3 4^^$@sdZddddddddd g Zd d lTd d lZeej7Zd d lmZmZd dlm Z d d l Z d d l Zd dlmZd dlmZmZmZd dlmZyd dlmZWnek rYn Xej eyd dlm!Z!Wnek rYnXGddde"Z#Gddde$Z%Gddde&Z'Gddde(Z)Gddde*Z+yd dlm+Z+Wnek rXYnXdZ,dZ-d Z.d!d!d d"d#dZ/d$d%Z0yd d&lm0Z0Wnek rYnXGd'dde*Z1Gd(d d e2Z3Gd)dde2Z4Gd*ddeZ5Gd+dde6Z7d S),a?This module implements specialized container datatypes providing alternatives to Python's general purpose built-in containers, dict, list, set, and tuple. * namedtuple factory function for creating tuple subclasses with named fields * deque list-like container with fast appends and pops on either end * ChainMap dict-like class for creating a single view of multiple mappings * Counter dict subclass for counting hashable objects * OrderedDict dict subclass that remembers the order entries were added * defaultdict dict subclass that calls a factory function to supply missing values * UserDict wrapper around dictionary objects for easier dict subclassing * UserList wrapper around list objects for easier list subclassing * UserString wrapper around string objects for easier string subclassing deque defaultdict namedtupleUserDictUserList UserStringCounter OrderedDictChainMap)*N) itemgettereq) iskeyword)proxy)repeatchainstarmap)recursive_repr)r)rc@seZdZddZdS)_OrderedDictKeysViewccst|jEdHdS)N)reversed_mapping)selfr*/usr/lib/python3.6/collections/__init__.py __reversed__5sz!_OrderedDictKeysView.__reversed__N)__name__ __module__ __qualname__rrrrrr3src@seZdZddZdS)_OrderedDictItemsViewccs(x"t|jD]}||j|fVq WdS)N)rr)rkeyrrrr:sz"_OrderedDictItemsView.__reversed__N)rrrrrrrrr8src@seZdZddZdS)_OrderedDictValuesViewccs$xt|jD]}|j|Vq WdS)N)rr)rrrrrr@sz#_OrderedDictValuesView.__reversed__N)rrrrrrrrr >sr c@seZdZdZdS)_Linkprevnextr __weakref__N)r"r#rr$)rrr __slots__rrrrr!Dsr!c@seZdZdZddZejeefddZej fddZ dd Z d d Z d d Z d*ddZ d+ddZddZejZZddZddZddZejZeZefddZd,ddZed d!Zd"d#Zd$d%Zed-d&d'Z d(d)Z!dS).rz)Dictionary that remembers insertion orderc Os|s td|^}}t|dkr0tdt|y |jWn>tk rxt|_t|j|_}||_|_i|_ YnX|j ||dS)zInitialize an ordered dictionary. 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Comparison to another OD is order-sensitive while comparison to a regular mapping is order-insensitive. ) isinstancerr>__eq__allmap_eq)rotherrrrr]s zOrderedDict.__eq__)T)T)N)N)"rrr__doc__r2r>r6r,r!r:r<rr=r@rBrIMutableMappingupdater.rJrKrL__ne__objectrMr7rP_recursive_reprrSrXrU classmethodr[r]rrrrrGs0          )rafrom builtins import property as _property, tuple as _tuple from operator import itemgetter as _itemgetter from collections import OrderedDict 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 _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' % list(kwds)) return result def __repr__(self): 'Return a nicely formatted representation string' return self.__class__.__name__ + '({repr_fmt})' % self def _asdict(self): 'Return a new OrderedDict which maps field names to their values.' return OrderedDict(zip(self._fields, self)) def __getnewargs__(self): 'Return self as a plain tuple. 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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)] csN|s td|^}}t|dkr0tdt|tt|j|j||dS)a 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 z;descriptor '__init__' of 'Counter' object needs an argumentr&z$expected at most 1 arguments, got %dN)r'r(superrr2rd)r/r0r)rQrrr2s  zCounter.__init__cCsdS)z1The count of elements not in the Counter is zero.r r)rrrrr __missing__szCounter.