A potential POSIXlt->Date bug introduced in r-devel
Confirmed on Fedora 36 which has a 32-bit time_t for an i686 compile. I was a bit surprised that has not been changed, but gather Linux distros are preferring to drop ix86 than fix it. There is a simple workaround, to configure R with --with-internal-tzcode, which always uses a 64-bit time_t. Given that 2038 is not that far away, avoiding 32-bit time_t is generally a very good idea (not just for people working with dates in 5881580!). That test should not really be run on platforms with 32-bit time_t, but that is not currently known at R level.
On 06/10/2022 13:38, Prof Brian Ripley wrote:
On 06/10/2022 09:41, Berwin A Turlach wrote:
G'day all, On Thu, 6 Oct 2022 10:15:29 +0200 Martin Maechler <maechler at stat.math.ethz.ch> wrote:
Davis Vaughan ???? on Wed, 5 Oct 2022 17:04:11 -0400 writes:
???? > # Weird, where is the `NA`? ???? > as.Date(x) ???? > #> [1] "2013-01-31" "1970-01-01" "2013-03-31" ???? > ``` I agree that the above is wrong, i.e., a bug in current? R-devel.
I have no intention of hijacking this thread, but I wonder whether this is a good opportunity to mention that the 32 bit build of R-devel falls over on my machine since 25 September.? It fails one of the regression tests in reg-tests-1d.R.? The final lines of reg-tests-1d.Rout.fail are:
tools::Rd2txt(rd, out <- textConnection(NULL, "w"), fragment = TRUE) stopifnot(any(as.character(rd) != "\n"),
+?????????? identical(textConnectionValue(out)[2L], "LaTeX")); close(out)
## empty output in R <= 4.2.x
Yes, known for a few days on the R-core list. I am in the middle of an OS upgrade on that machine and won't have time to do more than report until that (and all the re-building and re-checking) is complete.
## as.POSIXlt(<very large Date>)? gave integer overflow stopifnot(as.POSIXlt(.Date(2^31 + 10))$year == 5879680L)
Error: as.POSIXlt(.Date(2^31 + 10))$year == 5879680L is not TRUE Execution halted I should have reported this earlier, but somehow did not find the time to do so.? So I thought I mention it here. :) Cheers, ????Berwin
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Brian D. Ripley, ripley at stats.ox.ac.uk Emeritus Professor of Applied Statistics, University of Oxford