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| Current File : //lib64/python2.7/collections.pyc |
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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& � j0 d d' � GHe& d( e- j1 d) f � Z2 e2 j GHd d l3 Z3 e& d* d+ � Z4 e4 e3 j5 � � GHn d S(, s 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
* 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
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
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r� 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.
s? descriptor '__init__' of 'OrderedDict' object needs an argumenti i s$ expected at most 1 arguments, got %dN( t TypeErrort lent _OrderedDict__roott AttributeErrort Nonet _OrderedDict__mapt _OrderedDict__update( t argst kwdst selft root( ( s# /usr/lib64/python2.7/collections.pyt __init__2 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__G 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__Q 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__Z 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__c 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( l s
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t | � S( s od.keys() -> list of keys in od( t list( R ( ( s# /usr/lib64/python2.7/collections.pyt keysu 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 valuesy 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 items} 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 iterkeys� 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
itervalues� 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 iteritems� 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
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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.
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
$c C ss t | � t � f } | | k r% d Sd | | <z5 | sI d | j j f Sd | j j | j � f SWd | | =Xd S( s od.__repr__() <==> repr(od)s ...i s %s()s %s(%r)N( t idt
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_repr_runningt call_key( ( s# /usr/lib64/python2.7/collections.pyt __repr__� s
c C s� g | D] } | | | g ^ q } t | � j � } x' t t � � D] } | j | d � qE W| rx | j | f | f S| j | f f S( s% Return state information for picklingN( t varst copyR R R R= ( R R0 R- t inst_dict( ( s# /usr/lib64/python2.7/collections.pyt
__reduce__� s #c C s
| j | � S( s! od.copy() -> a shallow copy of od( R= ( R ( ( s# /usr/lib64/python2.7/collections.pyRC � s c C s( | � } x | D] } | | | <q W| S( s OD.fromkeys(S[, v]) -> New ordered dictionary with keys from S.
If not specified, the value defaults to None.
( ( t clst iterableR R R ( ( s# /usr/lib64/python2.7/collections.pyt fromkeys� s
c C sG t | t � r7 t j | | � o6 t t t | | � � St j | | � S( s� od.__eq__(y) <==> od==y. Comparison to another OD is order-sensitive
while comparison to a regular mapping is order-insensitive.
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isinstanceR R) t __eq__t allt _imapt _eq( R t other( ( s# /usr/lib64/python2.7/collections.pyRJ � s (c C s | | k S( s od.__ne__(y) <==> od!=y( ( R RN ( ( s# /usr/lib64/python2.7/collections.pyt __ne__� s c C s
t | � S( s@ od.viewkeys() -> a set-like object providing a view on od's keys( t KeysView( R ( ( s# /usr/lib64/python2.7/collections.pyt viewkeys� s c C s
t | � S( s< od.viewvalues() -> an object providing a view on od's values( t
ValuesView( R ( ( s# /usr/lib64/python2.7/collections.pyt
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t | � S( sB od.viewitems() -> a set-like object providing a view on od's items( t ItemsView( R ( ( s# /usr/lib64/python2.7/collections.pyt viewitems� s N($ 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)
__dict__ = _property(_asdict)
def __getstate__(self):
'Exclude the OrderedDict from pickling'
pass
{field_defs}
s {name}=%rsW {name} = _property(_itemgetter({index:d}), doc='Alias for field number {index: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 accessible 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>R s i R# s _%ds* Type names and field names must be stringsc s s' | ] } | j � p | d k Vq d S( R# N( R_ ( R` Ra ( ( s# /usr/lib64/python2.7/collections.pys <genexpr>] 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>u s t
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%c B s� e Z d Z d � Z d � Z d d � Z d � Z e d d � � Z d � Z
d � Z d � Z d � Z
d
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� 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 O s{ | s t d � � n | d } | d } t | � d k rT t d t | � � � n 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
s; descriptor '__init__' of 'Counter' object needs an argumenti i s$ expected at most 1 arguments, got %dN( R R t superR R RY ( R R 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 O s2 | s t d � � n | d } | d } t | � d k rT t d t | � � � n | rd | d n d } | d k rt | t � r� | r� | j } xJ | j � D]# \ } } | | d � | | | <q� Wqt 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
s9 descriptor 'update' of 'Counter' object needs an argumenti i s$ expected at most 1 arguments, got %dN(
R R R RI t MappingR� R2 R� R RY ( R R R RG t self_gett elemt count( ( s# /usr/lib64/python2.7/collections.pyRY s&
c O s
| s t d � � n | d } | d } t | � d k rT t d t | � � � n | rd | d n d } | d k r� | j } t | t � r� x\ | j � D]# \ } } | | d � | | | <q� Wq� x( | D] } | | d � d | | <q� 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
s; descriptor 'subtract' of 'Counter' object needs an argumenti i s$ expected at most 1 arguments, got %dN( R R R R� RI R� R- t subtract( R R R RG 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 b 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$ e 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 j 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__y 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__� 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})
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