similar to: parallel::mc*: Is it possible for a child process to know it is a fork?

On Tue, Jan 24, 2017 at 7:06 PM, Henrik Bengtsson <henrik.bengtsson at gmail.com> wrote: > When using multicore-forking of the parallel package, is it possible > for a child process to know that it is a fork? R internally uses R_isForkedChild to prevent certain operations within the fork. However I don't think this is exported anywhere. You could do something like: extern

I am trying to install R-beta_2008-08-16_r46368.tar.gz on FreeBSD 8.0-CURRENT (i386). The code stops compiling with the following message: -------------------------------------------------------------------- [.. snip ..] building package 'tcltk' mkdir ../../../library/tcltk mkdir ../../../library/tcltk/R mkdir ../../../library/tcltk/demo mkdir ../../../library/tcltk/exec mkdir

I'd like to propose that the whenever the length of condition passed to an if or a while statement differs from one, an error is produced rather than just a warning as today: > x <- 1:2 > if (x == 1) message("x == 1") x == 1 Warning message: In if (x == 1) message("x == 1") : the condition has length > 1 and only the first element will be used There are

The package I'm working on can extract data from external packages but would otherwise have no dependency on them. However, I desire to be able to dispatch based on an external S3 class if its package is attached (.First.lib). My code is S4-based and its package has NAMESPACE. Registering the external class prior to the other package being attached doesn't seem to work so I am attempting

I am trying to use R_RegisterCFinalizerEx to ensure some c++ object is properly deleted after use. However, I run into some problems when trying to pass in the third argument which is an Rboolean. The line 'R_RegisterCFinalizerEx(p, finalizer, TRUE);' generates the following error when trying to compile using R CMD SHLIB: g++ -I/usr/share/R/include -DNDEBUG -fpic -O2 -pipe

Hello list, I've been working on a package of my own. It works fine on the 32bit linux machines that I've tested it on. Someone using 64bit ubuntu wanted to try it, and surprising segfaults happened. My test code results in no segfault, errors, or leaks from my calls when run under valgrind (I recompiled R with the level 2 valgrind instruments). R and packages are compiled from source,

Hi, I'm hoping to get some clarification of the intent of some of directives used in NAMESPACE files. 1. Is import(somePkg) also intended to import all classes and methods that are exported via exportClasses and exportMethods in somePkg? I think import pulls in classes and methods, but it isn't clear from the docs whether this is as intended. 2. What is exportMethods intended

https://bugzilla.redhat.com/show_bug.cgi?id=1123007 This is version 2 of the patch which avoids incorrectly closing stderr, so we can still see debug and error messages. Rich.

This refactors existing code to close file descriptors in the recovery process, and also adds code to close file descriptors between the fork() and exec() of QEMU or User-Mode Linux. The reason is to avoid leaking main process file descriptors where the main process (or other libraries in the main process) are not setting O_CLOEXEC at all or not setting it atomically. Python is a particular

When I originally implemented connections in R 1.2.0, I followed the model in the 'Green Book' closely. There were a number of features that forced a particular implementation, and one was getConnection() that allows one to recreate a connection object from a number. I am wondering if anyone makes use of this, and if so for what? It would seem closer to the R philosophy to have

Looking for more ways to speed up R, I've found that large improvements are possible in the speed of "sum" and "prod" for long real vectors. Here is a little test with R version 2.11.1 on an Intel Linux system > a <- seq(0,1,length=1000) > system.time({for (i in 1:1000000) b <- sum(a)}) user system elapsed 4.800 0.010 4.817 > system.time({for (i

Thanks Jeroen. The R Foundation has recently formed a working group to look into package authentication. There are basically two models. One is the GPG based model you describe; the other is to use X.509 as implemented in the PKI package. It's not yet clear which way to go but we are thinking about it. Martyn On Sun, 2016-10-23 at 18:37 +0200, Jeroen Ooms wrote: > I would like to propose

Hello, The current xfig device lacks the functionality to set the textspecial flag and use the defaultfont in xfig. This is necessary when you want to export to xfig and use interpreted text (e.g., $ \frac{1}{e}$ gets interpreted by latex). The attached patch adds this functionality. Why would you like to do this? - Use math in labels (e.g., name your variables $r_{xy}$, do a

On 08/05/2018 2:58 PM, Duncan Murdoch wrote: > On 08/05/2018 1:48 PM, Steven Nydick wrote: >> Reproducible example: >> >> x <- list(list(list(), list())) >> unlist(x) >> >> *> Error in as.character.factor(x) : malformed factor* > > The error comes from the line > > structure(res, levels = lv, names = nm, class = "factor") >

https://bugzilla.mindrot.org/show_bug.cgi?id=3181 Bug ID: 3181 Summary: ssh-agent doesn't exit automatically after child program exits Product: Portable OpenSSH Version: 8.0p1 Hardware: All OS: All Status: NEW Severity: trivial Priority: P5 Component: ssh-agent

OK, this is really a new one for me. Just thought I'd try building R-devel (2005-03-15) on our AIX power machines and see if there are any problems. I used the settings in the Appendix B of R-admin, using the set of variables that Tim Hoar used (i.e., trying to build 64-bit R using native compilers). configure ran fine, but `gmake' gave me a syntax error when compiling src/main/memory.c.

Hi, As the subject suggests, I am looking for the most robust way to call an (arbitrary) function from the R API from another but the main POSIX thread in a package's code. I know that, "[c]alling any of the R API from threaded code is ?for experts only? and strongly discouraged. Many functions in the R API modify internal R data structures and might corrupt these data structures if

Dear all, When I debugged the execution performance of an application using strace, I found there are some system calls like open and stat64 which run faster on XenLinux than the standard Linux. The following is the output of running "strace -c /bin/sh -c /bin/echo foo" on both systems. An open call runs averagely 109 usec on standard Linux but only 41 usecs on XenLinux. An stat64

In what way is this a bug in R? It looks like a bug in the package, and as Defn.h is not part of R's API any packge using it is `at risk' (and cannot be installed in a binary-only installation, or even an installed version of R). In particular, Defn,.h depends on config.h, and it seems you installed a binary version of R and used separate sources. I would suggest building R from

I would like to propose adding experimental support for including a PGP signature in R source packages. This would make it possible to verify the identity of the package author and integrity of the package sources. There are two ways to implement this. Assuming GnuPG is on the PATH, the CMD build script could call: gpg --clearsign MD5 -o MD5.gpg Alternatively the 'gpg' R package