similar to: Problem with AUTH causes serverside lockup

As you can probably guess from my today's burst of activity, I'm no longer extremely busy. Actually it looks like for the next 3-4 weeks I don't have anything especially time consuming to do. So it's time to get Dovecot v1.0 released :) I've now read all the mails from this list again, and it looks like pretty much the only problems with rc10 was the mbox assert crash, which

As promised a few days ago, 1.0.alpha1 release is now available from Dovecot web page. Changes since 1.0-test80 include only one mbox assert crashfix and removed fsync() call when writing to transaction log, making it a bit faster. I changed the version number also since 1.0-tests to 1.0.alpha. I know '-' is problematic to binary package builders, maybe the new versioning is better?

Hi, is it possible to configure dovecot's logging so it logs stuff like "User x logged in from IP/Host y and had z new messages" like I'm used from qpopper? That immensely helps when debugging PEBKAC issues. Enabling auth_verbose isnt really helpfull since a failed login generates 4 lines, some even without a pid - so it's a bit hard guessing which log entry belongs to

Since a couple of hours I see *a lot* of the following messages in my maillog: Feb 17 15:37:35 defiant dovecot: imap(mmaurer at betterbe.com): Growing pool 'maildir_uidlist_sync' with: 32768 Feb 17 15:37:35 defiant dovecot: imap(mmaurer at betterbe.com): Growing pool 'maildir_uidlist_sync' with: 65536 Feb 17 15:37:35 defiant dovecot: imap(mmaurer at betterbe.com): Growing pool

I'm using gluster for a virt-store with 3x2 distributed/replicated servers for 16 qemu/kvm/libvirt virtual machines using image files stored in gluster and accessed via libgfapi. Eight of these disk images are standalone, while the other eight are qcow2 images which all share a single backing file. For the most part, this is all working very well. However, one of the gluster servers

Well, it looks like I've stumped the list, so I did a bit of additional digging myself: azathoth replicates with yog-sothoth, so I compared their brick directories. `ls -R /var/local/brick0/data | md5sum` gives the same result on both servers, so the filenames are identical in both bricks. However, `du -s /var/local/brick0/data` shows that azathoth has about 3G more data (445G vs 442G) than

http://dovecot.org/test/ I've been running this for two hours now without problems. I guess it's pretty stable. - Keyword support finally included. Not too well tested, but I couldn't get it to break. Doesn't store the keywords into maildir/mbox yet. Hopefully soon. - Major reorganization of code in dovecot-auth, and not yet finished. Load balancing between multiple auth

There are two misspellings in the german Error message for friedman test: Fehler in friedman.test.default(cont$score, group = cont$goup, blocks = cont$cont) : y, Gruppen und blöcke müssen die sekbe Länge haben The correct spelling would be: Fehler in friedman.test.default(cont$score, group = cont$goup, blocks = cont$cont) : y, Gruppen und *Blöcke* müssen die *selbe* Länge haben Instead of

Hi all, This is probably going to come off as unnecessary (and show my ignorance) but I am trying to understand the parameter estimates I am getting from R when doing an ANCOVA. Basically, I am accustomed to the estimate for the categorical variable being equivalent to the respective cell means minus the grand mean. I know is the case in JMP - all other estimates from these data match the

On Tue, Feb 27, 2018 at 04:59:36PM +0530, Karthik Subrahmanya wrote: > > > Since arbiter bricks need not be of same size as the data bricks, if you > > > can configure three more arbiter bricks > > > based on the guidelines in the doc [1], you can do it live and you will > > > have the distribution count also unchanged. > > > > I can probably find

Hi All, I have a doubt regarding join tables I''m having 2 models 1)Fac 2)Cont and both models have " has and belong to many" relationships so there are 3 tables 1)facs 2)conts 3)conts_facs then i''m fetching the data in controller as @conts=Cont.find(:all]) @cfacs=Fac.all(:joins=>:conts, :select=>"facs.name") but i dont know how to get the

Dear list, I cannot figure out why, after sub-setting my data, that particular item which I don't want to plot is still in the newly created subset (please see example below). R somehow remembers what was in the original data set. A work around is exporting and importing the new subset. Then it's all fine; but I don't like this idea and was wondering what am I missing here? Thanks!

Good Evening, I recently purchased an EPYC quantum UPS. I installed NUT on the home assistant by connecting the UPS via USB and tried all the various drivers in the list, the only one that seems to work is: usbhid-ups with this log: s6-rc: info: service s6rc-oneshot-runner: starting s6-rc: info: service s6rc-oneshot-runner successfully started s6-rc: info: service base-addon-banner: starting

Trying to update Bug 306 I installed wine-20020411.tar.gz The debugger won't let me "finish". Unhandled exception: stack overflow in 32-bit code (0x406c364c). In 32-bit mode. Symbol h_errno is invalid Symbol __strtol_internal is invalid 0x406c364c (SPY_EnterMessage+0xc [spy.c:2078] in user32.dll.so): call 0x406c3651 (SPY_EnterMessage+0x11 [spy.c:2078] in user32.dll.so) 2078 {

Hola a todos: Estoy intentando visualizar unos resultados de un programa en R de forma dinámica. Dichos resultados se pueden representar, básicamente, con un plano que gira sobre uno de sus ejes: para dar sensación de movimiento he utilizado la función rgl.clear(), ya que no encuentro los equivalentes en rgl de los parámetros add o new. El problema es que al limpiar la pantalla con rgl.clear la

Dear R-devel list members, I'd like to suggest a more flexible procedure for generating contrast names. I apologise for a relatively long message -- I want my proposal to be clear. I've never liked the current approach. For example, the names generated by contr.treatment paste factor to level names with no separation between the two; contr.sum simply numbers contrasts (I recall an

Hi, I found that using different contrasts (e.g. contr.helmert vs. contr.treatment) will generate different fitted probabilities from multinomial logistic regression using multinom(); while the fitted probabilities from binary logistic regression seem to be the same. Why is that? and for multinomial logisitc regression, what contrast should be used? I guess it's helmert? here is an example

Dear R-philes: I am having an issue with exporting contingency tables with xtable(). I set up a contingency and convert it to a matrix for passing to xtable() as shown below. v.cont.table <- table(v_lda$class, grps, dnn=c("predicted", "observed")) v.cont.mat <- as.matrix(v.cont.table) Both produce output as follows: observed predicted uh uh~ uh 201

Hi people, just a question: Is it possible to execute Voicemail command in the h extension? (after hangup the channel). Because if I put it before it, it works right, but if I put it there, it doesn't... The log is: -- Executing [h at cont-mine:1] NoOp("SIP/3005-096736a8", "End of cont-mine") in new stack -- Executing [h at cont-mine:2]

Hi, I am trying to test the proportional-odds model using the "polr" function in the MASS library with the dataset of "housing" contained in the MASS book ("Sat" (factor: low, medium, high) is the dependent variable, "Infl" (low, medium, high), "Type" (tower, apartment, atrium, terrace) and "Cont" (low, high) are the predictor variables