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Many (but not all) from the Python Cookbook -- hence the name cbook i����( t print_functionN( t reduce( t reft WeakKeyDictionaryi i c C s� d d l } y/ t j | j d � j � } | s: d } n Wn t t t f k r] d } n Xt | t � r� | d k r� t | � St | | � Sn | S( Ni����s axes.formatter.use_locale( t matplotlibt localet getpreferredencodingt rcParamst stript Nonet ValueErrort ImportErrort AttributeErrort isinstancet bytest unicode( t sR t preferredencoding( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt unicode_safe, s c C s� d d l } y/ t j | j d � j � } | s: d } n Wn t t t f k r] d } n X| d k rt t | � St | | � Sd S( Ni����s axes.formatter.use_locale( R R R R R R R R R R ( R R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR @ s t converterc B s/ e Z d Z d d d � Z d � Z d � Z RS( s[ Base class for handling string -> python type with support for missing values t Nullc C s | | _ | | _ d S( N( t missingt missingval( t selfR R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __init__V s c C s | | j k r | j S| S( N( R R ( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __call__Z s c C s | j � p | | j k S( N( R R ( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_missing_ s N( t __name__t __module__t __doc__R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR Q s t tostrc B s e Z d Z d d d � Z RS( s convert to string or NoneR t c C s t j | d | d | �d S( NR R ( R R ( R R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR e s ( R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR c s t todatetimec B s) e Z d Z d d d d � Z d � Z RS( s convert to a datetime or Nones %Y-%m-%dR c C s t j | | | � | | _ d S( s8 use a :func:`time.strptime` format string for conversionN( R R t fmt( R R! R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR k s c C s< | j | � r | j St j | | j � } t j | d � S( Ni ( R R t timet strptimeR! t datetime( R R t tup( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR p s N( R R R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR i s t todatec B s) e Z d Z d d d d � Z d � Z RS( s convert to a date or Nones %Y-%m-%dR c C s t j | | | � | | _ d S( s8 use a :func:`time.strptime` format string for conversionN( R R R! ( R R! R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR y s c C s< | j | � r | j St j | | j � } t j | d � S( Ni ( R R R" R# R! R$ t date( R R R% ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR ~ s N( R R R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR& w s t tofloatc B s& e Z d Z d d d � Z d � Z RS( s convert to a float or NoneR c C s t j | | � | | _ d S( N( R R R ( R R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s | j | � r | j St | � S( N( R R t float( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s N( R R R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR( � s t tointc B s& e Z d Z d d d � Z d � Z RS( s convert to an int or NoneR c C s t j | | � d S( N( R R ( R R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s | j | � r | j St | � S( N( R R t int( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s N( R R R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR* � s t _BoundMethodProxyc B sD e Z d Z d � Z d � Z d � Z d � Z d � Z d � Z RS( s� Our own proxy object which enables weak references to bound and unbound methods and arbitrary callables. Pulls information about the function, class, and instance out of a bound method. Stores a weak reference to the instance to support garbage collection. @organization: IBM Corporation @copyright: Copyright (c) 2005, 2006 IBM Corporation @license: The BSD License Minor bugfixes by Michael Droettboom c C s� yO y t | j � | _ Wn t k r5 d | _ n X| j | _ | j | _ Wn, t k r} d | _ | | _ d | _ n Xd S( N( R t im_selft instt TypeErrorR t im_funct funct im_classt klassR ( R t cb( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s9 | j j � } | d } | d k r5 | � | d <n | S( NR. ( t __dict__t copyR ( R t dR. ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __getstate__� s c C s5 | | _ | d } | d k r1 t | � | _ n d S( NR. ( R5 R R R. ( R t statedictR. ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __setstate__� s c O s� | j d k r* | j � d k r* t � nm | j d k r� t j d d k rj t j | j | j � � } q� t j | j | j � | j � } n | j } | | | � S( s� Proxy for a call to the weak referenced object. Take arbitrary params to pass to the callable. Raises `ReferenceError`: When the weak reference refers to a dead object i i N( R. R t ReferenceErrort syst version_infot typest MethodTypeR1 t newt instancemethodR3 ( R t argst kwargst mtd( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s ! $ c C ss yZ | j d k r1 | j | j k o0 | j d k S| j | j k oX | j � | j � k SWn t k rn t SXd S( sa Compare the held function and instance with that held by another proxy. N( R. R R1 t Exceptiont False( R t other( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __eq__� s , c C s | j | � S( s$ Inverse of __eq__. ( RH ( R RG ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __ne__� s ( R R R R R8 R: R RH RI ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR, � s t CallbackRegistryc B sD e Z d Z d � Z d � Z d � Z d � Z d � Z d � Z RS( s& Handle registering and disconnecting for a set of signals and callbacks: >>> def oneat(x): ... print 'eat', x >>> def ondrink(x): ... print 'drink', x >>> from matplotlib.cbook import CallbackRegistry >>> callbacks = CallbackRegistry() >>> id_eat = callbacks.connect('eat', oneat) >>> id_drink = callbacks.connect('drink', ondrink) >>> callbacks.process('drink', 123) drink 123 >>> callbacks.process('eat', 456) eat 456 >>> callbacks.process('be merry', 456) # nothing will be called >>> callbacks.disconnect(id_eat) >>> callbacks.process('eat', 456) # nothing will be called In practice, one should always disconnect all callbacks when they are no longer needed to avoid dangling references (and thus memory leaks). However, real code in matplotlib rarely does so, and due to its design, it is rather difficult to place this kind of code. To get around this, and prevent this class of memory leaks, we instead store weak references to bound methods only, so when the destination object needs to die, the CallbackRegistry won't keep it alive. The Python stdlib weakref module can not create weak references to bound methods directly, so we need to create a proxy object to handle weak references to bound methods (or regular free functions). This technique was shared by Peter Parente on his `"Mindtrove" blog <http://mindtrove.info/articles/python-weak-references/>`_. c G sA t | � r t j d t � n t � | _ d | _ i | _ d S( NsP CallbackRegistry no longer requires a list of callback types. Ignoring argumentsi ( t lent warningst warnt DeprecationWarningt dictt callbackst _cidt _func_cid_map( R RB ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR s c C s i S( N( ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR8 s c C s | j � d S( N( R ( R t state( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR: % s c C s� | j j | t � � | | j | k r8 | j | | S| j d 7_ | j } | | j | | <| j j | t � � t | � } | | j | | <| S( si register *func* to be called when a signal *s* is generated func will be called i ( RR t setdefaultR RQ RP RO R, ( R R R1 t cidt proxy( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt connect) s c C s� x| | j j � D]k \ } } y | | =Wn t k r= q q Xx6 | j j � D]% \ } } | | k rN | j | =qN qN Wd Sq Wd S( sK disconnect the callback registered with callback id *cid* N( RP t itemst KeyErrorRR ( R RU t eventnamet callbackdt keyt value( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt disconnect: s c O sy | | j k ru xc | j | j � D]K \ } } | j d k ra | j � d k ra | j | | =q# | | | � q# Wn d S( s� process signal *s*. All of the functions registered to receive callbacks on *s* will be called with *\*args* and *\*\*kwargs* N( RP RX R. R ( R R RB RC RU RV ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt processI s !( R R R R R8 R: RW R^ R_ ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRJ � s % t Schedulerc B s2 e Z d Z e j � Z d Z d � Z d � Z RS( s4 Base class for timeout and idle scheduling i c C sG t j j | � t j | _ t | _ t j d 7_ t j � | _ d S( Ni ( t threadingt ThreadR R` t idRF t _stoppedt Eventt _stopevent( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR ^ s c C s1 | j r d S| j j � | j � t | _ d S( N( Rd Rf t sett joint True( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt stope s ( R R R Ra t Lockt idlelockRc R Rj ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR` W s t Timeoutc B s e Z d Z d � Z d � Z RS( s? Schedule recurring events with a wait time in seconds c C s# t j | � | | _ | | _ d S( N( R` R t waitR1 ( R Rn R1 ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR q s c C s` xY | j j � s[ | j j | j � t j j � | j | � } t j j � | s Pq q Wd S( N( Rf t isSetRn R` Rl t acquireR1 t release( R t b( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt runv s ( R R R R Rs ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRm m s t Idlec B s& e Z d Z d Z d � Z d � Z RS( s3 Schedule callbacks when scheduler is idle g�������?c C s t j | � | | _ d S( N( R` R R1 ( R R1 ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s` xY | j j � s[ | j j t j � t j j � | j | � } t j j � | s Pq q Wd S( N( Rf Ro Rn Rt t waittimeR` Rl Rp R1 Rq ( R Rr ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRs � s ( R R R Ru R Rs ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRt � s t silent_listc B s> e Z d Z d d � Z d � Z d � Z d � Z d � Z RS( s� override repr when returning a list of matplotlib artists to prevent long, meaningless output. This is meant to be used for a homogeneous list of a given type c C s) | | _ | d k r% | j | � n d S( N( t typeR t extend( R Rw t seq( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s d t | � | j f S( Ns <a list of %d %s objects>( RK Rw ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __repr__� s c C s t | � S( N( t repr( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __str__� s c C s i | j d 6| d 6S( NRw Ry ( Rw ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR8 � s c C s" | d | _ | j | d � d S( NRw Ry ( Rw Rx ( R RS ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR: � s N( R R R R R Rz R| R8 R: ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRv � s c C s: d } | d d !