#' @tags future_lapply
#' @tags sequential multisession multicore

library(futurize)

message("*** Options in nested parallelization ...")

options(future.debug = FALSE)
options(future.apply.debug = FALSE)
options(future.globals.maxSize = 2.50 * 1024^2)

for (cores in 1:availCores) {
  message(sprintf("Testing with %d cores ...", cores))
  options(mc.cores = cores)
  strategies <- supportedStrategies(cores)

  for (strategy1 in strategies) {
    for (strategy2 in strategies) {
      message(sprintf("- plan(list('%s', '%s')) ...", strategy1, strategy2))
      plan(list(outer = strategy1, inner = strategy2))

      v <- lapply(1:2, FUN = function(x) {
        outer <- data.frame(
          label   = "outer",
          idx     = x,
          pid     = Sys.getpid(),
          maxSize = getOption("future.globals.maxSize", NA_real_)
        )
        
        inner <- lapply(3:4, FUN = function(x) {
          data.frame(
            label   = "inner",
            idx     = x,
            pid     = Sys.getpid(),
            maxSize = getOption("future.globals.maxSize", NA_real_))
        }) |> futurize()
        inner <- do.call(rbind, inner)
        rbind(outer, inner)
      }) |> futurize()
      v <- do.call(rbind, v)
      print(v)
      stopifnot(!anyNA(v$maxSize))
    } ## for (strategy2 ...)
  } ## for (strategy1 ...)
} ## for (cores in ...)

message("*** Options in nested parallelization ... done")
