Rc@sdZddlmZddlZddlZddlmZddlZddlZddl Z ddl Z ddl Z ddl Z ddl Z ddlZddlZddlZddlZddlZddlmZmZddlZddljZdefdYZeZddded d Zddded d Zddded d Z e j!ddkrdZ"n dZ"de#fdYZ$de$fdYZ%de$fdYZ&de$fdYZ'de$fdYZ(de$fdYZ)de#fdYZ*d d|d!YZ+d"ej,fd#YZ-d$e-fd%YZ.d&e-fd'YZ/d(e0fd)YZ1d*Z2d+d}d,YZ3d-Z4d.Z5d/Z6d0Z7d1Z8d2Z9d3Z:d4ed5Z;d6Z<e=d7Z>e<d8Z?d9d~d:YZ@d;eAfd<YZBd=d>ZCd?dd@YZDdAdBZEdCddDYZFeFZGdEZHdFddGYZIdHZJdIZKe jLdJZMiZNdKZOdLdMddNZPdOZQdPdQZRddRZTdSZUdTZVdUZWdVZXdWeAfdXYZYdYe#fdZYZZd[Z[ed\Z\d]Z]d^Z^dd_Z_d`Z`daZadbZbdcZcddddeYZde jeedfZfdge#fdhYZgdiZhdjZidkZje=dlZkddddgZleAelZmemjngelD]ZoeodMeodf^q>duZpdvZqdwe#fdxYZrdye#fdzYZsy ejtWneuk rejvZwn Xd{ZwdS(s A collection of utility functions and classes. Originally, many (but not all) were from the Python Cookbook -- hence the name cbook. This module is safe to import from anywhere within matplotlib; it imports matplotlib only at runtime. i(tprint_functionN(treduce(treftWeakKeyDictionarytMatplotlibDeprecationWarningcBseZdZRS(s A class for issuing deprecation warnings for Matplotlib users. In light of the fact that Python builtin DeprecationWarnings are ignored by default as of Python 2.7 (see link below), this class was put in to allow for the signaling of deprecation, but via UserWarnings which are not ignored by default. http://docs.python.org/dev/whatsnew/2.7.html#the-future-for-python-2-x (t__name__t __module__t__doc__(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR s tt attributecCsl|shd}|rd}nd}|r4d|}n|i|d6|d6|d6|d6|d 6|}n|S( NRsAThe %(func)s %(obj_type)s will be deprecated in a future version.s>The %(func)s %(obj_type)s was deprecated in version %(since)s.s Use %s instead.tfunctnamet alternativetobj_typetsince((RtmessageR R tpendingR t altmessage((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt_generate_deprecation_message0s   cCs5t||||||}tj|tdddS(s Used to display deprecation warning in a standard way. Parameters ------------ since : str The release at which this API became deprecated. message : str, optional Override the default deprecation message. The format specifier `%(func)s` may be used for the name of the function, and `%(alternative)s` may be used in the deprecation message to insert the name of an alternative to the deprecated function. `%(obj_type)` may be used to insert a friendly name for the type of object being deprecated. name : str, optional The name of the deprecated function; if not provided the name is automatically determined from the passed in function, though this is useful in the case of renamed functions, where the new function is just assigned to the name of the deprecated function. For example:: def new_function(): ... oldFunction = new_function alternative : str, optional An alternative function that the user may use in place of the deprecated function. The deprecation warning will tell the user about this alternative if provided. pending : bool, optional If True, uses a PendingDeprecationWarning instead of a DeprecationWarning. obj_type : str, optional The object type being deprecated. t stackleveliN(RtwarningstwarntmplDeprecation(RRR R RR ((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytwarn_deprecatedMs*tfunctioncs"||||fd}|S(sT Used to mark a function as deprecated. Parameters ------------ since : str The release at which this API became deprecated. This is required. message : str, optional Override the default deprecation message. The format specifier `%(func)s` may be used for the name of the function, and `%(alternative)s` may be used in the deprecation message to insert the name of an alternative to the deprecated function. `%(obj_type)` may be used to insert a friendly name for the type of object being deprecated. name : str, optional The name of the deprecated function; if not provided the name is automatically determined from the passed in function, though this is useful in the case of renamed functions, where the new function is just assigned to the name of the deprecated function. For example:: def new_function(): ... oldFunction = new_function alternative : str, optional An alternative function that the user may use in place of the deprecated function. The deprecation warning will tell the user about this alternative if provided. pending : bool, optional If True, uses a PendingDeprecationWarning instead of a DeprecationWarning. c s~ddl}ddl}ttry jWn]tk rjdt}t |drq|jqt |dr|j qSnXt }nt }|sj }nt||||jfd} | j} | s d} n|j| jd} jdid6d 6| } | s\| d 7} n| | _|rzt| } n| S( Nit__func__tim_funccs#tjtdd||S(NRi(RRR(targstkwargs(R R(sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytdeprecated_funcsRs s, .. deprecated:: %(since)s %(message)s RRs\ (t functoolsttextwrapt isinstancet classmethodRtAttributeErrort__get__tNonetobjectthasattrRtTruetFalseRRtwrapsRtdedenttstrip( R RR R RRRtmethodtis_classmethodRtold_doctnew_doc(R R(R RsJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt deprecates@        !     ((RRR R RR R0((R RsJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt deprecated}s' 6iicCsddl}y/tj|jdj}|s:d}nWn tttfk r]d}nXt |t r|dkrt |St ||Sn|S(Nisaxes.formatter.use_locale( t matplotlibtlocaletgetpreferredencodingtrcParamsR+R$t ValueErrort ImportErrorR"R tbytestunicode(tsR2tpreferredencoding((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt unicode_safes     cCsddl}y/tj|jdj}|s:d}nWn tttfk r]d}nX|dkrtt |St ||SdS(Nisaxes.formatter.use_locale( R2R3R4R5R+R$R6R7R"R9(R:R2R;((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR<s     t convertercBs/eZdZdddZdZdZRS(s[ Base class for handling string -> python type with support for missing values tNullcCs||_||_dS(N(tmissingt missingval(tselfR?R@((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt__init__s cCs||jkr|jS|S(N(R?R@(RAR:((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt__call__scCs|j p||jkS(N(R+R?(RAR:((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt is_missingsN(RRRR$RBRCRD(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR= s ttostrcBseZdZdddZRS(sconvert to string or NoneR>RcCstj|d|d|dS(NR?R@(R=RB(RAR?R@((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRB!s(RRRRB(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyREst todatetimecBs)eZdZddddZdZRS(sconvert to a datetime or Nones%Y-%m-%dR>cCs tj|||||_dS(s8use a :func:`time.strptime` format string for conversionN(R=RBtfmt(RARGR?R@((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRB'scCs<|j|r|jStj||j}tj|d S(Ni(RDR@ttimetstrptimeRGtdatetime(RAR:ttup((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRC,sN(RRRR$RBRC(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRF%sttodatecBs)eZdZddddZdZRS(sconvert to a date or Nones%Y-%m-%dR>cCs tj|||||_dS(s8use a :func:`time.strptime` format string for conversionN(R=RBRG(RARGR?R@((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRB5scCs<|j|r|jStj||j}tj|d S(Ni(RDR@RHRIRGRJtdate(RAR:RK((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRC:sN(RRRR$RBRC(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRL3sttofloatcBs&eZdZdddZdZRS(sconvert to a float or NoneR>cCstj||||_dS(N(R=RBR@(RAR?R@((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBCscCs |j|r|jSt|S(N(RDR@tfloat(RAR:((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRCGsN(RRRR$RBRC(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRNAsttointcBs&eZdZdddZdZRS(sconvert to an int or NoneR>cCstj||dS(N(R=RB(RAR?R@((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBOscCs |j|r|jSt|S(N(RDR@tint(RAR:((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRCRsN(RRRR$RBRC(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRPMst_BoundMethodProxycBsDeZdZdZdZdZdZdZdZRS(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 cCsyOyt|j|_Wntk r5d|_nX|j|_|j|_Wn,t k r}d|_||_d|_nXdS(N( Rtim_selftinstt TypeErrorR$RR tim_classtklassR"(RAtcb((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBes      cCs9|jj}|d}|dk r5||d>> 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 `_. cGsAt|rtdddnt|_d|_i|_dS(Ns1.3RsnCallbackRegistry no longer requires a list of callback types. Ignoring arguments. *args will be removed in 1.5i(tlenRtdictt callbackst_cidt _func_cid_map(RAR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBs      cCsiS(N((RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR\scCs|jdS(N(RB(RAtstate((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR^scCs|jj|t||j|kr8|j||S|jd7_|j}||j||<|jj|tt|}||j||<|S(si register *func* to be called when a signal *s* is generated func will be called i(Rlt setdefaultRRkRjRiRR(RAR:R tcidtproxy((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytconnects  cCsx|jjD]\}}y ||=Wntk r=qqXxP|jjD]?