_jV @ddlmZmZmZmZmZmZmZddlm Z ddl m Z ddl m Z mZmZddlmZerddlmZgdZd eed eefd Zd d ded eeeeffdZedd d deed eeeeeeeeffffdZeddeeeeeeeefffdeed dfdZy)) TYPE_CHECKINGDict ItemsViewIterableListSetUnion)msg)Errors)DocSpanToken) dot_to_dict)Language)requiresassignsscores retokenizesvaluesreturnc  ttj|d}ttt d}|j D]\ } dk(r||Dcgc]}|jds|}}|Dcgc]}|jdr|}}|r8ttjjdj| |vrDdj fd|D}ttjj | t|ts)ttjj |j D]o\}}|d k(r|dur8ttjjd j  |j D]P\}} | dus d |} | ddj| } ttj j| | |j#d r-ttj$j||dd|durG d|} | ddj|} ttj j| | | } t'| |rHttj(j ||Scc}wcc}w)aValidate component attributes provided to "assigns", "requires" etc. Raises error for invalid attributes and formatting. Doesn't check if custom extension attributes are registered, since this is something the user might want to do themselves later in the component. values (Iterable[str]): The string attributes to check, e.g. `["token.pos"]`. RETURNS (Iterable[str]): The checked attributes. T)doctokenspanrzspan.zspan._., )attrsc3FK|]}|js|ywN) startswith).0aobj_keys ]/home/spazio/kingdom_calls/work5/transenv/lib/python3.12/site-packages/spacy/pipe_analysis.py z!validate_attrs..$s%QA1<<;Pa%Qs!!)objr)attr_z{}._z._..)r'solutionN)r&r')rdictfromkeysr rritemsr ValueErrorr E180formatjoinE181 isinstanceE182E183endswithE184hasattrE185)rdataobjsrr' span_attrs invalid_attrsvalueext_attr ext_valuegoodbadr&r#s @r$validate_attrsrDs t}}VT2 3D 5D**,M f +1N4T__W5M$NJN+5X4T__Y=W$XJX !3!3$))J:O!3!PQQ $  II%Q%QQMV[[//G=/QR R%&V[[//W/=> > ;;= MKD%s{D=$V[[%7%7V]]7=S%7%TUU+0;;=V'Hi ,")#hZ8!%a(;'<=(););t);)TUU V }}S! !3!3Sb !3!RSSD !!D6*a01 !3!3t!3!LMMw-C3% !3!3d!3!KLL' MM@ M;OXsK*K4K Knlprr'cggd}|jD]X}|j|}||jvr|dj|||jvsE|dj|Z|S)a%Check which components in the pipeline assign or require an attribute. nlp (Language): The current nlp object. attr (str): The attribute, e.g. "doc.tensor". RETURNS (Dict[str, List[str]]): A dict keyed by "assigns" and "requires", mapped to a list of component names. )rrrr) pipe_names get_pipe_metarappendr)rEr'result pipe_namemetas r$ get_attr_inforM?sv02r#BF^^1   + 4<<  9  $ $Y / 4== :  % %i 0 1 M)keysrOc iid}t}t|jD]\}}|j|}|j |j |j |j |Dcic]}|t||dc}|d|<|jd|}tj|j d} | r1|D],\} } |j| } | j D]} d| | < .| jD cgc] \} }|r |  c}} |d|<|Dcic]}|t||c}|d<|Scc}wcc}} wcc}w)aXPrint a formatted summary for the current nlp object's pipeline. Shows a table with the pipeline components and why they assign and require, as well as any problems if available. nlp (Language): The nlp object. keys (List[str]): The meta keys to show in the table. RETURNS (dict): A dict with "summary" and "problems". )summaryproblemsNrQFTrRr) set enumeraterGrHupdaterrgetattrpipeliner,r-r.rM)rErOrJ all_attrsinamerLkey prev_pipesr prev_name prev_pipe prev_metaannot fulfilledr's r$ analyze_pipesrbQsc<F%IS^^, 4  &&'LP"QS3c4(@#@"Qy$\\"1% ==6 (2 +$ 9--i8 &..+E&*HUO+ + +3..*:$ &eY)E$ z4  CLL$t]355LF7O M#R$ Ms6E E E (EanalysisNc tjdddg|Dcgc]}|jc}}|dj}t |Dcgc]*\}\}}||g|j Dcgc]}|c},} }}}}tj | |ddtd|dj D} td |dj Drbtjd | d |djD]2\} } | s tjd | d dj| 4ytjdycc}wcc}wcc}}}}w)zPrint a formatted version of the pipe analysis produced by analyze_pipes. analysis (Dict[str, Union[List[str], Dict[str, List[str]]]]): The analysis. keys (List[str]): The meta keys to show in the table. zPipeline Overview# ComponentrQT)headerdivider multilinec32K|]}t|ywr)lenr!ps r$r%z&print_pipe_analysis..sCSVCsrRc3 K|]}|ywrrls r$r%z&print_pipe_analysis..s 41 4s z Problems ()'z' requirements not met: rzNo problems found.N) r rh capitalizer.rTrtablesumanywarnr2rB) rcrOr[rgrQrYnmvbody n_problemsrZproblems r$print_pipe_analysisr}tsIKK#$; Dd!Cs#.."2!C DF!),224G>G>P Q QFQQ , +1Q+ , QD QIId644@CXj%9%@%@%BCCJ 4hz*113 44 j A./%j1779 QMD'1TF":499W;M:NOP Q %&"D+ QsE& E0 ; E+E0 +E0 )typingrrrrrrr wasabir errorsr tokensr rrutilrlanguager DEFAULT_KEYSstrrDrMrbr}rorNr$rsMMM$$"@ +8C=+Xc]+\zc49n1E&+7   "3i  #tCtCy$//0 01 L#'3S%S 4"8899:' s)' 'rN