} x | D] } | j | d � } q W| S( s% remove latex formatting from mathtexts \mathdefaults \rms \cals \tts \its \t {t }i i����R ( s \mathdefaults \rms \cals \tts \its \R} R~ ( t replace( R t removet r( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt strip_math� s t Bunchc B s e Z d Z d � Z d � Z RS( s� Often we want to just collect a bunch of stuff together, naming each item of the bunch; a dictionary's OK for that, but a small do- nothing class is even handier, and prettier to use. Whenever you want to group a few variables:: >>> point = Bunch(datum=2, squared=4, coord=12) >>> point.datum By: Alex Martelli From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/52308 c K s | j j | � d S( N( R5 t update( R t kwds( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C sD | j j � } d d j g | D] } d | | j | f ^ q � S( Ns Bunch(%s)s , s %s=%s( R5 t iterkeysRh ( R t keyst k( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRz � s ( R R R R Rz ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� � s c C s) t g | D] } | d f ^ q � j � S( s' Return a list of unique elements of *x*i ( RO R� ( t xt val( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt unique� s c C s' y t | � Wn t k r" t SXt S( s return true if *obj* is iterable( t iterR/ RF Ri ( t obj( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt iterable� s c C so t | t t f � r t St j | � rT | j d k rM | j j d k rM t St Sn y | d Wn t SXt S( s( Return True if *obj* looks like a stringi t SUR ( R t strR Ri t mat isMaskedArrayt ndimt dtypet kindRF ( R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_string_like� s ! c C sE t | � s t St | � r t Sx | D] } t | � s' t Sq' Wt S( s@ Returns true if *obj* is iterable and contains strings ( R� RF R� Ri ( R� t o( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_sequence_of_strings� s c C s t | d � o t | j � S( sC return true if *obj* looks like a file object with a *write* methodt write( t hasattrt callableR� ( R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_writable_file_like s c C s t | � o t | � S( s; return true if *obj* is not string like and is not iterable( R� R� ( R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_scalar s c C s y | d Wn t SXt Sd S( s( return true if *obj* looks like a numberi N( RF Ri ( R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_numlike s t rUc C s� t | � r� | j d � rN d d l } | j d d � } | j | | � } nQ | j d � r� | j d d � } d d l } | j | | � } n t | | � } t } n* t | d � r� | } t } n t d � � | r� | | f S| S( s� *fname* can be a filename or a file handle. Support for gzipped files is automatic, if the filename ends in .gz. *flag* is a read/write flag for :func:`file` s .gzi����Nt UR s .bz2t seeks% fname must be a string or file handle( R� t endswitht gzipR t opent bz2t BZ2FileRi R� RF R ( t fnamet flagt return_openedR� t fhR� t opened( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt to_filehandle s$ c C s t | � p t | � S( s; Return whether the given object is a scalar or string like.( R� R� ( R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_scalar_or_string2 s c C s� t j j t j j t � d d � } t j j | | � } | r� t j j | � d j � d k rj d } n d } t j j | � \ } } | d k r� t j | | � St | | � Sn | Sd S( s Return a sample data file. *fname* is a path relative to the `mpl-data/sample_data` directory. If *asfileobj* is `True` return a file object, otherwise just a file path. If the filename ends in .gz, the file is implicitly ungzipped. s mpl-datat sample_datai����s .csvs .xrcs .txtR� t rbs .gzN( s .csvs .xrcs .txt( t ost pathRh t dirnamet __file__t splitextt lowerR� R� ( R� t asfileobjt rootR� t modet baset ext( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt get_sample_data7 s $ c c sH xA | D]9 } | | � r! | Vq x t | | � D] } | Vq1 Wq Wd S( s� Returns a generator of flattened nested containers For example: >>> from matplotlib.cbook import flatten >>> l = (('John', ['Hunter']), (1, 23), [[([42, (5, 23)], )]]) >>> print list(flatten(l)) ['John', 'Hunter', 1, 23, 42, 5, 23] By: Composite of Holger Krekel and Luther Blissett From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/121294 and Recipe 1.12 in cookbook N( t flatten( Ry t scalarpt itemt subitem( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� R s t Sorterc B s> e Z d Z d � Z d d d � Z d d � Z e Z e Z RS( se Sort by attribute or item Example usage:: sort = Sorter() list = [(1, 2), (4, 8), (0, 3)] dict = [{'a': 3, 'b': 4}, {'a': 5, 'b': 2}, {'a': 0, 'b': 0}, {'a': 9, 'b': 9}] sort(list) # default sort sort(list, 1) # sort by index 1 sort(dict, 'a') # sort a list of dicts by key 'a' c C sA | j � g | D] \ } } | | ^ q } | r= | | (n | S( N( t sort( R t datat auxt inplacet junkt