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rï 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- GHqæWd 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
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namedtuplet OrderedDictiÿÿÿÿ( t *N( R R ( t
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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
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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
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ro g | _ } | | d g | (i | _ n X| j | | d S( sÅ Initialize an ordered dictionary. The signature is the same as
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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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __setitem__6 s
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)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 _( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __delitem__@ s
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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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __iter__I s
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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% ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __reversed__R s
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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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyR( [ s c C s
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t | S( s od.keys() -> list of keys in od( t list( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt keysd s c C s g | D] } | | ^ q S( s# od.values() -> list of values in od( ( R R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt itemsl s c C s
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t | S( s0 od.iterkeys() -> an iterator over the keys in od( t iter( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt
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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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt iteritemsy s c C sC | | k r! | | } | | =| S| | j k r? t | n | S( s² od.pop(k[,d]) -> v, remove specified key and return the corresponding
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value. If key is not found, d is returned if given, otherwise KeyError
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is raised.
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( t _OrderedDict__markert KeyError( R R t defaultt result( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyR s
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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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt
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setdefault s
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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.
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Pairs are returned in LIFO order if last is true or FIFO order if false.
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|
s dictionary is empty( R4 t nextt reversedR. R ( R R R R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt popitem s
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$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
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_get_identt __class__t __name__R- ( R t _repr_runningt call_key( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __repr__¤ s
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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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt
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__reduce__± s #c C s | j | S( s! od.copy() -> a shallow copy of od( R= ( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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.
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( t
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isinstanceR R) t __eq__t allt _imapt _eq( R t other( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyRJ Ê s (c C s | | k S( s od.__ne__(y) <==> od!=y( ( R RN ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __ne__Ó s c C s
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t | S( s@ od.viewkeys() -> a set-like object providing a view on od's keys( t KeysView( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt viewkeysÙ s c C s
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t | S( s< od.viewvalues() -> an object providing a view on od's values( t
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ValuesView( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt
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viewvaluesÝ s c C s
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t | S( sB od.viewitems() -> a set-like object providing a view on od's items( t ItemsView( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt viewitemsá s N($ R> t
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__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 ( ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyR s:
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|
|
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 | } | rÛ e } x e | D] \ } } e d | D s¶ e | s¶ | s¶ | d j
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| qé qé We } xc | D][ } | j d r| re d | n | | k r¼e 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
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y% e j d j j d d" |
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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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pys <genexpr>: s i R# s _%dc s s' | ] } | j p | d k Vq d S( R# N( R_ ( R` Ra ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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
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num_fieldst arg_listt 't i iÿÿÿÿt repr_fmts , c s s! | ] } t j d | Vq d S( t nameN( t _repr_templatet format( R` Ri ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pys <genexpr>[ s t
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c s s- | ]# \ } } t j d | d | Vq d S( t indexRi N( t _field_templateRk ( R` Rm Ri ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pys <genexpr>] s t _itemgetterR> s namedtuple_%sR t _propertyt _tuples :
|
t __main__( RI t
|
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|
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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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyR sn %
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%c B sª 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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyR ° s c C s d S( s1 The count of elements not in the Counter is zero.i ( ( R R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __missing__¾ s c C sP | d k r. t | j d t d d t St j | | j d t d S( sð 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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt most_commonàs "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 ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt elementsÐ s c C s t d d S( Ns@ Counter.fromkeys() is undefined. Use Counter(iterable) instead.( t NotImplementedError( RF RG t v( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyRH è s c K sÈ | 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 | rÄ | j | n d S( sÉ 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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyRY ï 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¢ ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyR£ s c C s | j | S( s Return a shallow copy.( R= ( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyRC - s c C s | j t | f f S( N( R= R) ( R ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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¡ ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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- ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __add__H s c C sª 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¦ ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __sub__[ s c C sº 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¦ ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/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¦ ( ( sS /tmp/ndk-User/buildhost/install/prebuilt/darwin-x86_64/lib/python2.7/collections.pyt __and__ s
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