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Edit File: collections.pyc
� ٜSec @ s� d d d d d g Z d d l Td d l Z e e j 7Z d d l m Z m Z d d l m Z m Z d d l m Z d d l Z d d l Z d d l m Z m Z m Z d d l m Z y d d l m Z Wn! e k r� d d l m Z n Xd e f d � � YZ d Z! d Z" d Z# e$ e$ d � Z% d e f d � � YZ& e' d k r~d d l( m) Z) m* Z* e% d d e+ � Z, e, d d d d � Z- e- e) e* e- � � k s�t. � d e% d d � f d � � YZ, x/ e, d d � e, d d! d" � f D] Z- e- GHq�Wd e% d d � f d# � � YZ, e, d$ d% � j/ d d& � GHe% d' e, j0 d( f � Z1 e1 j2 GHd d l3 Z3 e% d) d* � Z4 e4 e3 j5 � � GHn d S(+ t Countert dequet defaultdictt namedtuplet OrderedDicti����( t *N( R R ( t itemgettert eq( t iskeyword( t repeatt chaint starmap( t imap( t get_identc B s e Z d Z d � Z e j d � Z e j d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z e j Z e Z e � Z e d � Z d d � Z e d � Z i d � Z d � Z d � Z e d d � � Z d � Z d � Z d � Z! d � Z" d � Z# RS( s) Dictionary that remembers insertion orderc O s� t | � d k r+ t d t | � � � n y | j Wn7 t k ro g | _ } | | d g | (i | _ n X| j | | � d S( s� Initialize an ordered dictionary. The signature is the same as regular dictionaries, but keyword arguments are not recommended because their insertion order is arbitrary. i s$ expected at most 1 arguments, got %dN( t lent TypeErrort _OrderedDict__roott AttributeErrort Nonet _OrderedDict__mapt _OrderedDict__update( t selft argst kwdst root( ( s# /usr/lib64/python2.7/collections.pyt __init__& s c C sX | | k rH | j } | d } | | | g | d <| d <| j | <n | | | | � S( s! od.__setitem__(i, y) <==> od[i]=yi i ( R R ( R t keyt valuet dict_setitemR t last( ( s# /usr/lib64/python2.7/collections.pyt __setitem__6 s )c C s@ | | | � | j j | � \ } } } | | d <| | d <d S( s od.__delitem__(y) <==> del od[y]i i N( R t pop( R R t dict_delitemt link_prevt link_nextt _( ( s# /usr/lib64/python2.7/collections.pyt __delitem__@ s c c s= | j } | d } x# | | k r8 | d V| d } q Wd S( s od.__iter__() <==> iter(od)i i N( R ( R R t curr( ( s# /usr/lib64/python2.7/collections.pyt __iter__I s c c s= | j } | d } x# | | k r8 | d V| d } q Wd S( s# od.__reversed__() <==> reversed(od)i i N( R ( R R R% ( ( s# /usr/lib64/python2.7/collections.pyt __reversed__R s c C s7 | j } | | d g | (| j j � t j | � d S( s. od.clear() -> None. Remove all items from od.N( R R R t cleart dict( R R ( ( s# /usr/lib64/python2.7/collections.pyR( [ s c C s t | � S( s od.keys() -> list of keys in od( t list( R ( ( s# /usr/lib64/python2.7/collections.pyt keysd s c C s g | D] } | | ^ q S( s# od.values() -> list of values in od( ( R R ( ( s# /usr/lib64/python2.7/collections.pyt valuesh s c C s! g | D] } | | | f ^ q S( s. od.items() -> list of (key, value) pairs in od( ( R R ( ( s# /usr/lib64/python2.7/collections.pyt itemsl s c C s t | � S( s0 od.iterkeys() -> an iterator over the keys in od( t iter( R ( ( s# /usr/lib64/python2.7/collections.pyt iterkeysp s c c s x | D] } | | Vq Wd S( s2 od.itervalues -> an iterator over the values in odN( ( R t k( ( s# /usr/lib64/python2.7/collections.pyt itervaluest s c c s$ x | D] } | | | f Vq Wd S( s= od.iteritems -> an iterator over the (key, value) pairs in odN( ( R R0 ( ( s# /usr/lib64/python2.7/collections.pyt iteritemsy s c C sC | | k r! | | } | | =| S| | j k r? t | � � n | S( s� 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. ( t _OrderedDict__markert KeyError( R R t defaultt result( ( s# /usr/lib64/python2.7/collections.pyR � s c C s" | | k r | | S| | | <| S( sD od.setdefault(k[,d]) -> od.get(k,d), also set od[k]=d if k not in od( ( R R R5 ( ( s# /usr/lib64/python2.7/collections.pyt setdefault� s c C sR | s t d � � n t | r* t | � n t | � � } | j | � } | | f S( s� 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. s dictionary is empty( R4 t nextt reversedR. R ( R R R R ( ( s# /usr/lib64/python2.7/collections.pyt popitem� s $c C ss t | � t � f } | | k r% d Sd | | <z5 | sI d | j j f Sd | j j | j � f SWd | | =Xd S( s od.__repr__() <==> repr(od)s ...i s %s()s %s(%r)N( t idt _get_identt __class__t __name__R- ( R t _repr_runningt call_key( ( s# /usr/lib64/python2.7/collections.pyt __repr__� s c C s� g | D] } | | | g ^ q } t | � j � } x' t t � � D] } | j | d � qE W| rx | j | f | f S| j | f f S( s% Return state information for picklingN( t varst copyR R R R= ( R R0 R- t inst_dict( ( s# /usr/lib64/python2.7/collections.pyt __reduce__� s #c C s | j | � S( s! od.copy() -> a shallow copy of od( R= ( R ( ( s# /usr/lib64/python2.7/collections.pyRC � s c C s( | � } x | D] } | | | <q W| S( s OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S. If not specified, the value defaults to None. ( ( t clst iterableR R R ( ( s# /usr/lib64/python2.7/collections.pyt fromkeys� s c C sG t | t � r7 t j | | � o6 t t t | | � � St j | | � S( s� od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive while comparison to a regular mapping is order-insensitive. ( t isinstanceR R) t __eq__t allt _imapt _eq( R t other( ( s# /usr/lib64/python2.7/collections.pyRJ � s (c C s | | k S( s od.__ne__(y) <==> od!=y( ( R RN ( ( s# /usr/lib64/python2.7/collections.pyt __ne__� s c C s t | � S( s@ od.viewkeys() -> a set-like object providing a view on od's keys( t KeysView( R ( ( s# /usr/lib64/python2.7/collections.pyt viewkeys� s c C s t | � S( s< od.viewvalues() -> an object providing a view on od's values( t ValuesView( R ( ( s# /usr/lib64/python2.7/collections.pyt viewvalues� s c C s t | � S( sB od.viewitems() -> a set-like object providing a view on od's items( t ItemsView( R ( ( s# /usr/lib64/python2.7/collections.pyt viewitems� s N($ R> t __module__t __doc__R R) R R$ R& R' R( R+ R, R- R/ R1 R2 t MutableMappingt updateR t objectR3 R R R7 t TrueR: RA RE RC t classmethodRH RJ RO RQ RS RU ( ( ( s# /usr/lib64/python2.7/collections.pyR s: s 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} s {name}=%rsW {name} = _property(_itemgetter({index:d}), doc='Alias for field number {index:d}') c B s e | e � r* | j d d � j � } n e e | � } | r� e � } x� e | � D] \ } } e d � | D� � s� e | � s� | s� | d j � s� | j d � s� | | k r� d | | | <n | j | � qU Wn x� | g | D]q } e d � | D� � se d | � � n e | � r7e d | � � n | d j � r� e d | � � q� q� We � } xc | D][ } | j d � r�| r�e d | � � n | | k r�e d | � � n | j | � qnWe j d | d e | � d e | � d e e | � � j d d � d d !d d j d � | D� � d d j d � e | � D� � � } | rb| GHn