Hi Peter,
On 11-12-14 08:19 AM, peter dalgaard wrote:
On Dec 14, 2011, at 16:19 , John C Nash wrote:
Following this thread, I wondered why nobody tried cumsum to see where the integer
overflow occurs. On the shorter xx vector in the little script below I get a message:
Warning message:
Integer overflow in 'cumsum'; use 'cumsum(as.numeric(.))'
But sum() does not give such a warning, which I believe is the point of contention. Since
cumsum() does manage to give such a warning, and show where the overflow occurs, should
sum() not be able to do so? For the record, I don't class the non-zero answer as an error
in itself. I regard the failure to warn as the issue.
It (sum) does warn if you take the two "halves" separately. The issue is that the overflow is detected at the end of the summation, when the result is to be saved to an integer (which of course happens for all intermediate sums in cumsum)
x<- c(rep(1800000003L, 10000000), -rep(1200000002L, 15000000))
sum(x[1:10000000])
[1] NA
Warning message:
In sum(x[1:1e+07]) : Integer overflow - use sum(as.numeric(.))
sum(x[10000001:25000000])
[1] NA
Warning message:
In sum(x[10000001:1.5e+07]) : Integer overflow - use sum(as.numeric(.))
[1] 4996000
There's a pretty easy fix, essentially to move
if(s> INT_MAX || s< R_INT_MIN){
warningcall(call, _("Integer overflow - use sum(as.numeric(.))"));
*value = NA_INTEGER;
}
inside the summation loop. Obviously, there's a speed penalty from two FP comparisons per element, but I wouldn't know whether it matters in practice for anyone.
Since you want to generate this warning once only, your test (now
inside the loop) needs to be something like:
if (warn && (s > INT_MAX || s < R_INT_MIN)) {
generate the warning
warn = 0;
}
with 'warn' initialized to 1. This makes the isum() function almost
twice slower on my machine (64-bit Ubuntu) when compiling with
gcc -O2 and when no overflow occurs (the most common use case I guess).
Why not just do the sum in a long double instead of a double?
It slows down isum() by only 8% on my machine when compiling
with gcc -O2.
But most importantly this solution also has the advantage of making
sum(x) consistent with sum(as.double(x)). The latter uses rsum() which
does the sum in a long double. So by using a long double in both isum()
and rsum(), consistency between sum(x) and sum(as.double(x)) is
guaranteed.