Fix parallel computing in as.sir.data.frame

Six bugs in parallel = TRUE mode:

1. PSOCK workers (Windows / R < 4.0) never had AMR loaded, so every
   exported/AMR function call failed. Added clusterEvalQ(cl, library(AMR))
   with a graceful fallback to sequential when the package cannot be loaded
   (e.g. dev-only load_all() environments).

2. clusterExport'd AMR_env was a frozen serialised copy; as.sir() on the
   worker wrote to AMR:::AMR_env while run_as_sir_column read from the stale
   copy, so the captured log was always wrong. Fixed by resolving AMR_env
   dynamically via get("AMR_env", envir = asNamespace("AMR")) inside the
   worker function, and removing AMR_env from clusterExport.

3. In the fork-based (mclapply) path each worker inherited the parent's full
   sir_interpretation_history. Capturing the whole log then combining across
   workers duplicated every pre-existing entry. Fixed by recording the log
   row count before the as.sir() call and slicing only the new rows
   afterwards.

4. run_as_sir_column used non-exported internals (%pm>%, pm_pull,
   as.sir.default) that are inaccessible on PSOCK workers after library(AMR).
   Replaced pipe chains with direct as.mic(as.character(x[, col, drop=TRUE]))
   and as.disk(...) calls, and changed as.sir.default() to as.sir() which
   dispatches correctly via S3.

5. With info = TRUE, worker forks printed per-column progress messages
   simultaneously, producing garbled interleaved console output. Per-column
   messages are now suppressed inside workers (effective_info = FALSE) while
   the outer "Running in parallel" / "DONE" messages still appear.

6. Malformed Unicode escape \u00a (3 hex digits) in the "DONE" banner was
   parsed by R as U+00AD (soft hyphen) + "ONE"; corrected to  .

https://claude.ai/code/session_012DXCXbZUC54Zij1z9bFiHR

DESCRIPTION

@@ -1,6 +1,6 @@
 Package: AMR
-Version: 3.0.1.9048
-Date: 2026-04-22
+Version: 3.0.1.9050
+Date: 2026-04-24
 Title: Antimicrobial Resistance Data Analysis
 Description: Functions to simplify and standardise antimicrobial resistance (AMR)
   data analysis and to work with microbial and antimicrobial properties by