j'"dZddlmZddlZddlmZddlmZ m Z ddl Z ddl ZddlmZddlmZmZmZddlmZmZmZmZdd lmZmZm Z m!Z!m"Z"e r dd l#m$Z$m%Z%ndd l&m$Z$m%Z%d Zdd lm'Z'e!rd+d Z(nddlm(Z(e"r ddl)m*Z*n ddl-m*Z*d,dZ/Gdde0Z1Gdde2Z3 ddlmZddl m4Z4dZ5Gdde2Z6dZ7d+dZ(Gdde%Z8ddlm9Z9e9dfdZ:d Z;e3Ze(Z?eZ@e5ZAe/ZBe8ZCe:ZDe;ZEe jd!k\r!dd"l#m3Z3m6Z6ddlm(Z(dd#lGm;Z; dd$lm7Z7dd%lm:Z:e jd&k\r ddlmZdd'l#m5Z5e jd(k\r dd)lHm/Z/dd*l#m8Z8yy#e+$r ddl,m*Z*YwxYw#e+$r ddl.m*Z*YwxYw#e+$rYwxYw#e+$rYrwxYw)-a Miscellaneous function (re)definitions from the Py3.4+ standard library for Python 2.6/2.7. - math.ceil (for Python 2.7) - collections.OrderedDict (for Python 2.6) - collections.Counter (for Python 2.6) - collections.ChainMap (for all versions prior to Python 3.3) - itertools.count (for Python 2.6, with step parameter) - subprocess.check_output (for Python 2.6) - reprlib.recursive_repr (for Python 2.6+) - functools.cmp_to_key (for Python 2.6) )absolute_importN)ceil) itemgettereq)proxy)repeatchainstarmap) getaddrinfo SOCK_STREAMerrorsocket) iteritems itervaluesPY2PY26PY3)MappingMutableMappingc*tt|S)zZ Return the ceiling of x as an int. 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Comparison to another OD is order-sensitive while comparison to a regular mapping is order-insensitive. ) isinstancerCrj__eq__allmap_eq)r,others rrzOrderedDict.__eq__6sC e[ );;tU+JCT54I0J J{{4''r)Tr)"r5r3r@r4rRrjrYrLr<r_rcrgrirmrpryrupdaterNkeysvaluesr__ne__objectr{r[rr:rrr classmethodrrrrrrCrCms/%."&!1!1e '-1,<,< #.*0'---FX   D  " "F  E  " "FxH' HH O$(rrC)r)nlargestcH|j}|D]}||ddz||<y)z!Tally elements from the iterable.rrEN)get)mappingr mapping_getelems r_count_elementsrLs/++K1#D!,q0 1rceZdZdZfdZdZddZdZeddZ fdZ dZ d Z d Z fd Zd Zd ZdZdZdZdZdZdZdZdZdZdZxZS)CounteraDict subclass for counting hashable items. Sometimes called a bag or multiset. 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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 argumentrrENrF)rGrHsuperrrRr)rOrPr,rs rrRzCounter.__init__sn01 1AwABx t9q=BSYNO O gt%' T"T"rcy)z1The count of elements not in the Counter is zero.rrr,r-s r __missing__zCounter.__missing__src|%t|jtddStj||jtdS)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)] rET)r-reverse)r-)sortedr _itemgetter_heapqr)r,rws r most_commonzCounter.most_commons? 9$**,KNDI Iq$**,KNCCrcdtjtt|j S)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_repeatrrs relementszCounter.elementss"(##HWdjjl$CDDrctd)Nz@Counter.fromkeys() is undefined. Use Counter(iterable) instead.)NotImplementedError)rrvs rrzCounter.fromkeyss" NP Prc|s td|d}|dd}t|dkDrtdt|z|r|dnd}|ft|trJ|r4|j}|j D]\}}|||dz||<n t t|#|n t|||r|j|yy)aLike dict.update() but add counts instead of replacing them. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.update('witch') # add elements from another iterable >>> d = Counter('watch') >>> c.update(d) # add elements from another counter >>> c['h'] # four 'h' in which, witch, and watch 4 z9descriptor 'update' of 'Counter' object needs an argumentrrENrF) rGrHrrrrrrrr)rOrPr,rself_getrr#rs rrzCounter.updates(01 1AwABx t9q=BSYNO O"47  (G,#xxH'/~~'7? e%*XdA->%>T ?'4/9h/  KK  rcn|s td|d}|dd}t|dkDrtdt|z|r|dnd}|Z|j}t|tr(|j D]\}}||d|z ||<n|D]}||ddz ||<|r|j |yy)aLike dict.update() but subtracts counts instead of replacing them. Counts can be reduced below zero. Both the inputs and outputs are allowed to contain zero and negative counts. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.subtract('witch') # subtract elements from another iterable >>> c.subtract(Counter('watch')) # subtract elements from another counter >>> c['h'] # 2 in which, minus 1 in witch, minus 1 in watch 0 >>> c['w'] # 1 in which, minus 1 in witch, minus 1 in watch -1 z;descriptor 'subtract' of 'Counter' object needs an argumentrrENrF)rGrHrrrrsubtract)rOrPr,rrrr#s rrzCounter.subtracts 01 1AwABx t9q=BSYNO O"47  xxH(G,#+>>#3;KD%!)$!2U!:DJ;%7D!)$!2Q!6DJ7  MM$  rc$|j|S)zReturn a shallow copy.rrs rrz Counter.copyrrc2|jt|ffSr)rrjrs rrzCounter.