\}}x0|jD]"\}}||krg||=qgqgWqNWdSqWdS(sK disconnect the callback registered with callback id *cid* N(RjtitemstKeyErrorRl(RARot eventnamet callbackdtcategoryt functionsRtvalue((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt disconnects   cOsy||jkruxc|j|jD]K\}}|jdk ra|jdkra|j||=q#|||q#WndS(s process signal *s*. All of the functions registered to receive callbacks on *s* will be called with *\*args* and *\*\*kwargs* N(RjRrRTR$(RAR:RRRoRp((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytprocesss  !( RRRRBR\R^RqRyRz(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRgs%    t SchedulercBs2eZdZejZdZdZdZRS(s4 Base class for timeout and idle scheduling icCsGtjj|tj|_t|_tjd7_tj|_dS(Ni( t threadingtThreadRBR{tidR(t_stoppedtEventt _stopevent(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBs   cCs1|jr dS|jj|jt|_dS(N(RRtsettjoinR'(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytstop s    ( RRRR|tLocktidlelockR~RBR(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR{s   tTimeoutcBs eZdZdZdZRS(s? Schedule recurring events with a wait time in seconds cCs#tj|||_||_dS(N(R{RBtwaitR (RARR ((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRB,s  cCs`xY|jjs[|jj|jtjj|j|}tjj|sPqqWdS(N(RtisSetRR{RtacquireR trelease(RAtb((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytrun1s  (RRRRBR(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR(s tIdlecBs&eZdZdZdZdZRS(s3 Schedule callbacks when scheduler is idle g?cCstj|||_dS(N(R{RBR (RAR ((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBEs cCs`xY|jjs[|jjtjtjj|j|}tjj |sPqqWdS(N( RRRRtwaittimeR{RRR R(RAR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRIs  (RRRRRBR(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR<s t silent_listcBs>eZdZddZdZdZdZdZRS(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 cCs)||_|dk r%|j|ndS(N(ttypeR$textend(RARtseq((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBZs  cCsdt||jfS(Ns(RhR(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt__repr___scCs t|S(N(trepr(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt__str__bscCsi|jd6|d6S(NRR(R(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR\escCs"|d|_|j|ddS(NRR(RR(RARm((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR^is N( RRRR$RBRRR\R^(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRTs     cCs:d }|d d !}x |D]}|j|d }qW|S( s%remove latex formatting from mathtexts \mathdefaults\rms\cals\tts\its\t{t}iiR(s \mathdefaults\rms\cals\tts\its\RR(treplace(R:tremovetr((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt strip_mathns   tBunchcBs eZdZdZdZRS(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 cKs|jj|dS(N(RYtupdate(RAtkwds((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBscCsD|jj}ddjg|D]}d||j|f^qS(Ns Bunch(%s)s, s%s=%s(RYtiterkeysR(RAtkeystk((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRs (RRRRBR(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRws  cCs)tg|D]}|df^q jS(s'Return a list of unique elements of *x*i(RiR(txtval((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytuniquescCs'yt|Wntk r"tSXtS(s return true if *obj* is iterable(titerRUR(R'(tobj((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytiterables  cCsot|ttfrtStj|rT|jdkrM|jjdkrMtSt Sny |dWnt SXtS(s(Return True if *obj* looks like a stringitSUR( R tstrR9R'tmat isMaskedArraytndimtdtypetkindR((R((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytis_string_likes! cCsEt|stSt|r tSx|D]}t|s'tSq'WtS(s@ Returns true if *obj* is iterable and contains strings (RR(RR'(Rto((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytis_sequence_of_stringss    