e d e d d | d e d e d e � } y | | UWn* e k r�} e | j d! | � � n X| | } y% e j d � j j d d" � | _ Wn e e f k rn X| S(# sC 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) t ,t c s s' | ] } | j � p | d k Vq d S( R# N( t isalnum( t .0t c( ( s# /usr/lib64/python2.7/collections.pys <genexpr>: s i R# s _%dc s s' | ] } | j � p | d k Vq d S( R# N( R_ ( R` Ra ( ( s# /usr/lib64/python2.7/collections.pys <genexpr>C s sW Type names and field names can only contain alphanumeric characters and underscores: %rs2 Type names and field names cannot be a keyword: %rs9 Type names and field names cannot start with a number: %rs/ Field names cannot start with an underscore: %rs$ Encountered duplicate field name: %rt typenamet field_namest num_fieldst arg_listt 't i i����t repr_fmts , c s s! | ] } t j d | � Vq d S( t nameN( t _repr_templatet format( R` Ri ( ( s# /usr/lib64/python2.7/collections.pys <genexpr>[ s t field_defss c s s- | ]# \ } } t j d | d | � Vq d S( t indexRi N( t _field_templateRk ( R` Rm Ri ( ( s# /usr/lib64/python2.7/collections.pys <genexpr>] s t _itemgetterR> s namedtuple_%sR t _propertyt _tuples : t __main__( RI t basestringt replacet splitt mapt strt sett enumerateRK t _iskeywordt isdigitt startswitht addt ValueErrort _class_templateRk t tupleR t reprt joinR) Ro R t propertyt SyntaxErrort messaget _syst _getframet f_globalst getRV R ( Rb Rc t verboset renamet seenRm Ri t class_definitiont namespacet eR6 ( ( s# /usr/lib64/python2.7/collections.pyR sn % %c B s� e Z d Z d d � Z d � Z d d � Z d � Z e d d � � Z d d � Z d d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z RS( s� 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)] c K s' t t | � j � | j | | � d S( s 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 N( t superR R RY ( R RG R ( ( s# /usr/lib64/python2.7/collections.pyR � s c C s d S( s1 The count of elements not in the Counter is zero.i ( ( R R ( ( s# /usr/lib64/python2.7/collections.pyt __missing__� s c C sP | d k r. t | j � d t d � d t �St j | | j � d t d � �S( s� 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)] R i t reverseN( R t sortedR2 Ro R[ t _heapqt nlargest( R t n( ( s# /usr/lib64/python2.7/collections.pyt most_common� s "c C s t j t t | j � � � S( s� 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. ( t _chaint from_iterablet _starmapt _repeatR2 ( R ( ( s# /usr/lib64/python2.7/collections.pyt elements� s c C s t d � � d S( Ns@ Counter.fromkeys() is undefined. Use Counter(iterable) instead.( t NotImplementedError( RF RG t v( ( s# /usr/lib64/python2.7/collections.pyRH � s c K s� | d k r� t | t � rz | ra | j } xJ | j � D]# \ } } | | d � | | | <q7 Wq� t t | � j | � q� | j } x( | D] } | | d � d | | <q� Wn | r� | j | � n d S( s� 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 i i N( R RI t MappingR� R2 R� R RY ( R RG R t self_gett elemt count( ( s# /usr/lib64/python2.7/collections.pyRY � s c K s� | d k r� | j } t | t � r[ x\ | j � D]# \ } } | | d � | | | <q1 Wq� x( | D] } | | d � d | | <qb Wn | r� | j | � n d S( s� 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 i i N( R R� RI R� R- t subtract( R RG R R� R� R� ( ( s# /usr/lib64/python2.7/collections.pyR� s c C s | j | � S( s Return a shallow copy.