it result( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt _helper| s # i c C s� | d k r: | r% | j � | } n | } | j � | Sg t t | � � D] } | | | | f ^ qM } | j | | | � Sd S( N( R R� t rangeRK R� ( R R� t itemindexR� R� R� R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt byItem� s 3c C sK g t t | � � D] } t | | | � | f ^ q } | j | | | � S( N( R� RK t getattrR� ( R R� t attributenameR� R� R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt byAttribute� s 8N( R R R R� R R� R� R� R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� i s t Xlatorc B s) e Z d Z d � Z d � Z d � Z RS( sm All-in-one multiple-string-substitution class Example usage:: text = "Larry Wall is the creator of Perl" adict = { "Larry Wall" : "Guido van Rossum", "creator" : "Benevolent Dictator for Life", "Perl" : "Python", } print multiple_replace(adict, text) xlat = Xlator(adict) print xlat.xlat(text) c C s( t j d j t t j | j � � � � S( s= Build re object based on the keys of the current dictionary t |( t ret compileRh t mapt escapeR� ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt _make_regex� s c C s | | j d � S( s( Handler invoked for each regex *match* i ( t group( R t match( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s | j � j | | � S( s. Translate *text*, returns the modified text. ( R� t sub( R t text( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt xlat� s ( R R R R� R R� ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� � s i c C s� d } d } d } xp | j � D]b } | j � r | s@ | } n | t | � t d � } | sq | | d k r� | | 7} q� q q W| | d } | j d d � } | | d | S( s6 soundex module conforming to Odell-Russell algorithm t 01230120022455012623010202R t Ai����i t 0( t uppert isalphat ordR ( t nameRK t soundex_digitst sndxt fct cR7 ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt soundex� s R c B sV e Z d Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z RS( s0 Null objects always and reliably "do nothing." c O s d S( N( ( R RB RC ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c O s | S( N( ( R RB RC ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s d S( Ns Null()( ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR| � s c C s d S( Ns Null()( ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRz � s c C s d S( Ni ( ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __nonzero__� s c C s | S( N( ( R R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __getattr__� s c C s | S( N( ( R R� R] ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __setattr__� s c C s | S( N( ( R R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __delattr__� s ( R R R R R R| Rz R� R� R� R� ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s i� c C s� y� t j j | � s� t j j | � } x_ t d t | � d � D]A } t j j | | � } t j j | � sA t j | | � qA qA Wn Wn> t k r� } | j t j k s� t j j | � r� � q� n Xd S( s� make directory *newdir* recursively, and set *mode*. Equivalent to :: > mkdir -p NEWDIR > chmod MODE NEWDIR i N( R� R� t existst splitR� RK Rh t makedirst OSErrort errnot EEXISTt isdir( t newdirR� t partsR� t thispartt err( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt mkdirs� s %t GetRealpathAndStatc B s e Z d � Z d � Z RS( c C s i | _ d S( N( t _cache( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR s c C s� | j j | � } | d k r� t j j | � } t j d k rH | } n! t j | � } | j | j f } | | f } | | j | <n | S( Nt win32( R� t getR R� R� t realpathR< t platformt statt st_inot st_dev( R R� R� R� t stat_keyR� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR s ( R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� s c C s4 x- | D]% } y | | =Wq t k r+ q Xq Wd S( s3 delete all of the *keys* from the :class:`dict` *d*N( RY ( R7 R� R\ ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt dict_delall s t RingBufferc B sE e Z d Z d � Z d d d � � YZ d � Z d � Z d � Z RS( s- class that implements a not-yet-full buffer c C s | | _ g | _ d S( N( t maxR� ( R t size_max( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR $ s t __Fullc B s e Z d Z d � Z d � Z RS( s% class that implements a full buffer c C s+ | | j | j <| j d | j | _ d S( s/ Append an element overwriting the oldest one. i N( R� t curR ( R R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt append* s c C s | j | j | j | j S( s* return list of elements in correct order ( R� R ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� / s ( R R R R R� ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR ( s c C sA | j j | � t | j � | j k r= d | _ t | _ n d S( s* append an element at the end of the bufferi N( R� R RK R R t _RingBuffer__Fullt __class__( R R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR 3 s c C s | j S( s: Return a list of elements from the oldest to the newest. 