tj  dZddlmZddlmZmZddlmZddlm Z ddl m Z ddl m Z ddlmZdd lmZdd lmZdd lmZdd lmZdd lmZmZmZGddeZejdddde de dededzdedef dZ ejejdddddddddd de de de deded e dzd!e dzd"e dzdedzd#e!d$ed%e!dzdedefd&Z"ejej#dd'ddd(de d)e d*e ded+ed,e dzdedzdedefd-Z$ d1de d/ededzdede f d0Z%dS)2zLoad summarizing chains.)Mapping)AnyProtocol) Callbacks)BaseLanguageModel)BasePromptTemplate)BaseCombineDocumentsChain)MapReduceDocumentsChain)ReduceDocumentsChain)RefineDocumentsChain)StuffDocumentsChain)LLMChain)map_reduce_promptrefine_prompts stuff_promptc&eZdZdZdededefdZdS)LoadingCallablez2Interface for loading the combine documents chain.llmkwargsreturnc dS)z-Callable to load the combine documents chain.N)selfrrs f/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/langchain_classic/chains/summarize/chain.py__call__zLoadingCallable.__call__sN)__name__ __module__ __qualname____doc__rrr rrrrrrsJ<<< << # <<<<<DsM   I #K  L @2=    #> S// ! $%+ ,!&#  $B   2 7!/1  # 5@       rexisting_answer)question_prompt refine_promptr#initial_response_name refine_llmr$r@rArBrCc vt|||}|p|} t| ||} td|| |||d|S)Nr&)initial_llm_chainrefine_llm_chainr#rBr$r)rr ) rr@rAr#rBrCr$r initial_chain _refine_llm refine_chains r_load_refine_chainrJsk_gNNNM#K M7SSSL  '%53       rstuff chain_typec tttd}||vr)d|d|}t ||||fd|i|S)aLoad summarizing chain. Args: llm: Language Model to use in the chain. chain_type: Type of document combining chain to use. Should be one of "stuff", "map_reduce", and "refine". verbose: Whether chains should be run in verbose mode or not. Note that this applies to all chains that make up the final chain. **kwargs: Additional keyword arguments. Returns: A chain to use for summarizing. )rK map_reducerefinezGot unsupported chain type: z. Should be one of r$)r(r>rJkeysr7)rrLr$rloader_mappingr<s rload_summarize_chainrRs(#,$55N '' 8: 8 8 . 3 3 5 5 8 8 oo %>* %c E E7 Ef E EEr)rKN)&r collections.abcrtypingrrlangchain_core.callbacksrlangchain_core.language_modelsrlangchain_core.promptsr/langchain_classic.chains.combine_documents.baser 5langchain_classic.chains.combine_documents.map_reducer 1langchain_classic.chains.combine_documents.reducer 1langchain_classic.chains.combine_documents.refiner 0langchain_classic.chains.combine_documents.stuffr langchain_classic.chains.llmr"langchain_classic.chains.summarizerrrrPROMPTstrboolr(intr> REFINE_PROMPTrJrRrrrrds###### ......<<<<<<555555UUUUUUSRRRRRRRRRRRPPPPPP111111<<<<