20.721 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _sysconfigdata.pyo 20.721 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _threading_local.py 7.281 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _threading_local.pyc 6.449 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _threading_local.pyo 6.449 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _weakrefset.py 5.476 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _weakrefset.pyc 9.255 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  _weakrefset.pyo 9.255 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  abc.py 6.978 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  abc.pyc 5.999 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  abc.pyo 5.944 KB -rw-r--r-- 2024-10-03 12:56 R E G D
  aifc.py 32.943 KB -rw-r--r-- 2024-10-03 12:56 R E G D
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REQUEST EXIT
__all__ = ['Counter', 'deque', 'defaultdict', 'namedtuple', 'OrderedDict'] # For bootstrapping reasons, the collection ABCs are defined in _abcoll.py. # They should however be considered an integral part of collections.py. from _abcoll import * import _abcoll __all__ += _abcoll.__all__ from _collections import deque, defaultdict from operator import itemgetter as _itemgetter, eq as _eq from keyword import iskeyword as _iskeyword import sys as _sys import heapq as _heapq from itertools import repeat as _repeat, chain as _chain, starmap as _starmap from itertools import imap as _imap try: from thread import get_ident as _get_ident except ImportError: from dummy_thread import get_ident as _get_ident ################################################################################ ### OrderedDict ################################################################################ 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). # Each link is stored as a list of length three: [PREV, NEXT, KEY]. def __init__(self, *args, **kwds): '''Initialize an ordered dictionary. The signature is the same as 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 = [] # sentinel node root[:] = [root, root, None] self.__map = {} self.__update(*args, **kwds) 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 __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_prev, link_next, _ = self.__map.pop(key) link_prev[1] = link_next # update link_prev[NEXT] link_next[0] = link_prev # update link_next[PREV] 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 def __reversed__(self): 'od.__reversed__() <==> reversed(od)' # Traverse the linked list in reverse order. root = self.__root curr = root[0] # start at the last node while curr is not root: yield curr[2] # yield the curr[KEY] curr = curr[0] # move to previous node def clear(self): 'od.clear() -> None. Remove all items from od.' root = self.__root root[:] = [root, root, None] self.__map.clear() dict.clear(self) # -- the following methods do not depend on the internal structure -- def keys(self): 'od.keys() -> list of keys in od' return list(self) def values(self): 'od.values() -> list of values in od' return [self[key] for key in self] def items(self): 'od.items() -> list of (key, value) pairs in od' return [(key, self[key]) for key in self] def iterkeys(self): 'od.iterkeys() -> an iterator over the keys in od' return iter(self) def itervalues(self): 'od.itervalues -> an iterator over the values in od' for k in self: yield self[k] def iteritems(self): 'od.iteritems -> an iterator over the (key, value) pairs in od' for k in self: yield (k, self[k]) update = MutableMapping.update __update = update # let subclasses override update without breaking __init__ __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): 'od.setdefault(k[,d]) -> od.get(k,d), also set od[k]=d if k not in od' if key in self: return self[key] self[key] = default return default 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, _repr_running={}): 'od.__repr__() <==> repr(od)' call_key = id(self), _get_ident() if call_key in _repr_running: return '...' _repr_running[call_key] = 1 try: if not self: return '%s()' % (self.__class__.__name__,) return '%s(%r)' % (self.__class__.__name__, self.items()) finally: del _repr_running[call_key] def __reduce__(self): 'Return state information for pickling' items = [[k, self[k]] for k in self] inst_dict = vars(self).copy() for k in vars(OrderedDict()): inst_dict.pop(k, None) if inst_dict: return (self.