cCst|dot|jS(sCreturn true if *obj* looks like a file object with a *write* methodtwrite(R&tcallableR(R((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytis_writable_file_likescCst| ot| S(s;return true if *obj* is not string like and is not iterable(RR(R((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt is_scalarscCsy |dWntSXtSdS(s(return true if *obj* looks like a numberiN(R(R'(R((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt is_numlikes  trUcCst|r|jdrB|jdd}tj||}nQ|jdr|jdd}ddl}|j||}nt||}t}n*t|dr|}t }n t d|r||fS|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.gztURs.bz2iNtseeks%fname must be a string or file handle( RtendswithRtgziptopentbz2tBZ2FileR'R&R(R6(tfnametflagt return_openedtfhRtopened((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt to_filehandles"      cCst|pt| S(s;Return whether the given object is a scalar or string like.(RR(R((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytis_scalar_or_stringscCsddl}|jdr)|jd}n$tjjtjjtdd}tjj||}|rtjj|djd krd }nd }tjj|\}}|d krt j ||St ||Sn|SdS( s Return a sample data file. *fname* is a path relative to the `mpl-data/sample_data` directory. If *asfileobj* is `True` return a file object, otherwise just a file path. Set the rc parameter examples.directory to the directory where we should look, if sample_data files are stored in a location different than default (which is 'mpl-data/sample_data` at the same level of 'matplotlib` Python module files). If the filename ends in .gz, the file is implicitly ungzipped. iNsexamples.directorysmpl-datat sample_datas.csvs.xrcs.txtRtrbs.gz(s.csvs.xrcs.txt( R2R5tostpathRtdirnamet__file__tsplitexttlowerRR(Rt asfileobjR2trootRtmodetbasetext((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytget_sample_datas      ccsHxA|D]9}||r!|Vqxt||D] }|Vq1WqWdS(s Returns a generator of flattened nested containers For example: >>> from matplotlib.cbook import flatten >>> l = (('John', ['Hunter']), (1, 23), [[([42, (5, 23)], )]]) >>> print list(flatten(l)) ['John', 'Hunter', 1, 23, 42, 5, 23] By: Composite of Holger Krekel and Luther Blissett From: http://aspn.activestate.com/ASPN/Cookbook/Python/Recipe/121294 and Recipe 1.12 in cookbook N(tflatten(Rtscalarptitemtsubitem((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRs   tSortercBs>eZdZdZdddZddZeZeZRS(se Sort by attribute or item Example usage:: sort = Sorter() list = [(1, 2), (4, 8), (0, 3)] dict = [{'a': 3, 'b': 4}, {'a': 5, 'b': 2}, {'a': 0, 'b': 0}, {'a': 9, 'b': 9}] sort(list) # default sort sort(list, 1) # sort by index 1 sort(dict, 'a') # sort a list of dicts by key 'a' cCsA|jg|D]\}}||^q}|r=||(n|S(N(tsort(RAtdatatauxtinplacetjunktitresult((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt_helperAs  # icCs|dkr:|r%|j|}n|}|j|Sgtt|D]}||||f^qM}|j|||SdS(N(R$RtrangeRhR(RARt itemindexRRRR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytbyItemHs    3cCsKgtt|D]}t||||f^q}|j|||S(N(RRhtgetattrR(RARt attributenameRRR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt byAttributeUs8N( RRRRR$RRRRC(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR.s   tXlatorcBs)eZdZdZdZdZRS(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) cCs(tjdjttj|jS(s= Build re object based on the keys of the current dictionary t|(tretcompileRtmaptescapeR(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt _make_regexqscCs||jdS(s( Handler invoked for each regex *match* i(tgroup(RAtmatch((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRCuscCs|jj||S(s. Translate *text*, returns the modified text. (Rtsub(RAttext((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytxlatys(RRRRRCR(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR^s  icCsd}d}d}xp|jD]b}|jr|s@|}n|t|td}| sq||dkr||7}qqqW||d}|jdd}||d| S(s6 soundex module conforming to Odell-Russell algorithm t01230120022455012623010202RtAiit0(tuppertisalphatordR(R Rhtsoundex_digitstsndxtfctcR[((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytsoundex~s  R>cBsVeZdZdZdZdZdZdZdZdZ dZ RS( s0 Null objects always and