__reduce__s~~T },,rc6||vrtt| |yy)zGLike dict.__delitem__() but does not raise KeyError for missing values.N)rrr_)r,rrs rr_zCounter.__delitem__s 4< '4 ,T 2 rcT|sd|jjzS djtdj|j }|jjd|dS#t $r2dj|jjt|cYSwxYw)Nz%s(), z%r: %rz({z})z {0}({1!r})) rr5joinr__mod__rrGformatrj)r,rs rrzCounter.__repr__#sDNN333 3 LIIc("2"2D4D4D4FGHE!%!8!8%@ @ L&&t~~'>'>T K K LsAA,,8B'&B'ct|tstSt}|jD]\}}|||z}|dkDs|||<|jD]\}}||vs |dkDs|||<|S)zAdd counts from two counters. >>> Counter('abbb') + Counter('bcc') Counter({'b': 4, 'c': 2, 'a': 1}) rrrNotImplementedrr,rr.rr#newcounts r__add__zCounter.__add__6s%)! !::< (KD%uT{*H!|'t  (!;;= %KD%4EAI$t  % rct|tstSt}|jD]\}}|||z }|dkDs|||<|jD]\}}||vs |dksd|z ||<|S)z Subtract count, but keep only results with positive counts. >>> Counter('abbbc') - Counter('bccd') Counter({'b': 2, 'a': 1}) rrrs r__sub__zCounter.__sub__Is%)! !::< (KD%uT{*H!|'t  (!;;= )KD%4EAI 5yt  ) rct|tstSt}|jD]\}}||}||kr|n|}|dkDs|||< |jD]\}}||vs |dkDs|||<|S)zUnion is the maximum of value in either of the input counters. >>> Counter('abbb') | Counter('bcc') Counter({'b': 3, 'c': 2, 'a': 1}) rrr,rr.rr# other_countrs r__or__zCounter.__or__\s%)! !::< (KD%+K&+k&9{uH!|'t  ( !;;= %KD%4EAI$t  % rct|tstSt}|jD]\}}||}||kr|n|}|dkDs|||< |S)z Intersection is the minimum of corresponding counts. >>> Counter('abbb') & Counter('bcc') Counter({'b': 1}) rrrs r__and__zCounter.__and__psb%)! !::< (KD%+K % 3uH!|'t  (  rc|tzS)zEAdds an empty counter, effectively stripping negative and zero countsrrs r__pos__zCounter.__pos__sgirct|z S)z{Subtracts from an empty counter. Strips positive and zero counts, and flips the sign on negative counts. rrs r__neg__zCounter.__neg__s y4rcv|jDcgc] \}}|dkDr |}}}|D]}||=|Scc}}w)z?Internal method to strip elements with a negative or zero countr)r)r,rr# nonpositives r_keep_positivezCounter._keep_positivesF/3zz|M e519tM M DT   Ns 55cl|jD]\}}||xx|z cc<|jS)zInplace add from another counter, keeping only positive counts. >>> c = Counter('abbb') >>> c += Counter('bcc') >>> c Counter({'b': 4, 'c': 2, 'a': 1}) rrr,rrr#s r__iadd__zCounter.__iadd__:!;;= KD% J% J ""$$rcl|jD]\}}||xx|zcc<|jS)zInplace subtract counter, but keep only results with positive counts. >>> c = Counter('abbbc') >>> c -= Counter('bccd') >>> c Counter({'b': 2, 'a': 1}) rrs r__isub__zCounter.__isub__rrcr|jD]\}}||}||kDs|||<|jS)zInplace union is the maximum of value from either counter. >>> c = Counter('abbb') >>> c |= Counter('bcc') >>> c Counter({'b': 3, 'c': 2, 'a': 1}) r)r,rrrr#s r__ior__zCounter.__ior__sI"' ) D+JEU"(T  )""$$rcr|jD]\}}||}||ks|||<|jS)zInplace intersection is the minimum of corresponding counts. >>> c = Counter('abbb') >>> c &= Counter('bcc') >>> c Counter({'b': 1}) r)r,rrr#rs r__iand__zCounter.__iand__sH ::< )KD%+KU"(T  )""$$rr)r5r3r@r4rRrrrrrrrrrr_rrrrrrrrrrrr __classcell__rs@rrrRs*d#* DE0PP 'R! F$-3 L&&&("   % % % %rrcd|vr tdtj|dtji|}|j \}}|j }|r.|j d}||d}tj|||S)z[ For Python 2.6 compatibility: see http://stackoverflow.com/questions/4814970/ stdoutz3stdout argument not allowed, it will be overridden.rOr) ValueError subprocessPopenPIPE communicatepollrCalledProcessError) popenargskwargsprocessoutput unused_errretcodecmds r check_outputrs 6NOO LjooLVLG ,,.FJllnGjj  ;A,C++GS99 Mrc# K |||z } w)z ``itertools.count`` in Py 2.6 doesn't accept a step parameter. This is an enhanced version of ``itertools.count`` for Py2.6 equivalent to ``itertools.count`` in Python 2.7+. rr s rr#r#s     r$ceZdZdZdZdZdZddZdZdZ d Z d Z e Z e d Zed Zd ZeZddZedZdZdZdZdZdZy)ChainMapa A ChainMap groups multiple dicts (or other mappings) together to create a single, updateable view. The underlying mappings are stored in a list. That list is public and can accessed or updated using the *maps* attribute. There is no other state. Lookups search the underlying mappings successively until a key is found. 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