__class__, (items,), inst_dict) return self.__class__, (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. If not specified, the value defaults to None. ''' 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(_imap(_eq, self, other)) return dict.__eq__(self, other) def __ne__(self, other): 'od.__ne__(y) <==> od!=y' return not self == other # -- the following methods support python 3.x style dictionary views -- def viewkeys(self): "od.viewkeys() -> a set-like object providing a view on od's keys" return KeysView(self) def viewvalues(self): "od.viewvalues() -> an object providing a view on od's values" return ValuesView(self) def viewitems(self): "od.viewitems() -> a set-like object providing a view on od's items" return ItemsView(self) ################################################################################ ### namedtuple ################################################################################ _class_template = '''\ class {typename}(tuple): '{typename}({arg_list})' __slots__ = () _fields = {field_names!r} def __new__(_cls, {arg_list}): 'Create new instance of {typename}({arg_list})' return _tuple.__new__(_cls, ({arg_list})) @classmethod def _make(cls, iterable, new=tuple.__new__, len=len): 'Make a new {typename} object from a sequence or iterable' result = new(cls, iterable) if len(result) != {num_fields:d}: raise TypeError('Expected {num_fields:d} arguments, got %d' % len(result)) return result def __repr__(self): 'Return a nicely formatted representation string' return '{typename}({repr_fmt})' % self def _asdict(self): 'Return a new OrderedDict which maps field names to their values' return OrderedDict(zip(self._fields, self)) def _replace(_self, **kwds): 'Return a new {typename} object replacing specified fields with new values' result = _self._make(map(kwds.pop, {field_names!r}, _self)) if kwds: raise ValueError('Got unexpected field names: %r' % kwds.keys()) return result def __getnewargs__(self): 'Return self as a plain tuple. Used by copy and pickle.' return tuple(self) {field_defs} ''' _repr_template = '{name}=%r' _field_template = '''\ {name} = _property(_itemgetter({index:d}), doc='Alias for field number {index:d}') ''' def namedtuple(typename, field_names, verbose=False, rename=False): """Returns a new subclass of tuple with named fields. >>> Point = namedtuple('Point', ['x', 'y']) >>> Point.__doc__ # docstring for the new class 'Point(x, y)' >>> p = Point(11, y=22) # instantiate with positional args or keywords >>> p[0] + p[1] # indexable like a plain tuple 33 >>> x, y = p # unpack like a regular tuple >>> x, y (11, 22) >>> p.x + p.y # fields also accessable by name 33 >>> d = p._asdict() # convert to a dictionary >>> d['x'] 11 >>> Point(**d) # convert from a dictionary Point(x=11, y=22) >>> p._replace(x=100) # _replace() is like str.replace() but targets named fields Point(x=100, y=22) """ # Validate the field names. At the user's option, either generate an error # message or automatically replace the field name with a valid name. if isinstance(field_names, basestring): field_names = field_names.replace(',', ' ').split() field_names = map(str, field_names) if rename: seen = set() for index, name in enumerate(field_names): if (not all(c.isalnum() or c=='_' for c in name) or _iskeyword(name) or not name or name[0].isdigit() or name.startswith('_') or name in seen): field_names[index] = '_%d' % index seen.add(name) for name in [typename] + field_names: if not all(c.isalnum() or c=='_' for c in name): raise ValueError('Type names and field names can only contain ' 'alphanumeric characters and underscores: %r' % name) if _iskeyword(name): raise ValueError('Type names and field names cannot be a ' 'keyword: %r' % name) if name[0].isdigit(): raise ValueError('Type names and field names cannot start with ' 'a number: %r' % name) seen = set() for name in field_names: if name.startswith('_') and not rename: raise ValueError('Field names cannot start with an underscore: ' '%r' % name) if name in seen: raise ValueError('Encountered duplicate field name: %r' % name) seen.add(name) # Fill-in the class template class_definition = _class_template.format( typename = typename, field_names = tuple(field_names), num_fields = len(field_names), arg_list = repr(tuple(field_names)).replace("'", "")[1:-1], repr_fmt = ', '.join(_repr_template.format(name=name) for name in