reliably "do nothing." cOsdS(N((RARR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBscOs|S(N((RARR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRCscCsdS(NsNull()((RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRscCsdS(NsNull()((RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRscCsdS(Ni((RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt __nonzero__scCs|S(N((RAR ((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt __getattr__scCs|S(N((RAR Rx((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt __setattr__scCs|S(N((RAR ((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt __delattr__s( RRRRBRCRRRRRR(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR>s       icCsytjj|stjj|}x_tdt|dD]A}tjj|| }tjj|sAtj||qAqAWnWn>tk r}|j t j kstjj | rqnXdS(s make directory *newdir* recursively, and set *mode*. Equivalent to :: > mkdir -p NEWDIR > chmod MODE NEWDIR iN( RRtexiststsplitRRhRtmakedirstOSErrorterrnotEEXISTtisdir(tnewdirRtpartsRtthispartterr((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytmkdirss %tGetRealpathAndStatcBseZdZdZRS(cCs i|_dS(N(t_cache(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBscCs|jj|}|dkrtjj|}tjdkrH|}n!tj|}|j |j f}||f}||j|gt|D]-\}}||dD]}||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(RRRRR:((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytallpairsstmaxdictcBs eZdZdZdZRS(s A dictionary with a maximum size; this doesn't override all the relevant methods to contrain size, just setitem, so use with caution cCs#tj|||_g|_dS(N(RiRBtmaxsizet _killkeys(RARh((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBs  cCsf||krOt||jkr<||jd=|jd=n|jj|ntj|||dS(Ni(RhRhRiR!Rit __setitem__(RARtv((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRjs   (RRRRBRj(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRgs tStackcBs}eZdZd dZdZdZdZdZdZ dZ dZ d Z d Z d Zd ZRS(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 cCs|j||_dS(N(tcleart_default(RAtdefault((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBs cCs(t|js|jS|j|jSdS(s#return the current element, or NoneN(Rht _elementsRnt_pos(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRCscCs |jjS(N(Rpt__len__(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRrscCs|jj|S(N(Rpt __getitem__(RAR*((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRsscCs;t|j}|j|dkr4|jd7_n|S(s8move the position forward and return the current elementi(RhRpRq(RAR'((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytforwardscCs(|jdkr!|jd8_n|S(s5move the position back and return the current elementii(Rq(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytback scCsD|j|jd |_|jj|t|jd|_|S(s push object onto stack at current position - all elements occurring later than the current position are discarded i(RpRqR!Rh(RAR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytpushscCs.t|jsdS|j|jd|S(s0push the first element onto the top of the stackNi(RhRpRv(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pythomescCst|jdkS(Ni(RhRp(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytempty scCsd|_g|_dS(sempty the stackiN(RqRp(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRm#s cCs||jkrtdn|j}|jg}x7|D]/}||kra|j|q?|j|q?Wx|D]}|j|qyW|S(se raise *o* to the top of the stack and return *o*. *o* must be in the stack sUnknown element o(RpR6RmR!Rv(RARtoldtbubblestthiso((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytbubble(s     cCsf||jkrtdn|j}|jx-|D]%}||krQq9q9|j|q9WdS(s!remove element *o* from the stacksUnknown element oN(RpR6RmRv(RARRyR{((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyR<s    N(RRRR$RBRCRrRsRtRuRvRwRxRmR|R(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRls          cCs+x$tt|D]}|jqWdS(s empty a listN(R&Rhtpop(RR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytpopallIscCs|r:gt|D]}t|r||f^q}nCgt|D]$}t|rG|j|f^qG}|j}g|D]'\}}|j|dkr|^qS(su return all attributes of *o* which match string in match. if case is True require an exact case match. i(tdirRRtfind(RRtcaseR tnamestorig((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytfinddirOs 4$ cCs/tg|jD]\}}||f^qS(sAreverse the dictionary -- may lose data if values are not unique!