( R= ( R ( ( s# /usr/lib64/python2.7/collections.pyRC - s c C s | j t | � f f S( N( R= R) ( R ( ( s# /usr/lib64/python2.7/collections.pyRE 1 s c C s) | | k r% t t | � j | � n d S( sG Like dict.__delitem__() but does not raise KeyError for missing values.N( R� R R$ ( R R� ( ( s# /usr/lib64/python2.7/collections.pyR$ 4 s c C sI | s d | j j Sd j t d j | j � � � } d | j j | f S( Ns %s()s , s %r: %rs %s({%s})( R= R> R� Rv t __mod__R� ( R R- ( ( s# /usr/lib64/python2.7/collections.pyRA 9 s !c C s� t | t � s t St � } xA | j � D]3 \ } } | | | } | d k r) | | | <q) q) Wx? | j � D]1 \ } } | | k rm | d k rm | | | <qm qm W| S( s Add counts from two counters. >>> Counter('abbb') + Counter('bcc') Counter({'b': 4, 'c': 2, 'a': 1}) i ( RI R t NotImplementedR- ( R RN R6 R� R� t newcount( ( s# /usr/lib64/python2.7/collections.pyt __add__H s c C s� t | t � s t St � } xA | j � D]3 \ } } | | | } | d k r) | | | <q) q) WxC | j � D]5 \ } } | | k rm | d k rm d | | | <qm qm W| S( s� Subtract count, but keep only results with positive counts. >>> Counter('abbbc') - Counter('bccd') Counter({'b': 2, 'a': 1}) i ( RI R R� R- ( R RN R6 R� R� R� ( ( s# /usr/lib64/python2.7/collections.pyt __sub__[ s c C s� t | t � s t St � } xU | j � D]G \ } } | | } | | k rQ | n | } | d k r) | | | <q) q) Wx? | j � D]1 \ } } | | k r� | d k r� | | | <q� q� W| S( s� Union is the maximum of value in either of the input counters. >>> Counter('abbb') | Counter('bcc') Counter({'b': 3, 'c': 2, 'a': 1}) i ( RI R R� R- ( R RN R6 R� R� t other_countR� ( ( s# /usr/lib64/python2.7/collections.pyt __or__n s c C sx t | t � s t St � } xU | j � D]G \ } } | | } | | k rQ | n | } | d k r) | | | <q) q) W| S( s� Intersection is the minimum of corresponding counts. >>> Counter('abbb') & Counter('bcc') Counter({'b': 1}) i ( RI R R� R- ( R RN R6 R� R� R� R� ( ( s# /usr/lib64/python2.7/collections.pyt __and__� s N( R> RV RW R R R� R� R� R\ RH RY R� RC RE R$ RA R� R� R� R� ( ( ( s# /usr/lib64/python2.7/collections.pyR } s" + # Rr ( t loadst dumpst Points x, yt xi t yi s x yc B s& e Z d Z e d � � Z d � Z RS( c C s | j d | j d d S( Ni g �?( R� R� ( R ( ( s# /usr/lib64/python2.7/collections.pyt hypot� s c C s d | j | j | j f S( Ns$ Point: x=%6.3f y=%6.3f hypot=%6.3f( R� R� R� ( R ( ( s# /usr/lib64/python2.7/collections.pyt __str__� s ( ( R> RV t __slots__R� R� R� ( ( ( s# /usr/lib64/python2.7/collections.pyR� � s i i i i g @c B s/ e Z d Z d Z e e j � Z e d � Z RS( sH Point class with optimized _make() and _replace() without error-checkingc K s | j | | j d | � � S( NR� R� ( R� R� ( t _makeR� ( R t _mapR ( ( s# /usr/lib64/python2.7/collections.pyt _replace� s ( ( R> RV RW R� R\ R� t __new__R� Rv R� ( ( ( s# /usr/lib64/python2.7/collections.pyR� � s i i id t Point3Dt zt TestResultss failed attempted(6 t __all__t _abcollt _collectionsR R t operatorR Ro R RM t keywordR Rz t sysR� t heapqR� t itertoolsR R� R R� R R� R RL t threadR R< t ImportErrort dummy_threadR) R R Rj Rn t FalseR R R> t cPickleR� R� R[ R� t pt AssertionErrorR� t _fieldsR� RW t doctestR� t testmod( ( ( s# /usr/lib64/python2.7/collections.pyt <module> sH �c� )