hb VSSKJrJrJrJrJrJrJr SSKJ r SSK J r SSK J r JrJr SSKJr \(aSSKJr /SQrS \\S \\4S jrS S S\S \\\\44Sjr\S.S S S\\S \\\\\\\\4444Sjjr\S.S\\\\\\\\444S\\S S4Sjjrg)) TYPE_CHECKINGDict ItemsViewIterableListSetUnion)msg)Errors)DocSpanToken) dot_to_dict)Language)requiresassignsscores retokenizesvaluesreturnc ^ [UVs0sHoS_M sn5n[[[S.nUR 5GHum nT S:XaUVs/sHoUR S5(dMUPM nnUVs/sHoUR S5(aMUPM nnU(a5[ [RRSRU5S95eT U;aBSRU 4SjU55n[ [RRT US 95e[U[5(d&[ [RRT S 95eUR 5GHlupQUS :XaUSLa5[ [RRS RT 5S 95eUR 5HMupU SLdM T S U3n U SSRU 53n [ [RRXS95e MUR!S 5(a)[ [R"RXUSSS95eUSLaCT SU3n U SSRU53n [ [RRXS95eUT n [%X5(aGMH[ [R&RT US95e GM U$s snfs snfs snf)aValidate component attributes provided to "assigns", "requires" etc. Raises error for invalid attributes and formatting. Doesn't check if custom extension attributes are registered, since this is something the user might want to do themselves later in the component. values (Iterable[str]): The string attributes to check, e.g. `["token.pos"]`. RETURNS (Iterable[str]): The checked attributes. T)doctokenspanrzspan.zspan._., )attrsc3V># UHoRT5(dMUv M g7fN) startswith).0aobj_keys M/home/james-whalen/.local/lib/python3.13/site-packages/spacy/pipe_analysis.py !validate_attrs..$s%QA<<;Paas) ))objr)attr_z{}._z._..)r(solutionN)r'r()rr rritemsr ValueErrorr E180formatjoinE181 isinstancedictE182E183endswithE184hasattrE185)rvaluedataobjsrr( span_attrs invalid_attrsext_attr ext_valuegoodbadr'r#s @r$validate_attrsrDs 8t 8 9D 5D**, f +1N64__W5M$6JN+5X:4__Y=W$:JX !3!3$))J:O!3!PQQ $  II%Q%QQMV[[//G=/QR R%&&V[[//W/=> > ;;=KDs{D=$V[[%7%7V]]7=S%7%TUU+0;;='H ,")#hZ8!%a(;'<=();););)TUU ,9 }}S!! !3!3Sb !3!RSSD !!D6*a01 !3!3!3!LMMw-C3%% !3!3d!3!KLL')'@ ME9 OXs K&K+.K+:K0K0nlprr(c//S.nURH\nURU5nXR;aUSRU5 XR;dMHUSRU5 M^ U$)aCheck which components in the pipeline assign or require an attribute. nlp (Language): The current nlp object. attr (str): The attribute, e.g. "doc.tensor". RETURNS (Dict[str, List[str]]): A dict keyed by "assigns" and "requires", mapped to a list of component names. )rrrr) pipe_names get_pipe_metarappendr)rEr(result pipe_namemetas r$ get_attr_inforM?sm02r#BF^^   + <<  9  $ $Y / == :  % %i 0 $ M)keysrOc 00S.n[5n[UR5GH upEURU5nUR UR 5 UR UR 5 UVs0sHow[XgS5_M snUSU'URSUnUR V s0sHoS_M n n U (a3UH-upURU 5n U R Hn SX'M M/ U R5V Vs/sHupU(aMU PM snn USU'GM UVs0sHo[X5_M snUS'U$s snfs sn fs snn fs snf)a@Print a formatted summary for the current nlp object's pipeline. Shows a table with the pipeline components and why they assign and require, as well as any problems if available. nlp (Language): The nlp object. keys (List[str]): The meta keys to show in the table. RETURNS (dict): A dict with "summary" and "problems". )summaryproblemsNrQFTrRr) set enumeraterGrHupdaterrgetattrpipeliner-rM)rErOrJ all_attrsinamerLkey prev_pipesannotr prev_name prev_pipe prev_meta fulfilledr(s r$ analyze_pipesrbQs[<F%IS^^,  &&'LP"QDS4(@#@D"Qy$\\"1% .2mm.sC%BSVV%BsrRc3$# UHov M g7frrls r$r%rns 4313sz Problems ()'z' requirements not met: rzNo problems found.N) r rh capitalizer-rTrtablesumanywarnr1rB) rcrOr[rgrQrYnmvbody n_problemsrZproblems r$print_pipe_analysisr~tsEKK#$; Dd!Cds.."2d!C DF!),224G>G>P Q>PFQQ , + 1Q + ,>PD QIId44@CXj%9%@%@%BCCJ 4hz*113 444 j A./%j1779MDw1TF":499W;M:NOP: %&"D+ QsE8F = E=F =F )typingrrrrrrr wasabir errorsr tokensr rrutilrlanguager DEFAULT_KEYSstrrDrMrbr~rprNr$rsMMM$$"@ +8C=+Xc]+\zc49n1E&+7   "3i  #tCtCy$//0 01 L#'3S%S 4"8899:' s)' 'rN