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...dx,dx int 13h pop dx pop ax instead of mov dx,03F2h xor al,al call slow_out Thx for any comments, Martin Neuhaeusser -- \ / ---==( o )==--- PGP encrypted messages preferred. Public-Key at: http://sawfish.weh.rwth-aachen.de/~martin/index.html

I have a Centos 3.x server install that has been working for months now but is now going the error "resource temparary unavailable" any idea what normally causes this error ? Thanks Denis

Dear FreeBSD users and system administrators, While the FreeBSD Security Team has traditionally been very good at investigating and responding to security issues in FreeBSD, this only solves half of the security problem: Unless users and administrators of FreeBSD systems apply the security patches provided, the advisories issued accomplish little beyond alerting potential attackers to the

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Dear R-devel, I am experiencing issues with running GAM models using mclapply, it fails to return any values if the data input becomes large. For example here the code runs fine with a df of 100 rows, but fails at 1000. library(mgcv) library(parallel) > df <- data.frame( + x = 1:100, + y = 1:100 + ) > > mclapply(1:2, function(i, df) { + fit <- gam(y ~ s(x, bs =

...k <simon.urbanek at R-project.org<mailto:simon.urbanek at R-project.org>> wrote: Sorry, the code works perfectly fine for me in R even for 1e6 observations (but I was testing with R 4.0.0). Are you using some kind of GUI? Cheers, Simon On 28/04/2020, at 8:11 PM, Shian Su <su.s at wehi.edu.au<mailto:su.s at wehi.edu.au>> wrote: Dear R-devel, I am experiencing issues with running GAM models using mclapply, it fails to return any values if the data input becomes large. For example here the code runs fine with a df of 100 rows, but fails at 1000. library(mgcv) library(p...

...could even use stop() here if you wanna be > conservative. > > [0] https://github.com/rstudio/rstudio/issues/2597#issuecomment-482187011 > [1] https://stat.ethz.ch/pipermail/r-devel/2020-January/078896.html > > /Henrik > > On Tue, Apr 28, 2020 at 2:39 AM Shian Su <su.s at wehi.edu.au> wrote: >> >> Yes I am running on Rstudio 1.2.5033. I was also running this code without error on Ubuntu in Rstudio. Checking again on the terminal and it does indeed work fine even with large data.frames. >> >> Any idea as to what interaction between Rstudio and...

...s. If the data is small, or you need to read it first, then other methods like PSOCK may be preferable. In any case, parallelization only makes sense for code that you know will take a long time to run. > > Cheers, > Simon > > >> On 29/04/2020, at 11:54 AM, Shian Su <su.s at wehi.edu.au> wrote: >> >> Thanks Henrik, >> >> That clears things up significantly. I did see the warning but failed to include it my initial email. It sounds like an RStudio issue, and it seems like that it?s quite intrinsic to how forks interact with RStudio. Given this cod...