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...s in the storage,so how long should this rebalance take? What does the number (in this case) 22362 represent? Our gluster infomation: Repository revision: v3.1.1 Volume Name: dfs Type: Distributed-Replicate Status: Started Number of Bricks: 4 x 2 = 8 Transport-type: tcp Bricks: Brick1: 10.1.1.23:/data0 Brick2: 10.1.1.24:/data0 Brick3: 10.1.1.25:/data0 Brick4: 10.1.1.26:/data0 Brick5: 10.1.1.27:/data0 Brick6: 10.1.1.28:/data0 Brick7: 10.1.1.64:/data0 Brick8: 10.1.1.65:/data0 Options Reconfigured: cluster.min-free-disk: 10% network.ping-timeout: 25 network.frame-timeout: 30 performance.cache-max-fi...

...k_noise_shape_quantizer_short_prediction_c(cons #define silk_noise_shape_quantizer_short_prediction(in, coef, coefRev, order, arch) ((void)arch,silk_noise_shape_quantizer_short_prediction_c(in, coef, order)) +static OPUS_INLINE opus_int32 silk_NSQ_noise_shape_feedback_loop_c(const opus_int32 *data0, opus_int32 *data1, const opus_int16 *coef, opus_int order) +{ + opus_int32 out; + opus_int32 tmp1, tmp2; + opus_int j; + + tmp2 = data0[0]; + tmp1 = data1[0]; + data1[0] = tmp2; + + out = silk_RSHIFT(order, 1); + out = silk_SMLAWB(out, tmp2, coef[0]); + + for (j = 2; j &...

...k_noise_shape_quantizer_short_prediction_c(cons #define silk_noise_shape_quantizer_short_prediction(in, coef, coefRev, order, arch) ((void)arch,silk_noise_shape_quantizer_short_prediction_c(in, coef, order)) +static OPUS_INLINE opus_int32 silk_NSQ_noise_shape_feedback_loop_c(const opus_int32 *data0, opus_int32 *data1, const opus_int16 *coef, opus_int order) +{ + opus_int32 out; + opus_int32 tmp1, tmp2; + opus_int j; + + tmp2 = data0[0]; + tmp1 = data1[0]; + data1[0] = tmp2; + + out = silk_RSHIFT(order, 1); + out = silk_SMLAWB(out, tmp2, coef[0]); + + for (j = 2; j &...

...t doesn't work is becayse the event rate gets so small!! set.seed(101) # Note that although data generated is for weibull, I set rho = 1 so it reduces to an exponential hazard, with rate = lambda # Also note sigma = 0, so random effect is not present ## Create data and fit model, lambda = 0.1 data0<-simulWeib(10000,lambda=0.1,rho=1,rateC=0.0000000001, beta1=0.25,beta2=0,beta3=0,beta4=0, sigma = 0) fit.cox0<-parfm(Surv(time,status) ~ x1, data=data0, dist="exponential") fit.cox0 ## Create data and fit model, lambda = 0.01 data0<-simulWeib(10000,lambda=0.01,rho=1,rateC=0.0000...

I'm trying to manually garbage data on bricks (when the volume is stopped) and then check whether healing is possible. For example: Start: # glusterd --debug Bricks (on EXT4 mounted with 'rw,realtime'): # mkdir /root/data0 # mkdir /root/data1 # mkdir /root/data2 Volume: # gluster volume create gv0 replica 3 [local-ip]:/root/data0 [local-ip]:/root/data1 [local-ip]:/root/data2 force volume create: gv0: success: please start the volume to access data # gluster volume start gv0 volume start: gv0: success Mount: # m...

Hi, I have the following test case: define void @foo(<2 x float>* noalias nocapture %out, <2 x float>* noalias nocapture %data0) nounwind { entry: %val1 = load <2 x float>* %data0, align 8 store <2 x float> %val1, <2 x float>* %out, align 8 fence acq_rel %val2 = load <2 x float>* %data0, align 8 store <2 x float> %val2, <2 x float>* %out, align 8 ret void } If I run it though...

...ient opens a file: [...] Locked files: Pid Uid DenyMode Access R/W Oplock SharePath Name Time -------------------------------------------------------------------------------------------------- 19919 501 DENY_ALL 0x2019f RDWR EXCLUSIVE+BATCH /data0/prod ~test~0kjyv(.idlk Tue Sep 30 00:50:24 2008 19919 501 DENY_WRITE 0x20089 RDONLY EXCLUSIVE+BATCH /data0/prod test.indd Tue Sep 30 00:50:24 2008 A *mac* client opens a file: [...] Locked files: Pid Uid DenyMode Access R/W Oplock SharePa...

On 7 June 2013 17:52, Dallman, John <john.dallman at siemens.com> wrote: > Is it possible for the debug information to mark all the instructions that arise > from a > language statement as coming from that statement, even though the instructions may > be widely scattered? Yes. > Instructions whose effects > are used in the logic from more than one statement would have to

...we've been having a problem we've been working around in OpenCL where loads are moving across an intrinsic used for a barrier. Attached is the testcase, and the result of opt -S -basicaa -gvn on it. This example is essentially this: void foo(global float2* result, local float2* restrict data0, ...) { int id = get_local_id(0); // ... data0[id] = ...; barrier(); if (id < N) { float2 x = data0[idx]; int other_index = ...; data0[other_index] = x; } barrier(); result[id] = data0[id]; } This is transformed so that...