__missing__NcCs6|dkrt|jtdddStj||jtddS)zList the n most common elements and their counts from the most common to the least. If n is None, then list all element counts. >>> Counter('abcdeabcdabcaba').most_common(3) [('a', 5), ('b', 4), ('c', 3)] Nr&T)rreverse)r)sortedrK _itemgetter_heapqnlargest)rrGrrr most_commons zCounter.most_commoncCstjtt|jS)aIterator over elements repeating each as many times as its count. >>> c = Counter('ABCABC') >>> sorted(c.elements()) ['A', 'A', 'B', 'B', 'C', 'C'] # Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1 >>> prime_factors = Counter({2: 2, 3: 3, 17: 1}) >>> product = 1 >>> for factor in prime_factors.elements(): # loop over factors ... product *= factor # and multiply them >>> product 1836 Note, if an element's count has been set to zero or is a negative number, elements() will ignore it. )_chain from_iterable_starmap_repeatrK)rrrrelements+szCounter.elementscCs tddS)Nz@Counter.fromkeys() is undefined. Use Counter(iterable) instead.)NotImplementedError)rYrZvrrrr[CszCounter.fromkeyscs|s td|^}}t|dkr0tdt||r<|dnd}|dk rt|tr|r|j}x8|jD]\}}|||d||<qfWqtt|j|n t |||r|j|dS)aLike dict.update() but add counts instead of replacing them. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.update('witch') # add elements from another iterable >>> d = Counter('watch') >>> c.update(d) # add elements from another counter >>> c['h'] # four 'h' in which, witch, and watch 4 z9descriptor 'update' of 'Counter' object needs an argumentr&z$expected at most 1 arguments, got %dr N) r'r(r\MappingrrKrrrdr)r/r0rrZself_getrcount)rQrrrdJs    zCounter.updatecOs|s td|^}}t|dkr0tdt||r<|dnd}|dk r|j}t|trxH|jD]\}}||d|||<qbWn x|D]}||dd||<qW|r|j|dS)aLike 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 z;descriptor 'subtract' of 'Counter' object needs an argumentr&z$expected at most 1 arguments, got %dr N)r'r(rr\rrKsubtract)r/r0rrZrrrrrrrrs   zCounter.subtractcCs |j|S)zReturn a shallow copy.)rQ)rrrrrUsz Counter.copycCs|jt|ffS)N)rQr>)rrrrrXszCounter.__reduce__cs||krtj|dS)zGLike dict.__delitem__() but does not raise KeyError for missing values.N)rr:)rr)rQrrr:szCounter.__delitem__c Cs`|sd|jjSy&djtdj|j}d|jj|fStk rZdj|jjt|SXdS)Nz%s()z, z%r: %rz%s({%s})z {0}({1!r})) rQrrr___mod__rr'rsr>)rrKrrrrSs zCounter.__repr__cCsxt|tstSt}x0|jD]$\}}|||}|dkr|||<qWx,|jD] \}}||krP|dkrP|||<qPW|S)zAdd counts from two counters. >>> Counter('abbb') + Counter('bcc') Counter({'b': 4, 'c': 2, 'a': 1}) r )r\rNotImplementedrK)rrarOrrnewcountrrr__add__s    zCounter.__add__cCs|t|tstSt}x0|jD]$\}}|||}|dkr|||<qWx0|jD]$\}}||krP|dkrPd|||<qPW|S)z Subtract count, but keep only results with positive counts. >>> Counter('abbbc') - Counter('bccd') Counter({'b': 2, 'a': 1}) r )r\rrrK)rrarOrrrrrr__sub__s   zCounter.__sub__cCst|tstSt}x<|jD]0\}}||}||kr:|n|}|dkr|||<qWx,|jD] \}}||kr\|dkr\|||<q\W|S)zUnion is the maximum of value in either of the input counters. >>> Counter('abbb') | Counter('bcc') Counter({'b': 3, 'c': 2, 'a': 1}) r )r\rrrK)rrarOrr other_countrrrr__or__s   zCounter.__or__cCsVt|tstSt}x<|jD]0\}}||}||kr:|n|}|dkr|||<qW|S)z Intersection is the minimum of corresponding counts. >>> Counter('abbb') & Counter('bcc') Counter({'b': 1}) r )r\rrrK)rrarOrrrrrrr__and__s  zCounter.__and__cCs0t}x$|jD]\}}|dkr|||<qW|S)zEAdds an empty counter, effectively stripping negative and zero countsr )rrK)rrOrrrrr__pos__s  zCounter.__pos__cCs4t}x(|jD]\}}|dkrd|||<qW|S)z{Subtracts from an empty counter. 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