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lib2to3
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btm_utils.pyo
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� {fc@s�dZddlmZddlmZmZddlmZmZeZ eZ ejZeZ dZdZdZdefd ��YZd d �Zd�Zd�Zd S(s0Utility functions used by the btm_matcher modulei(tpytree(tgrammarttoken(tpattern_symbolstpython_symbolsi����i����i����tMinNodecBsAeZdZddd�Zd�Zd�Zd�Zd�ZRS(s�This class serves as an intermediate representation of the pattern tree during the conversion to sets of leaf-to-root subpatternscCsC||_||_g|_t|_d|_g|_g|_dS(N( ttypetnametchildrentFalsetleaftNonetparenttalternativestgroup(tselfRR((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyt__init__s cCst|j�dt|j�S(Nt (tstrRR(R((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyt__repr__scCsU|}g}xB|rP|jtkr�|jj|�t|j�t|j�kr|t|j�g}g|_|j}qq�|j}d}Pn|jt kr|j j|�t|j �t|j�kr�t|j �}g|_ |j}qq|j}d}Pn|jtj kr4|jr4|j|j�n|j|j�|j}qW|S(s�Internal method. Returns a characteristic path of the pattern tree. This method must be run for all leaves until the linear subpatterns are merged into a singleN(RtTYPE_ALTERNATIVESR tappendtlenRttupleRRt TYPE_GROUPRtget_characteristic_subpatternttoken_labelstNAMER(Rtnodetsubp((s)/usr/lib64/python2.7/lib2to3/btm_utils.pytleaf_to_root!s8 cCs1x*|j�D]}|j�}|r |Sq WdS(s�Drives the leaf_to_root method. The reason that leaf_to_root must be run multiple times is because we need to reject 'group' matches; for example the alternative form (a | b c) creates a group [b c] that needs to be matched. Since matching multiple linear patterns overcomes the automaton's capabilities, leaf_to_root merges each group into a single choice based on 'characteristic'ity, i.e. (a|b c) -> (a|b) if b more characteristic than c Returns: The most 'characteristic'(as defined by get_characteristic_subpattern) path for the compiled pattern tree. N(tleavesR(RtlR((s)/usr/lib64/python2.7/lib2to3/btm_utils.pytget_linear_subpatternKsccsEx-|jD]"}x|j�D]}|VqWq W|jsA|VndS(s-Generator that returns the leaves of the treeN(RR(Rtchildtx((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyR`s N( t__name__t __module__t__doc__RRRRR!R(((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyRs * c Csd}|jtjkr(|jd}n|jtjkr�t|j�dkrht|jd|�}q�tdt �}x�|jD]P}|jj |�dr�q�nt||�}|dk r�|jj|�q�q�Wn$|jtjkrxt|j�dkr_tdt �}x9|jD].}t||�}|r|jj|�qqW|jsud}quq�t|jd|�}n�|jtjkr�t|jdtj�r�|jdjdkr�t|jd|�St|jdtj�r�|jdjdks=t|j�dkrAt|jdd�rA|jdjdkrAdSt}d}d}t}d} t} x�|jD]�}|jtjkr�t}|}n<|jtjkr�t}|} n|jtjkr�|}nt|d�ro|jdkrot} qoqoW| rA|jd}t|d�rN|jdkrN|jd }qNn |jd}|jtjkr�|jd kr�tdt�}qTtt|j�r�tdtt|j��}qTtdtt|j��}n�|jtjkr0|jjd�}|tkrtdt|�}qTtdtjd|�}n$|jtjkrTt||�}n|r�| jdjd kryd}q�| jdjdkr�q�t �n|r�|dk r�xI|jdd!D]4}t||�}|dk r�|jj|�q�q�Wq�n|r||_!n|S(s� Internal function. Reduces a compiled pattern tree to an intermediate representation suitable for feeding the automaton. This also trims off any optional pattern elements(like [a], a*). iiRit(t[tvaluet=itanyt'Rt*t+i����N("RRtsymstMatcherRtAlternativesRtreduce_treeRRtindexRtAlternativeRtUnitt isinstanceRtLeafR)thasattrtTrueR tDetailstRepeaterRRtTYPE_ANYtgetattrtpysymstSTRINGtstripttokenstNotImplementedErrorR( RRtnew_nodeR"treducedR tdetails_nodetalternatives_nodethas_repeatert repeater_nodethas_variable_namet name_leafR((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyR2hs� cs,t|t�s|St|�dkr-|dSg}g}dddddg�g}d�x�|D]�}tt|d ���ratt|�fd ���r�|j|�q�tt|�fd���r�|j|�q�|j|�qaqaW|r�|}n|r |}n|r|}nt|dt�S( s�Picks the most characteristic from a list of linear patterns Current order used is: names > common_names > common_chars iitintfortiftnotRs[]().,:cSst|�tkS(N(RR(R#((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyt<lambda>�tcst|t�o|�kS(N(R6R(R#(tcommon_chars(s)/usr/lib64/python2.7/lib2to3/btm_utils.pyRORPcst|t�o|�kS(N(R6R(R#(tcommon_names(s)/usr/lib64/python2.7/lib2to3/btm_utils.pyRORPtkey(R6tlistRR+trec_testRtmax(tsubpatternstsubpatterns_with_namestsubpatterns_with_common_namestsubpatterns_with_common_charst subpattern((RQRRs)/usr/lib64/python2.7/lib2to3/btm_utils.pyR�s2 ccsWxP|D]H}t|ttf�rDx*t||�D]}|Vq2Wq||�VqWdS(sPTests test_func on all items of sequence and items of included sub-iterablesN(R6RTRRU(tsequencet test_funcR#ty((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyRUs N(R&RPRtpgen2RRtpygramRRR/R>topmapRARR<RRtobjectRRR2RRU(((s)/usr/lib64/python2.7/lib2to3/btm_utils.pyt<module>s X� %
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