similar to: [LLVMdev] Fix for "Bad fd number" error in test_debuginfo.pl

Hi, Attached is a simple patch to fix a "Bad fd number" error in test_debuginfo.pl which has come about because of an invalid redirection in the system call. Normally the stdout+stderr to file redirection is "&>" (not ">&" as in the script!), but I have found this to be unsupported on all shell types (I think it was introduced in bash at version 4, for

Hi, Please could someone kindly review this patch for me? Many thanks Andy On Wednesday, July 18, 2012 9:15 AM, Andy Gibbs wrote: > Hi, > > I'm not sure where to post this since it relates to the "debuginfo-tests" > repository, so please tell me where to forward it if this is the wrong > place! > > I've fixed the forward-declare-class.cpp test-case in

> On Dec 6, 2017, at 10:10 AM, Zachary Turner <zturner at google.com> wrote: > > Adrian, Mike, Chris? Any update on this? I've temporarily switched to working on something different, but I plan to be back on this in a couple of weeks. It's been a month since my first revert of this CL, which seems like a reasonable amount of lead-time to deal with issues surrounding

> On Dec 6, 2017, at 10:21 AM, Zachary Turner <zturner at google.com> wrote: > > Can I have some assurance that if it fails again, someone will look into who has access to the builders so I don't have to keep doing speculative commits? Sure. I did this last time and I promise to also do it this time. -- adrian > > On Wed, Dec 6, 2017 at 10:13 AM Adrian Prantl

Hi Zachary: I was able to reproduce the greendragon results locally (OSX), and fix the problem by excluding 'debuginfo-tests' from check-clang -- this prevents them from being added twice, once for check-clang and again for check-debuginfo. Below are the minimized patches I used to reproduce and fix the problem -- based on your originals. I've verified these patches work when

Hi again, Any interest in this patch to incorporate lld testing into "make check-all" when lld built as part of llvm? Is this the best place to post patches for lld? I've attached it again here to include a missing dependency. Cheers Andy On Thursday, July 26, 2012 1:45 PM, Andy Gibbs wrote: > Hi, > > Attached is a patch which incorporates the lld test-suite into

I have been using the rtmvt function in the {tmvtnorm} package i'm getting the warning: "Acceptance rate is very low and rejection sampling becomes inefficient. Consider using Gibbs sampling." but i AM specifying the gibbs algorithm!!: rtmvt(M, mean=q[,,i,j], sigma=((u[i,j] + nu[i])/(p+nu[i]))*delta[,,i], df=ceiling(nu[i]+p), lower=c(0,0), algorithm="gibbs") Any

I have downloaded the Umacs (Universal Markov chain sampler) and submitted the following sample code from Kerman and Gelman.   s <-Sampler( J=8, sigma.y  =c(15,10,16,11,9,11,10,18),           y  =c(28, 8,-3,7,-1,1,18,12),      theta =Gibbs(theta.update,theta.init),           V =Gibbs(V.update,mu.init),         mu =Gibbs(mu.update,mu.init),         tau =Gibbs(tau.update,tau.init),       

On Tuesday, July 31, 2012 7:19 PM, Andy Gibbs wrote: > I'm afraid it looks like commit r160899 has broken two test-cases > which are part of the "debuginfo-tests" repository. I believe I > have narrowed it down to the correct commit... Erm, but I didn't post the details (obviously too much in a rush to get home last night! My apologies!) So here it is: The tests that

Hi, I want to use R_qsort_int_I() in my C function, but getting the following error. It looks like there is a conflict between Rmath.h, which I use to generate random numbers, and R_ext/Boolean.h I would appreciate any help to fix this problem. gcc -ansi -g -o Gibbs gibbs.c subroutines.o rand.o vector.o -lm -lRmath -llapack -lblas -lfrtbegin -lg2c -lm -shared-libgcc In file included from

Hello, thank you very much for your previous answers about the C++ code. I am interested in the application of the Gibbs Sampler in the IRT models, so in the function MCMCirt1d and MCMCirtkd. I've found the C++ source codes, as you suggested, but I cannot find anything about the Gibbs Sampler. All the files are for the Metropolis algorithm. Maybe I am not able to read them very well, by the

Hello! I was wondering if it's possible to see the actual code of checkTmvArgs function that is part of the code for rtmvnorm (which is below - I just typed "rtmvnorm" on the prompt). I get an error: Error in checkTmvArgs(mean, sigma, lower, upper) : sigma must be a symmetric matrix At the same time I am pretty sure that the matrix I am passing as sigma is a var-covar matrix

Since this is causing all of our internal CI to back up, could you please revert your two changes, so we can make sure that they were actually responsible, and can work on a fix for this? Let me know how we can help investigate this. -- adrian > On Nov 13, 2017, at 3:25 PM, Adrian Prantl via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > The first build where a test fails with

I try to fit a LDA model to a TermDocumentMatrix with the topicmodels package... but R says: > Error in LDA(TDM, k = k, method = "Gibbs", control = list(seed = SEED, : > x is of class ?TermDocumentMatrix??simple_triplet_matrix? > class(TDM) > [1] "TermDocumentMatrix" "simple_triplet_matrix" I try to use a matrix... but don't work: > MAT

Hello R community, following is my code and it shows error, can some one fix this error and explain why this occurs? gibbs <-function(m,n, theta = 0, lambda = 1){ alpha <- 1.5 beta <- 1.5 gamma <- 1.5 x<- array(0,c(m+1, 3)) x[1,1] <- theta x[1,2] <- lambda x[1,3]<- n for(t in 2:m+1){ x[t,1] <- rbinom(x[t-1,3], 1, x[t-1,1])

Yes I can reproduce this locally. It looks like we are not passing an -isysroot (pointing to the SDK) to clang but it isn’t clear what lit magic would expand this. -- adrian > On Nov 13, 2017, at 3:30 PM, Zachary Turner <zturner at google.com> wrote: > > Yea I'm preparing a revert right now. Does it happen for you when you run debuginfo-tests locally? > > On Mon, Nov

Hi, I have to draw samples from an asymmetric-Laplace-Normal distribution: f(u|y, x, beta, phi, sigma, tau) \propto exp( - sum( ( abs(lo) + (2*tau-1)*lo )/(2*sigma) ) - 0.5/phi*u^2), where lo = (y - x*beta) and y=(y_1, ..., y_n), x=(x_1, ..., x_n) -- sorry for this huge formula -- A WinBUGS Gibbs sampler and the HI package arms sampler were used with the same initial data for all parameters. I

Dear R-users I have a problem choosing initial points for the function arms() in the package HI I intend to implement a Gibbs sampler and one of my conditional distributions is nonstandard and not logconcave. Therefore I'd like to use arms. But there seem to be a strong influence of the initial point y.start. To show the effect I constructed a demonstration example. It is reproducible

I have the following code, gibbs <-function(m,theta = 0.25, lambda =0.55, n =1){ alpha <- 1.5 beta <- 1.5 gamma <- 1.5 x<- array(0,c(m+1, 3)) x[1,1] <- theta x[1,2] <- lambda x[1,3]<- n for(t in 2:(m+1)){ x[t,1] <- rbinom(1, x[t-1,3], x[t-1,1]) x[t,2]<-rbeta(1, x[t-1,1] + alpha, x[t-1,3] - x[t-1,1] + beta) x[t,3]

Dear all, I'm currently experiencing big troubles with my C code called by .Call in a R function. I know this may not be the right place for such things but these errors are driving me crazy. And I hope other people may have already experienced these problems so that they could give me good suggestions. Sorry if I'm completely out of topic. Well let's go... I'm writing a