UB/jSrSSKJr SSKrSSKJr SSKJrJr SSK J r SSK J r J r Jr SSKJr S S S jjrg) uCamelot flow: pull cell grids straight from the PDF. Runs both Camelot flavors over the whole document, drops only the content-empty shells lattice leaves on whitespace-aligned pages, and tags each surviving grid with an is-table verdict. The verdict is METADATA: it is recorded for later cross-reference, never used to drop a candidate — deciding what is a real table is the visual flow's job, not Camelot's. ) annotationsN)Path)ListOptional)TableClassifier)CamelotCandidateis_content_emptyrun_camelot_flavors_parallel) CamelotTablec^^^# [R"[U5IShvN nUVs/sH!n[UR5(aMUPM# nnTcUVs/sH n[ USS9PM sn$[R "U5mSUU4Sjjm[[R"U4SjU56IShvN 5$Ns snfs snfN7f)zExtract Camelot grids from `source`, tagging each with an is-table verdict. With no classifier, the grids are returned untagged (`classification` None). The content-empty shells are always dropped; nothing else is. N candidateclassificationc># TIShvN TRUR5IShvN nSSS5IShvN [UWS9$NAN N!,IShvN (df  N'=f7f)Nr )classifymarkdownr )rverdict classifier semaphores @/home/mande/repo/quber/src/quber/core/extractors/dual/camelot.pytagrun_camelot_flow..tag+sK9&// 0B0BCCG9iHHC999sQA,A A,AAA A,AA,AA,A)A  A)%A,c34># UH nT"U5v M g7f)N).0crs r #run_camelot_flow..0s&MM!!+.III gnn&>O FN>s?CCCCC CC 2AC9C: C C)N)r%rrzOptional[TableClassifier]r&intrzList[CamelotTable])__doc__ __future__rr pathlibrtypingrrquber.agents.classifierr%quber.core.extractors.camelot.acquirerr r !quber.core.extractors.dual.modelsr r)rrr4s[#!3 ; -1? ?)?? ?r3