field_names), field_defs = '\n'.join(_field_template.format(index=index, name=name) for index, name in enumerate(field_names)) ) if verbose: print class_definition # Execute the template string in a temporary namespace and support # tracing utilities by setting a value for frame.f_globals['__name__'] namespace = dict(_itemgetter=_itemgetter, __name__='namedtuple_%s' % typename, OrderedDict=OrderedDict, _property=property, _tuple=tuple) try: exec class_definition in namespace except SyntaxError as e: raise SyntaxError(e.message + ':\n' + class_definition) result = namespace[typename] # For pickling to work, the __module__ variable needs to be set to the frame # where the named tuple is created. Bypass this step in enviroments where # sys._getframe is not defined (Jython for example) or sys._getframe is not # defined for arguments greater than 0 (IronPython). try: result.__module__ = _sys._getframe(1).f_globals.get('__name__', '__main__') except (AttributeError, ValueError): pass return result ######################################################################## ### Counter ######################################################################## class Counter(dict): '''Dict subclass for counting hashable items. Sometimes called a bag or multiset. Elements are stored as dictionary keys and their counts are stored as dictionary values. >>> c = Counter('abcdeabcdabcaba') # count elements from a string >>> c.most_common(3) # three most common elements [('a', 5), ('b', 4), ('c', 3)] >>> sorted(c) # list all unique elements ['a', 'b', 'c', 'd', 'e'] >>> ''.join(sorted(c.elements())) # list elements with repetitions 'aaaaabbbbcccdde' >>> sum(c.values()) # total of all counts 15 >>> c['a'] # count of letter 'a' 5 >>> for elem in 'shazam': # update counts from an iterable ... c[elem] += 1 # by adding 1 to each element's count >>> c['a'] # now there are seven 'a' 7 >>> del c['b'] # remove all 'b' >>> c['b'] # now there are zero 'b' 0 >>> d = Counter('simsalabim') # make another counter >>> c.update(d) # add in the second counter >>> c['a'] # now there are nine 'a' 9 >>> c.clear() # empty the counter >>> c Counter() Note: If a count is set to zero or reduced to zero, it will remain in the counter until the entry is deleted or the counter is cleared: >>> c = Counter('aaabbc') >>> c['b'] -= 2 # reduce the count of 'b' by two >>> c.most_common() # 'b' is still in, but its count is zero [('a', 3), ('c', 1), ('b', 0)] ''' # References: # http://en.wikipedia.org/wiki/Multiset # http://www.gnu.org/software/smalltalk/manual-base/html_node/Bag.html # http://www.demo2s.com/Tutorial/Cpp/0380__set-multiset/Catalog0380__set-multiset.htm # http://code.activestate.com/recipes/259174/ # Knuth, TAOCP Vol. II section 4.6.3 def __init__(self, iterable=None, **kwds): '''Create a new, empty Counter object. And if given, count elements from an input iterable. Or, initialize the count from another mapping of elements to their counts. >>> c = Counter() # a new, empty counter >>> c = Counter('gallahad') # a new counter from an iterable >>> c = Counter({'a': 4, 'b': 2}) # a new counter from a mapping >>> c = Counter(a=4, b=2) # a new counter from keyword args ''' super(Counter, self).__init__() self.update(iterable, **kwds) def __missing__(self, key): 'The count of elements not in the Counter is zero.' # Needed so that self[missing_item] does not raise KeyError return 0 def most_common(self, n=None): '''List the n most common elements and their counts from the most common to the least. If n is None, then list all element counts. >>> Counter('abcdeabcdabcaba').most_common(3) [('a', 5), ('b', 4), ('c', 3)] ''' # Emulate Bag.sortedByCount from Smalltalk if n is None: return sorted(self.iteritems(), key=_itemgetter(1), reverse=True) return _heapq.nlargest(n, self.iteritems(), key=_itemgetter(1)) def elements(self): '''Iterator over elements repeating each as many times as its count. >>> c = Counter('ABCABC') >>> sorted(c.elements()) ['A', 'A', 'B', 'B', 'C', 'C'] # Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1 >>> prime_factors = Counter({2: 2, 3: 3, 17: 1}) >>> product = 1 >>> for factor in prime_factors.elements(): # loop over factors ... product *= factor # and multiply them >>> product 1836 Note, if an element's count has been set to zero or is a negative number, elements() will ignore it. ''' # Emulate Bag.do from Smalltalk and Multiset.begin from C++. return _chain.from_iterable(_starmap(_repeat, self.iteritems())) # Override dict methods where necessary @classmethod def fromkeys(cls, iterable, v=None): # There is no equivalent method for counters because setting v=1 # means that no element can have a count greater than one. raise NotImplementedError( 'Counter.fromkeys() is undefined. Use Counter(iterable) instead.') def update(self, iterable=None, **kwds): '''Like dict.update() but add counts instead of replacing them. