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Fix as.sir() data.frame: preserve already-<sir> columns, exclude metadata
Issue #278: two related bugs in the column-detection / type-assignment pipeline. Bug 1 – already-<sir> columns deleted on re-run Line 886 excluded already-sir columns from the type assignment (they stayed type "") causing the result loop to do x[,col] <- NULL, deleting them. Fix: drop the !is.sir() guard so all untyped columns fall through to type "sir" and are re-processed correctly. Bug 2 – metadata columns treated as antibiotics as.ab("patient") -> OXY, as.ab("ward") -> PRU. The column detector accepted any column whose name matched an antibiotic code, regardless of content. Fix: for name-matched columns that do not already carry an AMR class, also verify content looks like AMR data (all_valid_mics, all- numeric, or any SIR-like string). all_valid_disks() is intentionally avoided here because it strips letters from strings (as.disk("Pt_1")==1). Also adds tools/benchmark_parallel.R: a standalone script that times sequential vs parallel as.sir() across n=20/200/2000/20000 rows and saves a ggplot2 PNG to tools/benchmark_parallel.png. https://claude.ai/code/session_012DXCXbZUC54Zij1z9bFiHR
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* Fixed SIR and MIC coercion of combined values, e.g. `as.sir("<= 0.002; S") ` or `as.mic("S; 0.002")` (#252)
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* Fixed translation of foreign languages in `sir_df()` (#272)
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* Fixed BRMO classification by including bacterial complexes (#275)
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* Fixed `as.sir()` for data frames silently deleting columns whose AB class was already `<sir>` when called a second time (re-running on already-converted data) (#278)
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* Fixed `as.sir()` for data frames incorrectly treating metadata columns (e.g. `patient`, `ward`) as antibiotic columns when their names coincidentally matched an antibiotic code; column content is now validated against AMR data patterns before inclusion
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### Updates
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* Extensive `cli` integration for better message handling and clickable links in messages and warnings (#191, #265)
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