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/usr/share/doc/r-cran-future/tests/multisession.R is in r-cran-future 1.7.0-1ubuntu1.

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source("incl/start.R")
library("listenv")
plan(multisession)

message("*** multisession() ...")

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

  ## No global variables
  f <- multisession({
    42L
  })
  print(f)
  stopifnot(inherits(f, "ClusterFuture") || (inherits(f, "SequentialFuture") && f$lazy))

  print(resolved(f))
  y <- value(f)
  print(y)
  stopifnot(y == 42L)


  ## A global variable
  a <- 0
  f <- multisession({
    b <- 3
    c <- 2
    a * b * c
  })
  print(f)


  ## A multisession future is evaluated in a separate
  ## R session process.  Changing the value of a global
  ## variable should not affect the result of the
  ## future.
  a <- 7  ## Make sure globals are frozen
  v <- value(f)
  print(v)
  stopifnot(v == 0)


  message("*** multisession() with globals and blocking")
  x <- listenv()
  for (ii in 1:4) {
    message(sprintf(" - Creating multisession future #%d ...", ii))
    x[[ii]] <- multisession({ ii })
  }
  message(sprintf(" - Resolving %d multisession futures", length(x)))
  v <- sapply(x, FUN = value)
  stopifnot(all(v == 1:4))


  message("*** multisession() and errors")
  f <- multisession({
    stop("Whoops!")
    1
  })
  print(f)
  v <- value(f, signal = FALSE)
  print(v)
  stopifnot(inherits(v, "simpleError"))

  res <- try(value(f), silent = TRUE)
  print(res)
  stopifnot(inherits(res, "try-error"))

  ## Error is repeated
  res <- try(value(f), silent = TRUE)
  print(res)
  stopifnot(inherits(res, "try-error"))


  message("*** multisession() - too large globals ...")
  ooptsT <- options(future.globals.maxSize = object.size(1:1014))

  limit <- getOption("future.globals.maxSize")
  cat(sprintf("Max total size of globals: %g bytes\n", limit))

  for (workers in unique(c(1L, availableCores()))) {
    message("Max number of sessions: ", workers)

    ## A large object
    a <- 1:1014
    yTruth <- sum(a)
    size <- object.size(a)
    cat(sprintf("a: %g bytes\n", size))
    f <- multisession({ sum(a) }, workers = workers)
    print(f)
    rm(list = "a")
    v <- value(f)
    print(v)
    stopifnot(v == yTruth)


    ## A too large object
    a <- 1:1015
    yTruth <- sum(a)
    size <- object.size(a)
    cat(sprintf("a: %g bytes\n", size))
    res <- try(f <- multisession({ sum(a) }, workers = workers), silent = TRUE)
    rm(list = "a")
    stopifnot(inherits(res, "try-error"))
  }

  ## Undo options changed in this test
  options(ooptsT)

  message("*** multisession() - too large globals ... DONE")


  message("*** multisession(..., workers = 1L) ...")

  a <- 2
  b <- 3
  yTruth <- a * b

  f <- multisession({ a * b }, workers = 1L)
  rm(list = c("a", "b"))

  v <- value(f)
  print(v)
  stopifnot(v == yTruth)

  message("*** multisession(..., workers = 1L) ... DONE")

  message("*** multisession(..., gc = TRUE) ...")
  plan(multisession, workers = 2L)
  
  f <- future({ gc() })
  v <- value(f)
  print(v)

  f <- future({ integer(10e6) })
  v <- value(f)
  str(v)

  f <- future({ gc() })
  v <- value(f)
  print(v)

  f <- future({ integer(10e6) }, gc = TRUE)
  v <- value(f)
  str(v)

  f <- future({ gc() })
  v <- value(f)
  print(v)

  message("*** multisession(..., gc = TRUE) ... TRUE")

  message("*** multisession(...) - stopping with plan() change ...")
  
  plan(multisession, workers = 2L)
  f <- future(1L)
  cl <- ClusterRegistry("get")
  stopifnot(inherits(cl, "cluster"), length(cl) >= 1L)

  plan(sequential)
  cl <- ClusterRegistry("get")
  stopifnot(is.null(cl), length(cl) == 0L)
  
  message("*** multisession(...) - stopping with plan() change ... DONE")

  message(sprintf("Testing with %d cores ... DONE", cores))
} ## for (cores ...)

message("*** multisession() ... DONE")

source("incl/end.R")