Hi,
Installing a source package on Windows using utils::install.packages()
with quiet=TRUE fails, while it works with the default quiet = FALSE.
The problem seems to be caused by the fact that when quiet = TRUE,
stdout and stderr are set to FALSE when calling "R CMD INSTALL" with
base::system
Just noticed that this problem only occurs from within RStudio
(v1.1.414). Any ideas why?
Am 26.01.2018 um 08:56 schrieb Andreas Kersting:
Hi,
Installing a source package on Windows using utils::install.packages()
with quiet=TRUE fails, while it works with the default quiet = FALSE.
The
I have filed a bug report here:
https://github.com/rstudio/rstudio/issues/2070
Original Message
From: peter dalgaard [mailto:pda...@gmail.com]
Sent: Friday, Jan 26, 2018 10:15 AM GMT
To: Andreas Kersting
Cc: r-devel@r-project.org
Subject: [Rd] utils::install.packages with
ain_thread() is left via a
longjmp. This is e.g. required if the secondary threads use memory which was
allocated in fun_running_in_main_thread() using e.g. R_alloc().
Best regards,
Andreas Kersting
#include
#include
#include
#include
extern uintptr_t R_CStackLimit;
extern int
ackage for your purposes?
>>
>> Do you want to parallelize your code to achieve better performance? Even
>> with your proposed solution, you need synchronization and chances are that
>> excessive synchronization will severely affect the expected performance
>> bene
utions (and
>> skips all non-illustrative checks of return values). Additionally,
>> R_CheckUserInterrupt() is used in combination with R_UnwindProtect() to
>> regularly check for interrupts from the main thread, while still being able
>> to cleanly cancel the threads before fun_
Hi,
Is there currently any way to guarantee that on.exit does not fail to execute
the recorded expression because of a user interrupt arriving during function
exit? Consider:
f <- function() {
suspendInterrupts({
on.exit(suspendInterrupts(cntr_on.exit <<- cntr_on.exit + 1L))
cntr_f <<
Hi,
I am facing a very weird problem with parallel::mclapply. I have a script which
does some data wrangling on an input dataset in parallel and then writes the
results to disk. I have been using this script daily for more than one year
always on an EC2 instance launched from the same AMI (no u
session via Rscript) I
only process the second input file it will work. The other observations on R vs
Rscript, NFS share etc. still hold.
Sorry for this! Regards,
Andreas
2019-11-27 12:10 GMT+01:00 Andreas Kersting:
> Hi,
>
> I am facing a very weird problem with parallel::mclapply.
without code instrumentation just using strace.
> Just from looking at the code in R around the writing I am not seeing any bug
> there. If you choose to debug o
n your system I can help with the instrumentation.
>
> Best
> Tomas
>
> On 11/27/19 12:40 PM, Andrea
e you could find =
>
> this out even in your current debugging setup via breakpoints and=20
> backtraces, but I think it may be easier to build from source with these =
>
> debugging messages.
>
> Also if you could send me a complete example I could run that causes=20
> th
with this commit:
https://github.com/wch/r-source/commit/e08cffac1c5b9015a1625938d568b648eb1d8aee
Regards,
Andreas
2019-11-28 13:54 GMT+01:00 Andreas Kersting:
> Hi Tomas,
>
> I rebuild R (v3.5.2 for now, R-devel to follow) from the Debian package with
> MC_DEBUG defined and hopeful
with this commit:
https://github.com/wch/r-source/commit/e08cffac1c5b9015a1625938d568b648eb1d8aee
Regards,
Andreas
2019-11-28 13:54 GMT+01:00 Andreas Kersting:
> Hi Tomas,
>
> I rebuild R (v3.5.2 for now, R-devel to follow) from the Debian package with
> MC_DEBUG defined and hopeful
Hi Benjamin,
you cannot pipe to echo, since it does not read from stdin.
echo just echos is first arg, i.e. echo /dev/stdin > /dev/null will echo the
string "/dev/stdin"to /dev/stdout, which is redirected to /dev/null.
Try
p <- pipe("cat > /dev/null", open = "w")
instead.
Regards,
Andreas
is:
> >
>
> > If you use dump.files(to.file = FALSE) in an interactive
> > session debugging works as expected because it creates a
> > global variable called "last.dump" and the workspace is
> > sti
Consider the following code snippets:
> list(quote(1 + 1), I(quote(1 + 1)))
[[1]]
1 + 1
[[2]]
[1] 2 # should also be 1 + 1!?
> str(list(quote(1 + 1), I(quote(1 + 1
List of 2
$ : language 1 + 1
$ : language + 1 1 # why is this line different from the one above?
..- attr(*, "class")= ch
Hi,
I would really like to have a way to split long string literals across
multiple lines in R.
Currently, if a string literal spans multiple lines, there is no way to
inhibit the introduction of newline characters:
> "aaa
+ bbb"
[1] "aaa\nbbb"
If a line ends with a backslash, it is just
On Wed, 14 Jun 2017 06:12:09 -0500, Duncan Murdoch
wrote:
> On 14/06/2017 5:58 AM, Andreas Kersting wrote:
> > Hi,
> >
> > I would really like to have a way to split long string literals across
> > multiple lines in R.
