j*dZddlmZddlZddlZddlmZddlmZm Z ddl m Z ddl m Z ddlmZdd lmZdd lmZdd lmZdd lmZmZmZdd lmZmZddlmZddZddZ GddeeeZ!GddeeeZ"Gdde"Z#y)z-LLM Chains for evaluating question answering.) annotationsN)Sequence)AnyOptional) Callbacks)BaseLanguageModel)PromptTemplate) ConfigDict)override)LLMChain)CONTEXT_PROMPT COT_PROMPTPROMPT) LLMEvalChainStringEvaluator)RUN_KEYctjd|jtj}|rF|j dj dk(ry|j dj dk(ry |jj djtjddtj}|j dk(ry|j dk(ry|jj d jtjddtj}|j dk(ry|j dk(ry y#t$rYywxYw) Nzgrade:\s*(correct|incorrect)CORRECT)rr INCORRECT)rrr) researchstrip IGNORECASEgroupuppersplit translatestr maketransstring punctuation IndexError)textmatch first_word last_words l/var/www/html/Fitness-lenito-AI-main/venv/lib/python3.12/site-packages/langchain/evaluation/qa/eval_chain.py _get_scorer+sC II5tzz|R]] SE ;;q>   !Y . ;;q>   ![ 0! JJL    # - -cmmBFDVDV.W X      *     ,! JJL UWR  Ys}}RV-?-?@ A  ??  ) ??  +! ,     s&=A&E5$E58A&E5E55 FFc^|j}t|}|d\}}n|\}}|||dS)zParse the output text. Args: text (str): The output text to parse. 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Returns: ContextQAEvalChain: the loaded QA eval chain. rRr<)r rr>rSrTrXs r*r[zContextQAEvalChain.from_llms1,)>   (4s64V44r2r\ct|Dcgc]\}}|||||||d} }}|j| |Scc}}w)r_rMrrOr\ra) rDrdrerf context_keyrhr]rirjrks r*rlzContextQAEvalChain.evaluatesi"(1  2 7 !.";/%a.8  2  zz&Iz66 rmcft||j}t|vr|t|t<|Srorprqs r*rsz"ContextQAEvalChain._prepare_output(rtr2Fruc B||||d||}|j|S)Nrrzr{r|s r*r~z$ContextQAEvalChain._evaluate_strings.s7$$   - ##F++r2cpK|j|||d||d{}|j|S7w)Nrrrr|s r*rz%ContextQAEvalChain._aevaluate_stringsDsHzz"yJO-"   ##F++  rr)rTr rNonerro)rSrrTrrXrrrr)rdrrerrfr!rr!rhr!r]rrrrr)rrrrrr?rrHrKr rrrEr[rlrsr r~rr<r2r*rrs=L""%%,05 5)5 5  55:$$& 7 $77 7 7  7  77 7,  $(##!&,,! ,  ,  ,,, ,,* $(##!&,,! ,  ,  ,,, ,,r2rcXeZdZdZeddZeddZe d d dZy) CotQAEvalChainz=LLM Chain for evaluating QA using chain of thought reasoning.cyr;r<r=s r*r?z!CotQAEvalChain.is_lc_serializableZr@r2cy)NzCOT Contextual Accuracyr<rCs r*rEzCotQAEvalChain.evaluation_name^s(r2Nc N|xst}|j||d||d|S)zLoad QA Eval Chain from LLM.rRr<)rrrs r*r[zCotQAEvalChain.from_llmbs1%:   (4s64V44r2rrro)rSrrTrrXrrr) rrrrrr?rrEr[r<r2r*rrWsjG)),0 5  5) 5 5  5 5r2r)r&r!rzOptional[tuple[str, int]])r&r!rr)$r __future__rrr#collections.abcrtypingrrlangchain_core.callbacksrlangchain_core.language_modelsrlangchain_core.promptsr pydanticr typing_extensionsr langchain.chains.llmr #langchain.evaluation.qa.eval_promptr rrlangchain.evaluation.schemarrlangchain.schemarr+r1r4rrr<r2r*rsr3" $ .<1&)RRE$:,I,(O\I,X,?L,D5'5r2