(Rit iteritems(R[RRk((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt reverse_dict]scCs;tg|jD]$\}}||kr||f^qS(sn Return a dictionary that contains those keys that appear in both d and keys, with values from d. (RiR(R[RRRk((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt restrict_dictbscCs&ddlm}m}tj}tjdkry)|d|dtd|jj }Wnt k ryt dnXt |dj }ntjjdr y)|d |dtd|jj }Wnt k rt d nXt |d jd }ntjjd ry)|d |dtd|jj }Wnt k ret dnXt |d jd}ntjjdry/|dddd|gd|jj}Wnt k rt dnXt |j jdjdd}nt dtj|S(s%return the memory consumed by processi(tPopentPIPEtsunos5sps -p %d -o osztshelltstdouts?report_memory works on Sun OS only if the 'ps' program is foundtlinuxsps -p %d -o rss,szs>report_memory works on Linux only if the 'ps' program is founditdarwinsps -p %d -o rss,vszs?report_memory works on Mac OS only if the 'ps' program is founditwinttasklists/nhs/fis pid eq %dsFreport_memory works on Windows only if the 'tasklist' program is foundit,Rs%We don't have a memory monitor for %s(tmatplotlib.compat.subprocessRRRtgetpidRRR'Rt readlinesRtNotImplementedErrorRQR+t startswithRtreadR(RRRtpidta2tmem((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt report_memoryjsJ         +s0In safezip, len(args[0])=%d but len(args[%d])=%dcGsst|d}xVt|dD]D\}}t||kr!tt||dt|fq!q!Wt|S(s-make sure *args* are equal len before zippingii(RhReR6t _safezip_msgR%(RtNxRRP((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytsafezips *cCs*yt||SWntk r%tSXdS(s;return issubclass(x, klass) and return False on a TypeErrorN(t issubclassRUR((RRW((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytissubclass_safes cCsNtj|}y&tjj|dt}|jWntk rI|SX|S(NRZ(tnpt asanyarrayRtmasked_invalidR(t shrink_maskRU(Rtxm((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pytsafe_masked_invalids t MemoryMonitorcBsSeZddZdZdZddZdddZddd d ZRS( i NcCs5||_tj|jftj|_|jdS(N(t_nmaxRtzerostint32t_memRm(RAtnmax((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRBs cCsd|_t|_dS(Ni(t_nR(t _overflow(RA((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRms cCsJt}|j|jkr=||j|j<|jd7_n t|_|S(Ni(RRRRR'R(RAR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRCs   ic Cs&|j}t||}t||}td||}|d|d s ( ReRhRRRR RiRRtlisttindexttuple(RRtsteptnextRR(t outstream(sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt print_paths$   csr jdt|nd|t|<j|}xw|D]o}||kre|qF|ksFt|rqFqFt||krF|||||gqFqFWdS(Ns%d (RRhR$R~t get_referentsR (RR:tallt current_patht referentstreferent(RtgctobjectsRRRFt show_progress(sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRFs   sExamining: %r (RR`RR(RRRR((RRRRRRFRsJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyt print_cycless ! tGroupercBsPeZdZgdZdZdZdZdZdZdZ RS(s This class provides a lightweight way to group arbitrary objects together into disjoint sets when a full-blown graph data structure would be overkill. Objects can be joined using :meth:`join`, tested for connectedness using :meth:`joined`, and all disjoint sets can be retreived by using the object as an iterator. The objects being joined must be hashable and weak-referenceable. For example: >>> from matplotlib.cbook import Grouper >>> class Foo(object): ... def __init__(self, s): ... self.s = s ... def __repr__(self): ... return self.s ... >>> a, b, c, d, e, f = [Foo(x) for x in 'abcdef'] >>> grp = Grouper() >>> grp.join(a, b) >>> grp.join(b, c) >>> grp.join(d, e) >>> sorted(map(tuple, grp)) [(a, b, c), (d, e)] >>> grp.joined(a, b) True >>> grp.joined(a, c) True >>> grp.joined(a, d) False cCs;i}|_x'|D]}t|g|t|s.*(RRR tglobRtrecursive_removet removedirsR(RR((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyRs# c Gst|sdSt|ds1t|d r@tdnt|d}g}tgt|}xt|D]\}}t| rt|rt||krt||RRtget_realpath_and_statRRR+R7RR8R;R*RNRSRUR$R`RbRcRdRfRgRlR~RRRRRRRRRRRRRRRRt _linestylest ls_mapperRtlsR%R+R,R1R7R"tputmaskR9(((sJ/opt/xtal/ccp4-6.5-linux32/lib/python2.7/site-packages/matplotlib/cbook.pyts                    .  i    Sg         & 0    !   (   _     - 4Cz   N 2  . ,