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2024 Dec 11
2
Cores hang when calling mcapply
..."column1" = string() ) ) |> as_tibble() keeptabs <- split(temp, temp$ID_Key) I used a multicore framework to distribute the `sum` functions across each Key_ID when a multicore argument is enabled. ?????? if(isTRUE(multicore)){ output <- mclapply(1:length(modtabs), function(i) crewjanitormakeclean(modtabs[[i]],c("string_columns_2","string_columns_1")), mc.cores = numcores) output <- mclapply(1:length(modtabs), function(i) mass_pivot_wider(modtabs[[i]],"string_columns_1","col_1_name_"), mc.cores = numcores)...