Integer Overflow in AUC

[DavZim]

When I use AUC with more than 100k observations, the AUC calculation has an integer overflow and returns NA, see also this SO question.

For reproducibility:

set.seed(15)
N <- 100000

true <- sample(0:1, N, replace = TRUE)
pred <- sample(0:1, N, replace = TRUE)

MLmetrics::AUC(true, pred)
[1] NA
Warning message:
In n_pos * n_neg : NAs produced by integer overflow

[ag1805x]

Is there any solution or workaround for this warning?