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Migrate parallel computing in as.sir() from parallel:: to future/future.apply (#280)
* Migrate parallel computing in as.sir() from parallel:: to future/future.apply Replace parallel::mclapply() and parallel::parLapply() with future.apply::future_lapply(), enabling transparent support for any future backend (multisession, multicore, mirai_multisession, cluster) on all platforms including Windows. When parallel = TRUE the function now: (1) respects an active future::plan() set by the user without overriding it on exit, or (2) sets a temporary multisession plan with parallelly::availableCores() and tears it down on exit. The max_cores argument controls worker count only when no user plan is active. future and future.apply are added to Suggests in DESCRIPTION. https://claude.ai/code/session_01M1Jvf2Miu6JL4TQrEh1wS8 * Require user plan() for parallel=TRUE; fix as_wt_nwt false-positive warnings - parallel = TRUE now errors with a cli-styled message if no non-sequential future::plan() is active; users must call e.g. future::plan(future::multisession) before using parallel = TRUE (breaking change) - Removed auto-setup/teardown of multisession plan inside as.sir(), which was slow and caused version-mismatch issues with load_all() workflows - Added as_wt_nwt to the exclusion list in as_sir_method() to suppress false-positive "no longer used" warnings during parallel runs - Fixed pieces_per_col row-batch calculation to use n_workers (total available workers from the active plan) instead of n_cores (workers clipped to n_cols), so row-batch mode activates correctly when n_cols < n_workers - Updated @param parallel and @param max_cores roxygen docs; regenerated man/as.sir.Rd - Updated sequential-mode hint to instruct users to set plan() first https://claude.ai/code/session_01M1Jvf2Miu6JL4TQrEh1wS8 * fix parallel * fix parallel * unit tests * unit tedts --------- Co-authored-by: Claude <noreply@anthropic.com>
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@@ -1,6 +1,6 @@
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Package: AMR
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Version: 3.0.1.9052
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Date: 2026-04-25
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Version: 3.0.1.9053
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Date: 2026-04-27
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Title: Antimicrobial Resistance Data Analysis
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Description: Functions to simplify and standardise antimicrobial resistance (AMR)
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data analysis and to work with microbial and antimicrobial properties by
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@@ -37,17 +37,18 @@ Authors@R: c(
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person(given = c("Casper", "J."), family = "Albers", role = "ths", comment = c(ORCID = "0000-0002-9213-6743")),
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person(given = c("Corinna"), family = "Glasner", role = "ths", comment = c(ORCID = "0000-0003-1241-1328")))
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Depends: R (>= 3.0.0)
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Suggests:
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Suggests:
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cleaner,
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cli,
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crayon,
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curl,
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data.table,
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dplyr,
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future,
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future.apply,
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ggplot2,
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knitr,
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openxlsx,
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parallelly,
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pillar,
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progress,
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readxl,
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