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R i i s ? {0,%d}s N( t _find_dedent_regexR� R t endt startt _dedent_regexR� R� R� R� R ( R R� t nshiftt unindentR� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt dedentq s t *i c C s� d d l } d d l } | j d � } g } x� | j | � D]� \ } } } x~ | D]v } | j j | j j | | � � } | s� | j j | � rS x4 | D]) } | j | | � r� | j | � Pq� q� WqS qS W| s= Pq= q= W| S( sU Recursively list files from Parmar and Martelli in the Python Cookbook i����Nt ;( t os.patht fnmatchR� t walkR� t normpathRh t isfileR ( R� t patternst recurset return_foldersR� R( t pattern_listt resultsR� t dirst filesR� t fullnamet pattern( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt listFiles� s ! c C s� g } xm | D]e } t j j | � r8 | j | � q n t j j | � r t | d d d d �} | j | � q q Wg | D] } t j j | � s} | ^ q} S( sx Recurse all the files and dirs in *args* ignoring symbolic links and return the files as a list of strings R- i R. ( R� R� R+ R R� R5 Rx t islink( RB R2 t argt newfilest f( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt get_recursive_filelist� s i c c s@ d } x3 | | | | !} t | � s* Pn | V| | 7} q d S( s$ Break up the *seq* into *num* tuplesi N( RK ( Ry t numR R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt pieces� s c C sE t j � } | d k r+ t | d | �n t j d | � | j � S( Nt file( t iot StringIOR t printt tracebackt print_exct getvalue( R t sh( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt exception_to_str� s c C s^ t | � d k r t S| d } x7 t d t | � � D] } | | } | | k r6 t Sq6 Wt S( sm Return *True* if all elements of *seq* compare equal. If *seq* is 0 or 1 length, return *True* i i i ( RK Ri R RF ( Ry R� R� t thisval( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt allequal� s c C s/ t | � s t Sx | D] } | s t Sq Wt S( sl Return *True* if all elements of *seq* evaluate to *True*. If *seq* is empty, return *False*. ( RK RF Ri ( Ry R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt alltrue� s c C s/ t | � s t Sx | D] } | r t Sq Wt S( sb Return *True* if one element of *seq* is *True*. It *seq* is empty, return *False*. ( RK RF Ri ( Ry R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt onetrue� s c C s> g t | � D]- \ } } | | d D] } | | f ^ q% q S( s return all possible pairs in sequence *x* Condensed by Alex Martelli from this thread_ on c.l.python .. _thread: http://groups.google.com/groups?q=all+pairs+group:*python*&hl=en&lr=&ie=UTF-8&selm=mailman.4028.1096403649.5135.python-list%40python.org&rnum=1 i ( t enumerate( R� R� R9 R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt allpairs s t maxdictc B s e Z d Z d � Z d � Z RS( s� A dictionary with a maximum size; this doesn't override all the relevant methods to contrain size, just setitem, so use with caution c C s# t j | � | | _ g | _ d S( N( RO R t maxsizet _killkeys( R RM ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR s c C sf | | k rO t | � | j k r< | | j d =| j d =n | j j | � n t j | | | � d S( Ni ( RK RM RN R RO t __setitem__( R R� t v( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRO s ( R R R R RO ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRL s t Stackc B s} e Z d Z d d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z d � Z RS( s� Implement a stack where elements can be pushed on and you can move back and forth. But no pop. Should mimic home / back / forward in a browser c C s | j � | | _ d S( N( t cleart _default( R t default( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR * s c C s( t | j � s | j S| j | j Sd S( s# return the current element, or NoneN( RK t _elementsRS t _pos( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR . s c C s | j j � S( N( RU t __len__( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRW 5 s c C s | j j | � S( N( RU t __getitem__( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRX 8 s c C s; t | j � } | j | d k r4 | j d 7_ n | � S( s8 move the position forward and return the current elementi ( RK RU RV ( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt forward; s c C s( | j d k r! | j d 8_ n | � S( s5 move the position back and return the current elementi i ( RV ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt backB s c C sD | j | j d | _ | j j | � t | j � d | _ | � S( s� push object onto stack at current position - all elements occurring later than the current position are discarded i ( RU RV R RK ( R R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt pushH s c C s. t | j � s d S| j | j d � | � S( s0 push the first element onto the top of the stackNi ( RK RU R[ ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt homeR s c C s t | j � d k S( Ni ( RK RU ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt emptyY s c C s d | _ g | _ d S( s empty the stacki����N( RV RU ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRR \ s c C s� | | j k r t d � � n | j } | j � g } x7 | D]/ } | | k ra | j | � q? | j | � q? 