I\'m trying to do a thing \"the right way\". Sometimes \"the right way\" takes too long, depending on the inputs. I can\'t really know a priori when this will be. When \"the
The initial version I posted worked with "R.utils v2.5.0 (2016-11-07)" but it does not with "R.utils v2.9.2". Below a version with some modifications that works using "R.utils v2.9.2"
The answer of "nwknoblauch" does not work for me unless I change "warning" by "silent" inside the interruptor function.
library(R.utils)
slow.func <- function(x){
Sys.sleep(10)
return(x^2)
}
fast.func <- function(x){
Sys.sleep(2)
return(x*x)
}
interruptor = function(FUN,args, time.limit, ALTFUN){
results <- NULL
results <- evalWithTimeout({FUN(args)},timeout=time.limit,onTimeout="silent")
if(is.null(results)){
results <- ALTFUN(args)
}
return(results)
}
interruptor(FUN = slow.func,args=2,time.limit=3,ALTFUN = fast.func)
library(R.utils)
slow.func <- function(x){
Sys.sleep(4)
return(x^2)
}
fast.func <- function(x){
Sys.sleep(2)
return(x)
}
interruptor <- function(FUN,args, time.limit, ALTFUN){
results <-
tryCatch({
withTimeout({FUN(args)}, timeout=time.limit)
}, error = function(e){
if(grepl("reached elapsed time limit",e$message))
ALTFUN(args) else
paste(e$message,"EXTRACTERROR")
})
if(grepl("EXTRACTERROR",results)){
print(gsub("EXTRACTERROR","",results))
results <- NULL
}
return(results)
}
Depending on the selected time.limit, it executes the first function or the alternative. It returns NULL when there is an error not related to time limit and print the error message.
EXAMPLE:
test_obj <- interruptor(FUN = slow.func, args=5, time.limit= 6, ALTFUN = fast.func)
test_obj
test_obj <- interruptor(FUN = slow.func, args=5, time.limit= 3, ALTFUN = fast.func)
test_obj
test_obj <- interruptor(FUN = slow.func, args="A", time.limit= 6, ALTFUN = fast.func)
test_obj
test_obj <- interruptor(FUN = slow.func, args="A", time.limit= 3, ALTFUN = fast.func)
test_obj
Thanks to andybega for the idea of how improving the issue of error messages
For anyone who wants a lighter weight solution that does not depend on the R.utils
package, I ended up using a minimal solution based on the withTimeout()
code.
foo <- function() {
time_limit <- 10
setTimeLimit(cpu = time_limit, elapsed = time_limit, transient = TRUE)
on.exit({
setTimeLimit(cpu = Inf, elapsed = Inf, transient = FALSE)
})
tryCatch({
# do some stuff
}, error = function(e) {
if (grepl("reached elapsed time limit|reached CPU time limit", e$message)) {
# we reached timeout, apply some alternative method or do something else
} else {
# error not related to timeout
stop(e)
}
})
}
The R package R.utils
has a function evalWithTimeout
that's pretty much exactly what you're describing. If you don't want to install a package, evalWithTimeout
relies on the less user friendly R base function setTimeLimit
Your code would look something like this:
library(R.utils)
slow.func <- function(x){
Sys.sleep(10)
return(x^2)
}
fast.func <- function(x){
Sys.sleep(2)
return(x*x)
}
interruptor = function(FUN,args, time.limit, ALTFUN){
results <- NULL
results <- evalWithTimeout({FUN(args)},timeout=time.limit,onTimeout="warning")
if(results==NULL){
results <- ALTFUN(args)
}
return(results)
}
interruptor(slow.func,args=2,time.limit=3,fast.func)