similar to: kernel messages: alignment check: 0000 [#1] SMP

On 11/01/2013 01:48 PM, Hal Finkel wrote: > The large complication that you end up with a scheme like this is > maintaining control dependencies. [...] Good point. > 2. Assert that !notrap cannot be used where its validity might be affected > by control dependencies. Thus, I propose that if this ends up being per-instruction property, its semantics would include this restriction.

I've been trying for 24 hours now, to get an IMAP server which will autenticate off of vpopmail cdb database and the auth module always segfaults on login. I'm using vpopmail 5.5.0 only because it is the only version which seems to create a dynamically linked version of the library. I tried latest releases dovecot 1.0, 1.1, and 1.2. Also latest mercurial pulls of 1.1 and 1.2. Even old

I have the data similar to the following in a data frame: LastName Department Salary 1 Johnson IT 56000 2 James HR 54223 3 Howe Finance 80000 4 Jones Finance 82000 5 Norwood IT 67000 6 Benson Sales 76000 7 Smith Sales 65778 8 Baker HR 56778 9 Dempsey HR 78999 10 Nolan

Dear R friends I´m interested into apply a Jackknife analysis to in order to quantify the uncertainty of my coefficients estimated by the logistic regression. I´m using a glm(family=’binomial’) because my independent variable is in 0 - 1 format. My dataset has 76000 obs, and I´m using 7 independent variables plus an offset. The idea involves to split the data in let’s say 5 random subsets and

after aptitude upgrade it segfaults. syslog: Nov 30 15:42:05 serv dovecot: master: Dovecot v2.0.7 (a131a498731f) starting up (core dumps disabled) Nov 30 15:42:05 serv kernel: [ 50.920530] dovecot[1474]: segfault at 0 ip 0804fa9c sp bf87ba80 error 4 in dovecot[8048000+c000] Nov 30 15:42:05 serv kernel: [ 50.921140] dovecot[1475]: segfault at 0 ip 0804fa9c sp bf87bab0 error 4 in

Hi, 1. How do I construct 95% prediction interval for new x values, for example - x = 30000? 2. How do I construct 95% confidence interval? my dataframe is as follows : >dt structure(list(y = c(26100000, 60500000, 16200000, 30700000, 70100000, 57700000, 46700000, 8600000, 10000000, 61800000, 30200000, 52200000, 71900000, 55000000, 12700000 ), x = c(108000, 136000,

Hi all, I got a segmentation fault in compiz and after some analysis have a question about synchronization in core compiz functions.

Hi, Recently I have installed Debian Lenny on two different machines (different ram size, disks, Xeon dual and quad core, filesystems both xfs and ext3, etc). Packages versions: Dom0: ii libc6-xen 2.7-18lenny4 GNU C Library: Shared libraries [Xen version] ii libxenstore3.0 3.2.1-2 Xenstore communications

Hi All, I'm using the following code to produce some stacked bar graphs. *setwd("C:\\Users\\Tinus\\Documents\\NMMU\\R\\Seamounts")* *SChla <- read.csv("SM_Chla_data.csv")* * * *#Extract mean values from data file* * * *Coral <- SChla[185:223,] #Reduce SChla to Coral only* *coral <- with(Coral , aggregate(cbind(Pico, Nano, Micro), list(Depth),FUN=mean))*

Hi All, I have been trying to get to plot my PCA legend outside of the PCA plot, but success still alludes me. Can you guys please advise how I can achieve this. I used locater() to obtain coordinates for below the Comp.1 axis. Using these coordinates the legend disappears. Below is the code for the PCA and legend. Thanks in advance for the help. Regards Tinus r.cols <-

----- Original Message ----- > Hi Nadav, > > On 10/31/2013 08:53 PM, Nadav Rotem wrote: > > data-parallel languages which have a completely different > > semantics. In > > OpenCL/Cuda you would want to vectorize the outermost loop, and the > > language guarantees that it is safe to so. > > Yeah. This is the separate (old) discussion and not strictly

http://bugzilla.netfilter.org/show_bug.cgi?id=741 Summary: ULOGD segfaults on init Product: ulogd Version: SVN (please provide timestamp) Platform: i386 OS/Version: other Status: NEW Severity: blocker Priority: P5 Component: ulogd_MYSQL AssignedTo: netfilter-buglog at lists.netfilter.org

Hi Nadav, On 10/31/2013 08:53 PM, Nadav Rotem wrote: > data-parallel languages which have a completely different semantics. In > OpenCL/Cuda you would want to vectorize the outermost loop, and the > language guarantees that it is safe to so. Yeah. This is the separate (old) discussion and not strictly related to the problem at hand. Better if-conversion benefits more than OpenCL C

Hi, I have a set of data (total number of record = 144,122), and I would like to use gamma-glm with log link to set up a model. IC is number of records IL is paid amount The table below shows that I have 30.578% of the data in the level of "1 - 1000" paid amount 20.320% of the data in the level of "1001 - 2000" paid amount and so on My question is could i use the whole data

Hi I'm getting segmentation fault in Dovecot 2.2.11. This happens when trying to do a user lookup by "doveadm user". The machine is running Arch Linux on i686 on ext3. dovecot -n (I took this when running the previous version that works) # 2.2.9: /etc/dovecot/dovecot.conf # OS: Linux 3.12.9-x86-linode56 i686 auth_cache_size = 32 k default_client_limit = 500

Hi together, I am new to this list and new to dovecot itself. I have to write a plugin that implements some ACL-voodoo to be used instead of the standard ACL stuff of dovecot (it shall allow just application-driven folder-sharing - no more, no less). Though I started programming with C, my last experiences are some days old, but now I have written the function sekeletons and the registration

Currently a power failure or other hard crash can cause lld leave a temporary file around. The same is true for other llvm tools. As an example, put a breakpoint in Writer.cpp:236 ("writeBuildId()") and restart the run a few times. You will get t.tmp43a735a t.tmp4deeabb t.tmp9bacdd3 t.tmpe4115c4 t.tmpeb01fff The same would happen if there was a fatal error between the

https://bugs.freedesktop.org/show_bug.cgi?id=72978 Priority: medium Bug ID: 72978 Assignee: nouveau at lists.freedesktop.org Summary: nouveau E[ PFIFO][0000:01:00.0] CACHE_ERROR QA Contact: xorg-team at lists.x.org Severity: normal Classification: Unclassified OS: All Reporter: mikhail.v.gavrilov at

Hello R community, I am attempting to run multiple logistic regressions (multinomial, via package 'nnet'), with Automated Model Selection (dredge, package 'MuMIn'). The aim is to reduce the number of predictor variables by assessing relative performance of each variable, which can be done in a coarse fashion using the Automated Model Selection option in package 'MuMIn'

Hi All, I am trying to reproduce this using R instead. [image: Full-size image (38 K)] I tried using the following code *SChla <- read.csv("SM_Chla_data.csv")* *Atlantis <- SChla[16:66,]* *head(Atlantis)* * * Seamount Station Depth Pico Nano Micro Total_Ch dbar Latitude Longitud 16 Atlantis 1217 Surface 0.0639 0.1560 0.0398 0.2597 2.082 -32.71450 57.29733