Is there a way for a domU to discover size changes of block devices modified by dom0? To make it clear - if I do in dom0 a lvresize of a logical volume given as physical disk to a domU, is there a way to use the new size of this device within the domU without reboot? Thanks Ralf _______________________________________________ Xen-users mailing list Xen-users@lists.xensource.com

-----BEGIN PGP SIGNED MESSAGE----- Hash: SHA1 Hi, I''m using Centos 5.0. When i try to setup a domU with virt-install it all goes well till the partition menu. The anaconda setup can not find any drives. . The virt-install call looks like this: virt-install -n opfer1 -r 400 -f /mnt/data0/domus/opfer1/opfer1 -s 3 - --nographics -p -l http://ftp.halifax.rwth-aachen.de/centos/5.0/os/i386 The strange thing is, that it worked fine on an earlier dom0 installation. I hope you guys have any ideas. Thanks... Lukasz -----BEGIN PGP SIGNATURE----- Version: GnuPG v1.4.5 (GNU/Linux) Comment: U...

On Wed, Jun 12, 2013 at 6:17 PM, Guo, Xiaoyi <Xiaoyi.Guo at amd.com> wrote: > Hi, > > I have the following test case: > > define void @foo(<2 x float>* noalias nocapture %out, <2 x float>* > noalias nocapture %data0) nounwind { > entry: > %val1 = load <2 x float>* %data0, align 8 > store <2 x float> %val1, <2 x float>* %out, align 8 > fence acq_rel > %val2 = load <2 x float>* %data0, align 8 > store <2 x float> %val2, <2 x float>* %out, align 8 &g...

...") tcdata<-read.table("mydata.txt",header=TRUE) postscript("myfigure.ps") basins<- paste(c("b1","b2","b3","b4","b5","b6"),sep="") par(mfrow = c(2,3),mar=c(0,4,0,2),oma=c(5,0,3,0)) for (k in 1:6) { data0=subset(tcdata,basin==basins[k]) attach(data0) model=rq(rain~year,tau=seq(0.1,0.9,0.1)) plot(summary(model,alpha=0.05,se="iid"),parm=2,pch=19,cex=1.2,mar=c(5,5,5,5), ylab=" ",xlab=" ") } dev.off() -- View this message in context: http://r.789695.n4.nabble.com/plott...

...rs have said please obey the mailing list rules and turn off html, not everyone uses an html email client. Here is your code, formatted and with line numbers added. I also fixed one error: "y" should be "status". 1. fit0 <- coxph(Surv(futime, status) ~ x1 + x2 + x3, data = data0) 2. p <- log(predict(fit0, newdata = data1, type = "expected")) 3. lp <- predict(fit0, newdata = data1, type = "lp") 4. logbase <- p - lp 5. fit1 <- glm(status ~ offset(p), family = poisson, data = data1) 6. fit2 <- glm(status~ lp + offset(logbase), family = poiss...

...o find methods for testing and visualizing calibration to Cox models with time-depended coefficients. I have read this nice article <http://journals.sagepub.com/doi/10.1177/0962280213497434>. In this paper, we can fit three models: fit0 <- coxph(Surv(futime, status) ~ x1 + x2 + x3, data = data0) p <- log(predict(fit0, newdata = data1, type = "expected")) lp <- predict(fit0, newdata = data1, type = "lp") logbase <- p - lp fit1 <- glm(y ~ offset(p), family = poisson, data = data1) fit2 <- glm(y ~ lp + offset(logbase), family = poisson, data = data1) group...

I want to analyse data with an unordered, multi-level outcome variable, y. I am asking for the appropriate method (or R procedure) to use for this analysis. > N <- 500 > set.seed(1234) > data0 <- data.frame(y = as.factor(sample(LETTERS[1:3], N, repl = T, + prob = c(10, 12, 14))), x1 = sample(1:7, N, repl = T, prob = c(8, + 8, 9, 15, 9, 9, 8)), x2 = sample(1:7, N, repl = T, prob = 7:1), + x3 = round(rnorm(N, 0, 1), 0) + 4) In [1], the use of "mlogit" is descri...

...promises) plan(multiprocess) heavyFunction <- function(n){ Sys.sleep(n) print(n) } ui <- fluidPage( actionButton("go","Show the data"), textOutput("result0sec"), textOutput("result10sec") ) server <- function(input,output,session){ data0 <- eventReactive(input$go,{ heavyFunction(0) }) data10 <- eventReactive(input$go,{ future(heavyFunction(10)) }) output$result0sec <- renderText({ data <- data0() print(data) }) output$result10sec <- renderText({ data <- data10() data%...&...

...ucture CV11 has a value of 15, structure IN12 has a value of 4). But what I want to know is, if we take all the trees having a final value higher than 100 (we create a new dataframe "data100"), and we compare with the trees having a final value under 100 (we create another dataframe "data0"), can we find a significant difference in the number and occurrence of structures found on these trees? And which structure is related to trees with a higher value than 100?? For now, I have only a visual answer to the question. I did two boxplot of the data100 and data0, and I have seen some...

...ter (Connected) > > Hostname: elkpinfglt07 > Uuid: 4baff5cf-6e81-4b2e-b31f-be725b2da4b3 > State: Peer Rejected (Connected) > > The node where I'm probing from complains about not able to find > information on elkpinfglt07 but then it's found anyway and checksums > on data0 volume aren't the same: > > [2017-11-30 20:12:24.278996] I [MSGID: 106487] > [glusterd-handler.c:1241:__glusterd_handle_cli_probe] 0-glusterd: > Received CLI probe req elkpinfglt07 24007 > [2017-11-30 20:12:24.279999] I [MSGID: 106129] > [glusterd-handler.c:3670:glusterd_probe...

Following Tim's comments, here are my reworked patches for the Neon intrinsic function patches of of my Aarch64 patchset, i.e. replacing patches 5-8 of the v2 series. Patches 1-4 and 9-18 of the old series still apply unmodified. The one new (as opposed to changed) patch is the first one in this series, to add named constants for the ARM architecture variants. There are also some minor code