similar to: interprete wilcox.test results

In a code segment of my pass plugin, I try to gather AliasSets for all StoreInst, LoadInst and CallInst instructions in a function. Some behaviors of the pass puzzled me. Below is the *.ll of the test program which I run the pass on, it was get with "llvm-gcc -Wl,--disable-opt" from a rather simple *.c program. ---------------------------------- ; ModuleID = 'ptralias.bc'

Nithya, Responding to an earlier question: Before the upgrade, we were at 3.103 on these servers, but some of the clients were 3.7.6. From below, does this mean that ?shared-brick-count? needs to be set to 1 for all bricks. All of the bricks are on separate xfs partitions composed hardware of RAID 6 volumes. LVM is not used. The current setting for cluster.min-free-inodes was 5%. I changed it to

Oh, I appologize that I should not have asked about __main() ---- it appears in FAQ. But the question remains that why call to __main() can alias stack location? I think the memory location pointed by data_X pointers are not visible to __main(). In comparison, calls to printf() do not have similar effect. On 5/14/06, Nai Xia <nelson.xia at gmail.com> wrote: > > In a code segment of

On 31 January 2018 at 21:34, Freer, Eva B. <freereb at ornl.gov> wrote: > Nithya, > > > > Responding to an earlier question: Before the upgrade, we were at 3.103 on > these servers, but some of the clients were 3.7.6. From below, does this > mean that ?shared-brick-count? needs to be set to 1 for all bricks. > > > > All of the bricks are on separate xfs

The values for shared-brick-count are still the same. I did not re-start the volume after setting the cluster.min-free-inodes to 6%. Do I need to restart it? Thanks, Eva (865) 574-6894 From: Nithya Balachandran <nbalacha at redhat.com> Date: Wednesday, January 31, 2018 at 11:14 AM To: Eva Freer <freereb at ornl.gov> Cc: "Greene, Tami McFarlin" <greenet at

Hi Chris, I took a haste look at the "Points-to Analysis in Almost Linear Time" by Steens , your PHD thesis and SteensGaard.cpp in LLVM this afternoon. So I think: 1. Actually the basic algorithm described originally by SteensGaard does not provide MOD/REF information for functions. 2. The context insensitive part of Data Structure Analysis (LocalAnalysis) can be deemed as an

On Wed, 17 May 2006, Nai Xia wrote: > Unfortunately, I did not locate the lines in steens-aa for "printf" special case. > In ds-aa, I found the lines below: Right, steens-aa and ds-aa share code for "local analysis", they just stitch it together into an interprocedural analysis in different ways. The code below is used for steens-aa. >

On Mon, 15 May 2006, Nai Xia wrote: > In other words, if I only use -steens-aa and the data_XXXs are all > external global variables( and so inComplete ), Sounds right! > the call to printf will > make the same effect, which I have tested it. > > Am I right ? :) If you've tested it then, yes you're right :). I haven't played with this stuff for a long time,

On Tuesday 16 May 2006 03:19, Chris Lattner wrote: > On Mon, 15 May 2006, Nai Xia wrote: > > > In other words, if I only use -steens-aa and the data_XXXs are all > > external global variables( and so inComplete ), > > Sounds right! > > > the call to printf will > > make the same effect, which I have tested it. > > > > Am I right ? :) >

On 31 January 2018 at 21:50, Freer, Eva B. <freereb at ornl.gov> wrote: > The values for shared-brick-count are still the same. I did not re-start > the volume after setting the cluster.min-free-inodes to 6%. Do I need to > restart it? > > > That is not necessary. Let me get back to you on this tomorrow. Regards, Nithya > Thanks, > > Eva (865) 574-6894

Nithya, I will be out of the office for ~10 days starting tomorrow. Is there any way we could possibly resolve it today? Thanks, Eva (865) 574-6894 From: Nithya Balachandran <nbalacha at redhat.com> Date: Wednesday, January 31, 2018 at 11:26 AM To: Eva Freer <freereb at ornl.gov> Cc: "Greene, Tami McFarlin" <greenet at ornl.gov>, "gluster-users at

Dear R community, I wish to include a variable (e.g. slice of "a" below) in another variable's name. My objective would be to get a variable-name "data_A" and so on. How can I do this? > a<-LETTERS[1:25] > a [1] "A" "B" "C" "D" "E" "F" "G" "H" "I" "J"

Hi Eva, I'm sorry but I need to get in touch with another developer to check about the changes here and he will be available only tomorrow. Is there someone else I could work with while you are away? Regards, Nithya On 31 January 2018 at 22:00, Freer, Eva B. <freereb at ornl.gov> wrote: > Nithya, > > > > I will be out of the office for ~10 days starting tomorrow. Is

Hi Freer, Our analysis is that this issue is caused by https://review.gluster.org/17618. Specifically, in 'gd_set_shared_brick_count()' from https://review.gluster.org/#/c/17618/9/xlators/mgmt/glusterd/src/glusterd-utils.c . But even if we fix it today, I don't think we have a release planned immediately for shipping this. Are you planning to fix the code and re-compile? Regards,

Amar, Thanks for your prompt reply. No, I do not plan to fix the code and re-compile. I was hoping it could be fixed with setting the shared-brick-count or some other option. Since this is a production system, we will wait until a fix is in a release. Thanks, Eva (865) 574-6894 From: Amar Tumballi <atumball at redhat.com> Date: Wednesday, January 31, 2018 at 12:15 PM To: Eva Freer

Hi, I think we have a workaround for until we have a fix in the code. The following worked on my system. Copy the attached file to */usr/lib*/glusterfs/**3.12.4**/filter/*. (You might need to create the *filter* directory in this path.) Make sure the file has execute permissions. On my system: [root at rhgsserver1 fuse2]# cd /usr/lib/glusterfs/3.12.5/ [root at rhgsserver1 3.12.5]# l total 4.0K

Dear All, I have a data, suppose it is an N*M matrix data. All I want is to classify it into, let see, 3 classes. Which method(s) do you think is(are) appropriate for this purpose? Any reference will be welcome! Thanks! Best, Baoqiang Cao

Dear All, I am producing a figure with many curves on it. How do I make the legends for all those curves smaller so that it can fit the figure itself? The commands I used for ploting are: plot(x1,y1,col=1,lty=1) lines(x2,y2,col=2,lty=2) ... legend(0.3,0.4,c("name1","name2",...),col=1:20,lty=1:20) Any tips for making the legend fit the figure will very welcome! Thanks! Best,

Dear All, I was trying to format a numeric vector (100*1) by using outd <- format(x=m, sci=F, digits=2) > outd[1:10] [1] " 0.01787758" "-0.14760306" "-0.45806041" "-0.67858525" "-0.64591748" [6] "-0.05918100" "-0.25632276" "-0.15980138" "-0.08359873" "-0.37866688" >m[1:10] [1]

Dear All, I'm learning to train a neural network with my training data by using nnet package, then evaluate it with a evaluation set. My problem here is that, I need the trained network to be used in future, so, what should I store? and How? Any other options other than nnet package? Any example will be highly appreciated! Best, Baoqiang Cao