>
> I don't understand why you requir
Original Message
From: Duncan Murdoch [mailto:murdoch.dun...@gmail.com]
Sent: Wednesday, Jun 14, 2017 1:36 PM GMT
To: Andreas Kersting
Cc: r-devel
Subject: [Rd] [WISH / PATCH] possibility to split string literals across
multiple lines
On 14/06/2017 6:45 AM, Andreas Kersting
Original Message
From: Hadley Wickham [mailto:h.wick...@gmail.com]
Sent: Wednesday, Jun 14, 2017 2:51 PM GMT
To: Simon Urbanek
Cc: Andreas Kersting; r-devel@r-project.org
Subject: [Rd] [WISH / PATCH] possibility to split string literals across
multiple lines
On Wed, Jun 14
;:
-std=gnu11
(Same for -std=c11.)
Thanks! Regards,
Andreas Kersting
__
R-devel@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-devel
r some unstated value of 'work' ...
>
>> * checking compilation flags in Makevars ... WARNING
>> Non-portable flags in variable 'PKG_CFLAGS':
>>-std=gnu11
>> > (Same for -std=c11.)
>> > Thanks! Regards,
>> Andreas Kersting
>
> Th
Hi,
In my package bettermc, I use a custom allocator, which hands out already
defined/initialized memory (mmap of a POSIX shared memory object).
If my code is run in R which was configured --with-valgrind-instrumentation >
0, Valgrind will (correctly) complain about uninitialized memory being u
!?
Not sure though if Oracle Developer Studio on Solaris supports __has_include()
...
2021-03-26 08:40 GMT+01:00 "Andreas Kersting" :
> Hi,
>
> In my package bettermc, I use a custom allocator, which hands out already
> defined/initialized memory (mmap of a POSIX shared memo
Hi Dirk,
Sure, let me try to explain:
CRAN ran the tests of my package using R which was configured
--with-valgrind-instrumentation > 0. Valgrind reported many errors related to
the use of supposedly uninitialized memory and the CRAN team asked me to tackle
these.
These errors are false posit
y directly from
allocVector3().
Regards,
Andreas
2021-03-29 10:41 GMT+02:00 "Tomas Kalibera" :
> Hi Andreas,
> On 3/26/21 8:48 PM, Andreas Kersting wrote:
>> Hi Dirk, > > Sure, let me try to explain: > > CRAN ran the tests of my
>> package using R which wa
ind flagging. You simply have to call VALGRIND_MAKE_MEM_DEFINED() in
> your code after allocVector3() to declare that you have initialised the
> memory - or am I missing something?
>
> Cheers,
> Simon
>
>
>
>> On 30/03/2021, at 9:18 AM, Andreas Kersting wrote:
>>
>>
ng mmap - the memory content is only
> valid (initialised) if you used mmap with previously initialised content.
> Again, entirely up to you to decide what the semantics are since you are the
> author of the custom allocator. Does that make sense?
>
> Cheers,
> Simon
>
>
>
Hi,
please consider the following minimal reproducible example:
Create a new R package which just contains the following two (exported) objects:
crash_dumps <- new.env()
f <- function() {
x <- runif(1e5)
dump <- lapply(1:2, function(i) unserialize(serialize(sys.frames(), NULL)))
assign("
9
user system elapsed
11.807 0.708 12.597
[1] 10
^C
Timing stopped at: 6.638 0.549 7.214
I had to interrupt in iteration 10 because I was running low on RAM.
Regards,
Andreas
2021-04-07 15:28 GMT+02:00 luke-tier...@uiowa.edu:
> On Wed, 7 Apr 2021, Andreas Kersting wrote:
>
>
also from base R. If I install using e.g.
devtools::install_github() directly it is also fine for me.
Could you please confirm? Thanks!
Regards,
Andreas
2021-04-07 16:20 GMT+02:00 "Dirk Eddelbuettel" :
>
> On 7 April 2021 at 16:06, Andreas Kersting wrote:
> | Hi Luke,
> |
&
as
2021-04-07 17:09 GMT+02:00 "Andreas Kersting" :
> Hi Dirk, hi Luke,
>
> Thanks for checking!
>
> I could narrow it down further. I have the issue only if I install
> --with-keep.source, i.e.
>
> R CMD INSTALL --with-keep.source dumpTest
>
> Since this i
Hi all,
As part of RunGenCollect() (in src/main/memory.c), some maintenance on the
CHARSXP cache is done, namely unmarked nodes/CHARSXPs are removed from the hash
chains. This requires always touching all CHARSXP in the cache, irrespective of
the number of generations which were just garbage co
Hi all,
in GC (in src/main/memory.c), FORWARD_CHILDREN() (called by PROCESS_NODES())
treats STRSXPs just like VECSXPs, i.e. it calls FORWARD_NODE() for all its
children. I claim that this is unnecessarily inefficient since the children of
a STRSXP can legitimately only be (atomic) CHARSXPs and
Hi,
In https://stat.ethz.ch/pipermail/r-devel/2021-October/081147.html I proposed
to speed up the CHARSXP cache maintenance during GC using threading. This was
rejected by Luke in
https://stat.ethz.ch/pipermail/r-devel/2021-October/081172.html.
Here I want to propose an alternative approach to
I have now added this to the wishlist in Bugzilla:
https://bugs.r-project.org/show_bug.cgi?id=18234
2021-10-07 09:26 GMT+02:00 "Andreas Kersting" :
> Hi all,
>
> As part of RunGenCollect() (in src/main/memory.c), some maintenance on the
> CHARSXP cache is done, namely u
rations that
> may be simpler.
>
> Best,
>
> luke
>
> On Wed, 3 Nov 2021, Andreas Kersting wrote:
>
>> Hi,
>>
>> In https://stat.ethz.ch/pipermail/r-devel/2021-October/081147.html I
>> proposed to speed up the CHARSXP cache maintenance during GC using
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