[Rd] Memory leakage/violation?

Uwe Ligges ligges at statistik.uni-dortmund.de
Sat Aug 27 11:39:36 CEST 2005


Thomas Lumley wrote:
> I can't reproduce this on R2.2.0dev on Windows XP (in a few hundred 
> tries), or running under Valgrind on AMD64 Linux (in four or five tries).

Cannot reproduce either (using R-2.1.1 and an older version of R-devel, 
though). Maybe a compiler issue?
Henrik, do you use exactly the compiler set up mentioned in the manuals? 
Which version of gcc? Did your emember to replace the f771.exe?

Uwe



>  	-thomas
> 
> 
> On Fri, 26 Aug 2005, Henrik Bengtsson wrote:
> 
> 
>>Hi,
>>
>>I've spotted a possible memory leakage/violation in the latest R v2.1.1
>>patched and R v2.2.0dev on Windows XP Pro SP2 Eng.
>>
>>I first caught it deep down in a nested svd algorithm when subtracting a
>>double 'c' from a integer vector 'a' where both had finite values but
>>when assigning 'a <- a - c' would report NaNs whereas (a-c) alone would
>>not.  Different runs with the identical data would introduce NaNs at
>>random positions, but not all the time.
>>
>>Troubleshooting is after a couple of hours still at v0.5, but here is a
>>script that generates the strange behavior on the above R setups.  I let
>>the script speak for itself.  Note that both the script 'strange.R' and
>>the data 'strange.RData' is online too, see code below.
>>
>>People on other systems (but also on Windows), could you please try it
>>and see if you can reproduce what I get.
>>
>>Cheers
>>
>>Henrik
>>
>>
>># The following was tested on: Windows XP Pro SP2 Eng with
>>#   i) R Version 2.1.1 Patched (2005-08-25)
>>#  ii) R 2.2.0 Under development (unstable) (2005-08-25 r35394M)
>>
>># Start 'R --vanilla' and source() this script, i.e.
>>#  source("http://www.maths.lth.se/help/R/strange.R")
>># If you do not get any errors, retry a few times.
>>
>>foo <- function(x) {
>>  print(list(
>>    name=as.character(substitute(x)),
>>    storage.mode=storage.mode(x),
>>    na=any(is.na(x)),
>>    nan=any(is.nan(x)),
>>    inf=any(is.infinite(x)),
>>    ok=all(is.finite(a))
>>  ))
>>  print(length(x))
>>  print(summary(x))
>>}
>>
>># Load data from a complicated "non-reproducible" algorithm.
>># The below errors occur also when data is not
>># saved and then reloaded from file.  Data was generated in
>># R v2.1.1 patched (see above).
>>if (file.exists("strange.RData")) {
>>  load("strange.RData")
>>} else {
>>  load(url("http://www.maths.lth.se/help/R/strange.RData"))
>>}
>>
>># First glance at data...
>>foo(a)
>>foo(c)
>>
>>## $name
>>## [1] "a"
>>##
>>## $storage.mode
>>## [1] "integer"
>>##
>>## $na
>>## [1] FALSE
>>##
>>## $nan
>>## [1] FALSE
>>##
>>## $inf
>>## [1] FALSE
>>##
>>## $ok
>>## [1] TRUE
>>##
>>## [1] 15000
>>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
>>##    41.0    51.0    63.0   292.2   111.0 65170.0
>>## $name
>>## [1] "c"
>>##
>>## $storage.mode
>>## [1] "double"
>>##
>>## $na
>>## [1] FALSE
>>##
>>## $nan
>>## [1] FALSE
>>##
>>## $inf
>>## [1] FALSE
>>##
>>## $ok
>>## [1] TRUE
>>##
>>## [1] 1
>>##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max.
>>##   53.43   53.43   53.43   53.43   53.43   53.43
>>##
>>
>># But, trying the following, will result in
>># no-reproducible error messages. Sometimes
>># it errors at kk==1, sometimes at kk >> 1.
>># Also, look at the different output for
>># different kk:s.
>>for (kk in 1:100) {
>>  cat("kk=",kk, "\n")
>>  print(summary(a-c))
>>}
>>
>>## kk= 1
>>## 	  Min.     1st Qu.      Median        Mean     3rd Qu.        Max.
>>## -7.741e+307  -2.431e+00   9.569e+00               5.757e+01
>>## kk= 2
>>## 	Min.   1st Qu.    Median      Mean   3rd Qu.      Max.
>>##   -12.430    -2.431     9.569   238.700    57.570 65120.000
>>## kk= 3
>>## 	Min.   1st Qu.    Median      Mean   3rd Qu.      Max.
>>##   -12.430    -2.431     9.569              57.570 65120.000
>>## kk= 4
>>## 	Min.   1st Qu.    Median      Mean   3rd Qu.      Max.
>>##   -12.430    -2.431     9.569   238.700    57.570 65120.000
>>## kk= 5
>>## 	Min.   1st Qu.    Median      Mean   3rd Qu.      Max.
>>##   -12.430    -2.431     9.569   238.700    57.570 65120.000
>>## kk= 6
>>## Error in quantile.default(object) : missing values and NaN's
>>## not allowed if 'na.rm' is FALSE
>>
>>
>>## Comments: If you shorten down 'a', the bug occurs less frequently.
>>
>>______________________________________________
>>R-devel at r-project.org mailing list
>>https://stat.ethz.ch/mailman/listinfo/r-devel
>>
> 
> 
> Thomas Lumley			Assoc. Professor, Biostatistics
> tlumley at u.washington.edu	University of Washington, Seattle
> 
> ______________________________________________
> R-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel



More information about the R-devel mailing list