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( RO Rj ( R7 R� R� RP ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt restrict_dict� s c C s� d d l m } m } t j � } t j d k ro | d | d t d | �j j � } t | d j � � } nGt j j d � r� | d | d t d | �j j � } t | d j � d � } n� t j j d � r| d | d t d | �j j � } t | d j � d � } n� t j j d � r�y/ | d d d d | g d | �j j � } Wn t k rwt d � � n Xt | j � j � d j d d � � } n t d t j � � | S( s% return the memory consumed by processi����( t Popent PIPEt sunos5s ps -p %d -o oszt shellt stdoutt linuxs ps -p %d -o rss,szi t darwins ps -p %d -o rss,vszi t wint tasklists /nhs /fis pid eq %dsF report_memory works on Windows only if the 'tasklist' program is foundi����t ,R s% We don't have a memory monitor for %s( t subprocessRm Rn R� t getpidR< R� Ri Rq t readlinesR+ R t startswithR� t readR� t NotImplementedErrorR ( R� Rm Rn t pidt a2t mem( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt report_memory� s2 +s0 In safezip, len(args[0])=%d but len(args[%d])=%dc G ss t | d � } xV t | d � D]D \ } } t | � | k r! t t | | d t | � f � � q! q! Wt | � S( s- make sure *args* are equal len before zippingi i ( RK RJ R t _safezip_msgR ( RB t NxR� R7 ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt safezip� s *c C s* y t | | � SWn t k r% t SXd S( s; return issubclass(x, klass) and return False on a TypeErrorN( t issubclassR/ RF ( R� R3 ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt issubclass_safe� s c C sN t j | � } y& t j j | d t �} | j � Wn t k rI | SX| S( NR6 ( t npt asanyarrayR� t masked_invalidRF t shrink_maskR/ ( R� t xm( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt safe_masked_invalid� s t MemoryMonitorc B sS e Z d d � Z d � Z d � Z d d � Z d d d � Z d d d d � Z RS( i N c C s5 | | _ t j | j f t j � | _ | j � d S( N( t _nmaxR� t zerost int32t _memRR ( R t nmax( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s d | _ t | _ d S( Ni ( t _nRF t _overflow( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRR � s c C sJ t � } | j | j k r= | | j | j <| j d 7_ n t | _ | S( Ni ( R� R� R� R� Ri R� ( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s i c C s& | j } t | | � } t | | � } t d | | � } | d | d <t � t d � t d | j d � x� t d t | � � D]� } | | | | d } | d k r� q� n | j | | | j | | d } t d | | | j | | | | t | � f � q� W| j r"t d � n d S( Ni i i����s( memory report: i, mem, dmem, dmem/nloopss %5d %5d %3d %8.3fs: Warning: array size was too small for the number of calls.( R� t minR+ R� R@ R� RK R) R� ( R t segmentst nt dnt iiR� t dit dm( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt report� s" $ i i c C s5 t j | | j | � } | | j | | j | � f S( N( R� t arangeR� R� ( R t i0t isubR� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt xy s c C sg | d k r. d d l m } m } | � } n | j d � } | j | j | | � � | j j � d S( Ni����( t figuret showio ( R t pylabR� R� t add_subplott plotR� t canvast draw( R R� R� t figR� R� t ax( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� s N( R R R RR R R� R� R R� ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� � s c s� d d l � d d l m � � f d � � � � � � � � � f d � � x5 � D]- } � j d | f � � | | i g � qS Wd S( sY *objects* A list of objects to find cycles in. It is often useful to pass in gc.garbage to find the cycles that are preventing some objects from being garbage collected. *outstream* The stream for output. *show_progress* If True, print the number of objects reached as they are found. i����N( t FrameTypec sK x7t | � D])\ } } | | d t | � } � j d t t | � � � t | t � r� x� | j � D]Z \ } } | | k r� � j d t | � � Pn | | k rj � j d t | � � Pqj qj Wn^ t | t � r� � j d | j | � � n2 t | t � r� j d � n � j t | � � � j d � q W� j d � d S( Ni s %s -- s [%s]s [key] = %ss [%d]s ( tuple )s -> s ( RJ RK R� R� Rw R RO Rj R{ t listt indext tuple( R� R� t stept nextR\ R� ( t outstream( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt print_path$ s$ c s� � r � j d t | � � n d | t | � <� j | � } xw | D]o } | | k re � | � qF | � k sF t | � � r� qF qF t | � | k rF � | | | | | g � qF qF Wd S( Ns %d ( R� RK R Rc t get_referentsR ( R� R t allt current_patht referentst referent( R� t gct objectsR� R� R- t show_progress( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR- ; s s Examining: %r ( R� R> R� R� ( R� R� R� R� ( ( R� R� R� R� R� R- R� s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt print_cycles s ! t Grouperc B sP e Z d Z g d � Z d � Z d � Z d � Z d � Z d � Z d � Z RS( s This class provides a lightweight way to group arbitrary objects together into disjoint sets when a full-blown graph data structure would be overkill. Objects can be joined using :meth:`join`, tested for connectedness using :meth:`joined`, and all disjoint sets can be retreived by using the object as an iterator. The objects being joined must be hashable and weak-referenceable. For example: >>> from matplotlib.cbook import Grouper >>> class Foo(object): ... def __init__(self, s): ... self.s = s ... def __repr__(self): ... return self.s ... >>> a, b, c, d, e, f = [Foo(x) for x in 'abcdef'] >>> grp = Grouper() >>> grp.join(a, b) >>> grp.join(b, c) >>> grp.join(d, e) >>> sorted(map(tuple, grp)) [(d, e), (a, b, c)] >>> grp.joined(a, b) True >>> grp.joined(a, c) True >>> grp.joined(a, d) False c C s; i } | _ x' | D] } t | � g | t | � <q Wd S( N( t _mappingR ( R t initt mappingR� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR { s c C s t | � | j k S( N( R R� ( R R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __contains__� s c C sb | j } g | D] } | � d k r | ^ q } x* | D]" } | j | � } | j | � q8 Wd S( s@ Clean dead weak references from the dictionary N( R� R Rb R� ( R R� R\ t to_dropR� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt clean� s ( c G s� | j } | j t | � t | � g � } x� | D]� } | j t | � � } | d k r~ | j t | � � | | t | � <q1 | | k r1 t | � t | � k r� | | } } n | j | � x | D] } | | | <q� Wq1 q1 W| j � d S( sa Join given arguments into the same set. Accepts one or more arguments. N( R� RT R R� R R RK Rx R� ( R t aRB R� t set_aR7 t set_bt elem( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyRh � s ! c C sN | j � | j } y" | t | � | t | � k SWn t k rI t SXd S( sJ Returns True if *a* and *b* are members of the same set. N( R� R� R RY RF ( R R� Rr R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt joined� s " c c s� | j � d d d � � Y} | � } xR | j j � D]A } | d | k r6 g | D] } | � ^ qS V| j | � q6 q6 Wx1 | j j � D] } | d | k r� | d =q� q� Wd S( s� Iterate over each of the disjoint sets as a list. The iterator is invalid if interleaved with calls to join(). t Tokenc B s e Z RS( ( R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� � s i����N( ( R� R� t itervaluesR ( R R� t tokenR� R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt __iter__� s c C sH | j � | j j t | � t | � g � } g | D] } | � ^ q5 S( sM Returns all of the items joined with *a*, including itself. ( R� R� R� R ( R R� t siblingsR� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt get_siblings� s $( R R R R R� R� Rh R� R� R� ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� W s # c C s� | d k r | St j | � } t | � d | d } t | j � } | | d <t j | | j � } | d | d <| d d !} | d } | | | } x8 t d t | � � D]! } | | | | | d | � <q� W| | | d | � <| S( Ni i i����( R� t floorRK R� t shapeR� R� R� R+ ( R� t stepst new_lengtht new_shapeR� t a0t a1t deltaR� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt simple_linear_interpolation� s c C s� t j j | � r� x� t j t j j | d � � t j t j j | d � � D]? } t j j | � r t | � t j | � qM t j | � qM Wn t j | � d S( NR% s .*( R� R� R� t globRh t recursive_removet removedirsR� ( R� R� ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR� � s # c G s� t | � s d St | d � s1 t | d � r@ t d � � n t | d � } g } t g t | � } x� t | � D]� \ } } t | � r� t | � r� t | � | k r� t | | <t j | � r� | j d k r� t d � � q� q� t j | � } n | j | � qv Wg } x� t | � D]� \ } } | | r | j d k rHq n t j | � rz| j t j | � � | j } n | } y5 t j | � } t | t j � r�| j | � n Wq�q�Xq q Wt | � rOt t j | � } | j � d } t | � | k rOxC t | � D]2 \ } } | | r| j | d d �| | <qqWqOn xF t | � D]8 \ } } | | r\t j | � r\| j � | | <q\q\W| S( sn Find all masked and/or non-finite points in a set of arguments, and return the arguments with only the unmasked points remaining. Arguments can be in any of 5 categories: 1) 1-D masked arrays 2) 1-D ndarrays 3) ndarrays with more than one dimension 4) other non-string iterables 5) anything else The first argument must be in one of the first four categories; any argument with a length differing from that of the first argument (and hence anything in category 5) then will be passed through unchanged. Masks are obtained from all arguments of the correct length in categories 1, 2, and 4; a point is bad if masked in a masked array or if it is a nan or inf. No attempt is made to extract a mask from categories 2, 3, and 4 if :meth:`np.isfinite` does not yield a Boolean array. All input arguments that are not passed unchanged are returned as ndarrays after removing the points or rows corresponding to masks in any of the arguments. A vastly simpler version of this function was originally written as a helper for Axes.scatter(). i s! First argument must be a sequencei s Masked arrays must be 1-Dt axis( ( RK R� R� R RF RJ Ri R� t isMAR� R� t asarrayR t getmaskarrayR� t isfiniteR t ndarrayR t logical_andt nonzerot taket filled( RB t nrecst margst seqlistR� R� t maskst xdt maskt igood( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt delete_masked_points� sR !+ &c C su | j | j � } t j d | d f � } t j t | � d � } | d | d } t j | d k | � } t j | d k | � } t | � t | � k s� t � t | � d k r� d S| s� t j | d d � t j f | d d � t j f f d d �S| | } t j | � } t j d | d f � } | } t j | d d � t j f | d d � t j f f d d �S( s Find index ranges where *mask* is *False*. *mask* will be flattened if it is not already 1-D. Returns Nx2 :class:`numpy.ndarray` with each row the start and stop indices for slices of the compressed :class:`numpy.ndarray` corresponding to each of *N* uninterrupted runs of unmasked values. If optional argument *compressed* is *False*, it returns the start and stop indices into the original :class:`numpy.ndarray`, not the compressed :class:`numpy.ndarray`. Returns *None* if there are no unmasked values. Example:: y = ma.array(np.arange(5), mask = [0,0,1,0,0]) ii = unmasked_index_ranges(ma.getmaskarray(y)) # returns array [[0,2,] [2,4,]] y.compressed()[ii[1,0]:ii[1,1]] # returns array [3,4,] ii = unmasked_index_ranges(ma.getmaskarray(y), compressed=False) # returns array [[0, 2], [3, 5]] y.filled()[ii[1,0]:ii[1,1]] # returns array [3,4,] Prior to the transforms refactoring, this was used to support masked arrays in Line2D. i i����i NR� ( i ( i ( i ( t reshapet sizeR� t concatenateR� RK t compresst AssertionErrorR t newaxist cumsum( R� t compressedt mt indicest mdifR� t i1t seglengthst breakpointst ic0t ic1( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt unmasked_index_rangesB s ! ? t -t solids --t dasheds -.t dashdott :t dottedc C s8 t j d t � d d l j } | j | | | d | �S( s\ This function has been moved to matplotlib.mlab -- please import it from there sa less_simple_linear_interpolation has been moved to matplotlib.mlab -- please import it from therei����Nt extrap( RL RM RN t matplotlib.mlabt mlabt less_simple_linear_interpolation( R� t yt xiR R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR ~ s g @c C s8 t j d t � d d l j } | j | d d d | �S( s\ This function has been moved to matplotlib.mlab -- please import it from there sO vector_lengths has been moved to matplotlib.mlab -- please import it from therei����Nt Pg @R� ( RL RM RN R R t vector_lengths( t XR R� R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s, t j d t � d d l j } | j | � S( s\ This function has been moved to matplotlib.mlab -- please import it from there sV distances_along_curve has been moved to matplotlib.mlab -- please import it from therei����N( RL RM RN R R t distances_along_curve( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s, t j d t � d d l j } | j | � S( s\ This function has been moved to matplotlib.mlab -- please import it from there sL path_length has been moved to matplotlib.mlab -- please import it from therei����N( RL RM RN R R t path_length( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s, t j d t � d d l j } | j | � S( s\ This function has been moved to matplotlib.mlab -- please import it from there sR is_closed_polygon has been moved to matplotlib.mlab -- please import it from therei����N( RL RM RN R R t is_closed_polygon( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c C s; t j d t � d d l j } | j | | | | | | � S( s\ This function has been moved to matplotlib.mlab -- please import it from there sK quad2cubic has been moved to matplotlib.mlab -- please import it from therei����N( RL RM RN R R t quad2cubic( t q0xt q0yt q1xt q1yt q2xt q2yR ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c ' s� d d � f d � � Y} g | D] } | | � ^ q } t } } xr g g | D] } | j ^ qO D] } | rb | ^ qb } | r� t | � } | g | D] } | | � ^ q� f VqE PqE d S( s� This generator takes a bunch of iterables that are ordered by func It sends out ordered tuples:: (func(row), [rows from all iterators matching func(row)]) It is used by :func:`matplotlib.mlab.recs_join` to join record arrays t myiterc s) e Z d � Z � f d � Z d � Z RS( c S s' | | _ d | _ | _ | j � d S( N( t itR R\ R] t iternext( R R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c sP y( t | j � | _ � | j � | _ Wn! t k rK d | _ | _ n Xd S( N( R� R R] R\ t StopIterationR ( R ( R1 ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s c S sV d } | | j k r+ | j } | j � n' | j rR | | j k rR t d � � n | S( Ns Iterator has been left behind( R R\ R] R R ( R R\ t retval( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s ( R R R R R ( ( R1 ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR � s N( ( Ri R\ R� ( R1 t iterablesR R t iterst minvalst minkeyt _f( ( R1 s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt align_iterators� s 5 'c C sl y t | � } Wn t k r/ t d � � n X| j d � | j d � } | d k oe | d d k } | S( NsN matplotlib display text must have all code points < 128 or use Unicode stringst $s \$i i ( R t UnicodeDecodeErrorR t count( R t dollar_countt even_dollars( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt is_math_text� s t _NestedClassGetterc B s e Z d Z d � Z RS( s� When called with the containing class as the first argument, and the name of the nested class as the second argument, returns an instance of the nested class. c C s% t | | � } t � } | | _ | S( N( R� R% R ( R t containing_classt class_namet nested_classt nested_instance( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR s ( R R R R ( ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR% s t _InstanceMethodPicklerc B s e Z d Z d � Z d � Z RS( sm Pickle cannot handle instancemethod saving. _InstanceMethodPickler provides a solution to this. c C s | j | _ | j j | _ d S( s- Takes an instancemethod as its only argument.N( R- t parent_objR0 R t instancemethod_name( R RA ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyR s c C s t | j | j � S( N( R� R+ R, ( R ( ( s6 /usr/lib64/python2.7/site-packages/matplotlib/cbook.pyt get_instancemethod! 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