similar to: Segmentation fault in 3.63 on 16GB USB

hi together, there is a problem with my sieve: System SuSE 10.3 with Postfix in Postfix i have add to main.cf mailbox_command = /usr/lib/dovecot/deliver in /etc/dovecot/dovecot.conf is add: protocol lda { # Address to use when sending rejection mails. postmaster_address = carsten at chatlabel.de ... # Enabling Sieve plugin for server-side mail filtering mail_plugins =

Hi, I have a centos 5.6 xen vps which loses network connectivity once in a while with following error. ========================================= -bash-3.2# ping 8.8.8.8 PING 8.8.8.8 (8.8.8.8) 56(84) bytes of data. ping: sendmsg: No buffer space available ping: sendmsg: No buffer space available ping: sendmsg: No buffer space available ping: sendmsg: No buffer space available

Hi, In the situation below the note issued by the dispatch algo doesn't seem right: setClass("A", representation(stuff="complex")) setAs("ANY", "A", function(from) new("A", stuff=as.complex(from))) > as(6, "A") An object of class "A" Slot "stuff": [1] 6+0i > as(6L, "A")

Hello, I just received a serious bug report from Stas Kysel of rPath (with a great test case); it appears that deleted files can confuse extlinux so that it misses files. This is bad. As a result, I have pushed out 3.63-pre3, and intend to make a 3.63 final shortly. I would appreciate any help testing this. Furthermore, I would like to finish the SDI booting module, but I have yet to

Hello everyone, I have released SYSLINUX 3.63. The main update is a fix to EXTLINUX, which would get confused by directories with deleted file entries. Special thanks to Stas Kysel of rPath, Inc. for spotting this problem and giving me an excellent test case; and of course to rPath, Inc. in general for being my employer and being extremely supportive of my SYSLINUX work! I have also

I have tackled a major bug that affected sdi.c32 especially, but might at least theoretically have affected other formats as well. It *appears* to load the SDI image I managed to stitch together with XP Embedded Studio, but it doesn't actually boot neither on my system nor in simulation; then trying to upgrade it to SP2 caused it to corrupt itself, so I'm not all that keen to trying

Hi Samuel, please also have a look at ?memory.limit. You can set this limit at R startup. It is in megabytes. Maybe R Studio sets it at runtime. Best Tomas On 4/7/20 3:57 PM, Samuel Granjeaud IR/Inserm wrote: > Hi Tomas, > > Many thanks for your answer. > > Here is a copy of a fresh session under RStudio, and after a copy > under Rgui. > Strangely enough the result of

Dear Samuel, The most important information from your mail was the actual error message: "cannot allocate vector of size 12.6 Gb". You'll need to know what code generated this error message. And then figure out if the code does something sensible. Often that is not the case when you get a similar error message. Best regards, ir. Thierry Onkelinx Statisticus / Statistician

Hi, I am not not sure whether this topic belongs to this mail list, but I feel the subscribers here should be the right audience. I noticed that the memory limit reported under Windows is 16 GB. I am wondering how to increase it. I didn't found anything in Rprofile.site nor .Rprofile. Is this limit hard coded at compilation? Best, Samuel [[alternative HTML version deleted]]

Agreed. I don't see any evidence of a "hard limit" here. It just looks like the code you're running has exhausted the memory of your machine. It doesn't require creating a lot of 12.6 Gb vectors to do that, even on a machine with a lot of memory ;-) H. On 4/7/20 08:05, Thierry Onkelinx via R-devel wrote: > Dear Samuel, > > The most important information from

Dear all, My machine is SUN Java Workstation 2100 with 2 AMD Opteron CPUs and 16GB RAM. R is compiled as 64bit by using SUN compilers. I trying to fit quantile smoothing on my data and I got an message as below. > fit1<-rqss(z1~qss(cbind(x,y),lambda=la1),tau=t1) Error in as.matrix.csr(diag(n)) : cannot allocate memory block of size 2496135168 The lengths of vector x and y are

Hola, Estoy todavía dando mis primeros pasos en R y una de las cosas que tengo que hacer es trabajar con un csv de 16 GB. Consta de 10 columnas, 7 númericas He probado varias cosas entre ellas  los paquetes  'colbycol', data.table, ff , etc,  pero nada, mi ordenador de queda frito. Por cierto, tiene 8GB de RAM y Windows 8 ¿Debo trocear previamente el csv,me recomendais algún paquete en

Hi, I have a centos 5.6 xen vps which loses network connectivity once in a while with following error. ========================================= -bash-3.2# ping 8.8.8.8 PING 8.8.8.8 (8.8.8.8) 56(84) bytes of data. ping: sendmsg: No buffer space available ping: sendmsg: No buffer space available ping: sendmsg: No buffer space available ping: sendmsg: No buffer space available

Es cierto que R carga los objetos en memoria, pero ésta puede ser memoria RAM + Virtual. Yo he trabajado con data frames mayores que la memoria física. Es cierto que esto ralentiza las operaciones. Lo que marca realmente los límites de la memoria es la versión del sistema operativo y de R, que han de ser de 64 bits. En un sistema de 32 bits el direccionamiento teórico máximo es de 4 Gbytes, pero

Hi Tomas, Many thanks for your answer. Here is a copy of a fresh session under RStudio, and after a copy under Rgui. Strangely enough the result of memory.limit() is not the same. Without your question I would not have looked to RGui, being used to work with RStudio. The value under RGui sounds to correspond to the total RAM of the computer. It makes me noticing that the value is in MB.

Estoy de acuerdo con la observación de Joan, yo supe utilizar formas para trabajar con más memoria de la configurada como base, pero tengamos en cuenta que una vez importados los datos, cualquier operación estará entre la memoria física y la virtual, es todo un desafío y dependerá del análisis estadístico (me refiero a los algoritmos que ordenen al CPU). Mi experiencia cuándo trabaje con muchos

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No soy experto en data mining con R, sé que existe algún paquete al respecto, pero no sé si R sería lo más adecuado para cantidades ingentes de datos… Saludos, Juan Carmona. De: Eduardo Bieñkowski [mailto:edukoski@gmail.com] Enviado el: miércoles, 04 de junio de 2014 17:07 Para: Joan Carmona CC: Isidro Hidalgo; r-help-es Asunto: Re: [R-es] Cargar csv de 16GB en R Si pero que pasaría

The Wine development release 1.5.10 is now available. What's new in this release (see below for details): - New version of the Gecko engine based on Firefox 14. - Support for OpenGL in the DIB engine using libOSMesa. - Off-screen rendering is now the default in Direct3D. - Some more WMI infrastructure. - Various bug fixes. The source is available from the following locations:

On 11.02.20 10:33, Eugenio P?rez wrote: > On Mon, 2020-02-10 at 12:01 +0100, Christian Borntraeger wrote: >> >> On 10.02.20 10:47, Eugenio Perez Martin wrote: >>> Hi Christian. >>> >>> I'm not able to reproduce the failure with eccb852f1fe6bede630e2e4f1a121a81e34354ab commit. Could you add more data? >>> Your configuration (libvirt or qemu