@hnSSKJr SSKJr "SS\\\\45rSr\"\/SQS9r Sr \"\ /S QS9r g ) )BaseOutputParser)PromptTemplatecF\rSrSr%SrSr\\S'S\S\\\ 44Sjr Sr g ) FinishedOutputParserz4Output parser that checks if the output is finished.FINISHEDfinished_valuetextreturnc|UR5nURU;nURURS5U4$)N)stripr replace)selfr cleanedfinisheds V/var/www/html/shao/venv/lib/python3.13/site-packages/langchain/chains/flare/prompts.pyparseFinishedOutputParser.parse s9**,&&'1t22B7AAN) __name__ __module__ __qualname____firstlineno____doc__r str__annotations__tupleboolr__static_attributes__rrrrrs1>$NC$6B#B%T "2BrrzRespond to the user message using any relevant context. If context is provided, you should ground your answer in that context. Once you're done responding return FINISHED. >>> CONTEXT: {context} >>> USER INPUT: {user_input} >>> RESPONSE: {response}) user_inputcontextresponse)templateinput_variablesa&Given a user input and an existing partial response as context, ask a question to which the answer is the given term/entity/phrase: >>> USER INPUT: {user_input} >>> EXISTING PARTIAL RESPONSE: {current_response} The question to which the answer is the term/entity/phrase "{uncertain_span}" is:)r"current_responseuncertain_spanN) langchain_core.output_parsersrlangchain_core.promptsrrrr rPROMPT_TEMPLATEPROMPT"QUESTION_GENERATOR_PROMPT_TEMPLATEQUESTION_GENERATOR_PROMPTrrrr/s]:1 B+E#t),<= B  9  &U"+ /Hr