similar to: XML error: missing security model on virsh migrate

Hi Reid, Thank you for your response. In my analysis, I will always have entry(2) and exit(2). I will not run into cases involving entry (1+1) or entry (fn return values). I am having trouble trying to compare the arguments of entry and exit in the following scenario. #include<stdio.h> #include<stdlib.h> #include<pthread.h> struct sa { int a; pthread_mutex_t *mutex1;

Hi, I am trying to identify if two functions were called with exactly the same argument. For instance, in the below example, assuming both entry() and exit() functions take a single argument, I would like to know if arg1 in entry() is same as arg1in exit(). int a; struct sa { int b; int c; }; int main () { struct sa s; entry (arg1); ... exit (arg1); return 0; } In

Hi, I am trying to migrate a guest domain from one node to another. I've tried several options of the virsh migrate command, but in vain. It seems to be a networking issue. I wanted to make sure that my setup is correct and that I am not missing anything. I've issued the below command on the source node (n0): [user at n0 ~]$ virsh --connect qemu:///system migrate --verbose

Hi, I am trying to migrate a guest domain from one node to another. I've tried several options of the virsh migrate command, but in vain. It seems to be a networking issue. I wanted to make sure that my setup is correct and that I am not missing anything. I've issued the below command on the source node (n0): [user at n0 ~]$ virsh --connect qemu:///system migrate --verbose

Could you be more precise about what you mean by "identical"? Would entry(2) and entry(1+1) be considered equivalent? If the same Value* is passed to entry and exit, then pointer equality (==) will detect that. Reid On Mon, Mar 7, 2011 at 8:08 AM, Hari Pyla <harip at vt.edu> wrote: > Hi, >  I am trying to identify if two functions were called with exactly the same

Hi, I am instrumenting the stores in a program by inserting a function call (store_prologue) before every store instruction in the IR file. I set the prologue function's attribute to "AlwaysInline" using addFnAttr(). In the program the prologue function is defined as static inline. I am using opt to generate an optimized (inline the calls to the store prologue) using the

If I understand correctly, you're saying that the C source definition of the prologue function is declared as static. If you compile that function to LLVM IR, it will get interal linkage and will not be visible to functions in other compilation units; instead, it will get renamed if there is a function defined with the same name. As such, it will never get inlined as the instrumented code

On Mon, Mar 7, 2011 at 8:03 PM, Hari Pyla <harip at vt.edu> wrote: >  Thank you for your response. In my analysis, I will always have > entry(2) and exit(2). I will not run into cases involving entry (1+1) or > entry (fn return values). I am having trouble trying to compare the > arguments of entry and exit in the following scenario. > > #include<stdio.h> >

Hi all, I have a following problem: - Remus network buffering doesn''t work. It seems to be because of no vif is reported by the function server.xend.domain on line 29 of /usr/local/lib/python2.7/dist-packages/xen/remus/vm.py (seen using pdb) : 27 if domid: 28 try: 29 self.dominfo = server.xend.domain(domid, ''all'') >

Hello, I''ve recently setup a Linux Dom0 with a 3.0.17 kernel and Xen 4.1.2, and since the 3.x series doesn''t have blktap support I''m using qdisk to attach raw images. I''ve been playing with small images, something like 1GB, and everything seemed fine, speed was not fantastic but it was ok. Today I''ve set up a bigger machine, with a 20GB raw hdd and the

Dear R Help, I read through the archives pretty extensively before sending this email, as it seemed there were several threads on using predict with GLM. However, while my issue is similar to previous posts (cannot get it to predict using new data), none of the suggested fixes are working. The important bits of my code: set.seed(644) n0=200 #number of observations

Hello all, I would like to get parameter estimates for different models. For one of them I give the code in example. I am estimating the parameters (i,j and k) with the nls function, which sees the error distribution as normal, I would however like to do the same as nls with the assumption that the errors are poisson distributed. Is there a way to do this with R? Are there packages designed

Hi all, I have some problems with the mle2 function > RogersIIbinom <- function(N0,attackR3_B,Th3_B) {N0-lambertW(attackR3_B*Th3_B*N0*exp(-attackR3_B*(24-Th3_B*N0)))/(attackR3_B*Th3_B)} > RogersII_B <- mle2(FR~dbinom(size=N0,prob=RogersIIbinom(N0,attackR3_B,Th3_B)/N0),start=list(attackR3_B=1.5,Th3_B=0.04),method="Nelder-Mead",data=dat) Error in dbinom(x, size, prob, log)

Hi, I am new in R and stumbled on a problem my (more experienced) friends can not help with with. Why isnt this code working? The function is working, also with the loop and the graph appears, only when I build another loop around it (for different values of p) , R stays in a loop? Can't it take more then 2 loops in one program? powerb<-function(x,sp2,a,b,b1,m) {

Hi all, I've been working on a backend of our architecture and noticed llvm performs following combining although one of operands is FrameIndex. Combining: t114: i64 = add FrameIndex:i64<0>, Constant:i64<56> Creating new node: t121: i64 = or FrameIndex:i64<0>, Constant:i64<56> ... into: t121: i64 = or FrameIndex:i64<0>, Constant:i64<56> This

I am trying to define a general R function that has a function as the output that depends on the user's input arguments (this may make more sense by looking at the toy example below). My real use for this type of code is to allow a user to choose from many parameterizations of the same general model. My "issue" is that when I compile a package with this type of code in it I get a

Hi I am trying to register shadow a global variable using -ffixed option in llvm-gcc. I am able to accomplish this using gcc however llvm-gcc seems to ignore this option and generate code using the register. command line: >gcc -Wall -m64 -O3 -pthread -ftls-model=initial-exec -ffixed-r12 test.c -o test >objdump -d ./test | grep r12 >llvm-gcc -Wall -m64 -O3 -pthread

Hi, When trying to attach a created volume to an instance using the virsh utility I am running into this error :- [] $ sudo virsh attach-device instance-00000015 disk.xml error: Failed to attach device from disk.xml error: internal error unable to execute QEMU command '__com.redhat_drive_add': Device 'drive-virtio-disk21' could not be initialized For experimental purpose I

Hi all, When I try to estimate the functional response of the Rogers type I equation (for the mle2 you need the package bbmle): > RogersIbinom <- function(N0,attackR2_B,u_B) {attackR2_B+u_B*N0} > RogersI_B <- mle2(FR~dbinom(size=N0,prob=RogersIbinom(N0,attackR2_B,u_B)/N0),start=list(attackR2_B=4.5,u_B=0.16),method="Nelder-Mead",data=data5) I get following error message

Dear list, I have the function (as a simple example, which is actually part of a larger function) pres.test<-function(N0=N0, N1=N1) { dt<-5 r<-log(N1/N0)/dt r } which calculates the annual growth rates in a population Where N0 is the population classified into age intervals, say 5 years, at time=1995, and N1 is the population by 5 year age classes at time=2000.