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.update('witch') # add elements from another iterable >>> d = Counter('watch') >>> c.update(d) # add elements from another counter >>> c['h'] # four 'h' in which, witch, and watch 4 ''' # The regular dict.update() operation makes no sense here because the # replace behavior results in the some of original untouched counts # being mixed-in with all of the other counts for a mismash that # doesn't have a straight-forward interpretation in most counting # contexts. Instead, we implement straight-addition. Both the inputs # and outputs are allowed to contain zero and negative counts. if iterable is not None: if isinstance(iterable, Mapping): if self: self_get = self.get for elem, count in iterable.iteritems(): self[elem] = self_get(elem, 0) + count else: super(Counter, self).update(iterable) # fast path when counter is empty else: self_get = self.get for elem in iterable: self[elem] = self_get(elem, 0) + 1 if kwds: self.update(kwds) def subtract(self, iterable=None, **kwds): '''Like dict.update() but subtracts counts instead of replacing them. Counts can be reduced below zero. Both the inputs and outputs are allowed to contain zero and negative counts. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.subtract('witch') # subtract elements from another iterable >>> c.subtract(Counter('watch')) # subtract elements from another counter >>> c['h'] # 2 in which, minus 1 in witch, minus 1 in watch 0 >>> c['w'] # 1 in which, minus 1 in witch, minus 1 in watch -1 ''' if iterable is not None: self_get = self.get if isinstance(iterable, Mapping): for elem, count in iterable.items(): self[elem] = self_get(elem, 0) - count else: for elem in iterable: self[elem] = self_get(elem, 0) - 1 if kwds: self.subtract(kwds) def copy(self): 'Return a shallow copy.' return self.__class__(self) def __reduce__(self): return self.__class__, (dict(self),) def __delitem__(self, elem): 'Like dict.__delitem__() but does not raise KeyError for missing values.' if elem in self: super(Counter, self).__delitem__(elem) def __repr__(self): if not self: return '%s()' % self.__class__.__name__ items = ', '.join(map('%r: %r'.__mod__, self.most_common())) return '%s({%s})' % (self.__class__.__name__, items) # Multiset-style mathematical operations discussed in: # Knuth TAOCP Volume II section 4.6.3 exercise 19 # and at http://en.wikipedia.org/wiki/Multiset # # Outputs guaranteed to only include positive counts. # # To strip negative and zero counts, add-in an empty counter: # c += Counter() def __add__(self, other): '''Add counts from two counters. >>> Counter('abbb') + Counter('bcc') Counter({'b': 4, 'c': 2, 'a': 1}) ''' if not isinstance(other, Counter): return NotImplemented result = Counter() for elem, count in self.items(): newcount = count + other[elem] if newcount > 0: result[elem] = newcount for elem, count in other.items(): if elem not in self and count > 0: result[elem] = count return result def __sub__(self, other): ''' Subtract count, but keep only results with positive counts. >>> Counter('abbbc') - Counter('bccd') Counter({'b': 2, 'a': 1}) ''' if not isinstance(other, Counter): return NotImplemented result = Counter() for elem, count in self.items(): newcount = count - other[elem] if newcount > 0: result[elem] = newcount for elem, count in other.items(): if elem not in self and count < 0: result[elem] = 0 - count 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, count in self.items(): other_count = other[elem] newcount = other_count if count < other_count else count if newcount > 0: result[elem] = newcount for elem, count in other.items(): if elem not in self and count > 0: result[elem] = count 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() for elem, count in self.items(): other_count = other[elem] newcount = count if count < other_count else other_count 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())