similar to: [LLVMdev] Publication Generation of TLM Testbenches Using Mutation Testing

Very interesting, thanks for the forward! If you're interested in having a link posted on llvm.org, please email the llvmdev mailing list. -Chris On Jan 30, 2013, at 9:42 AM, Marcelo Sousa <marceloabsousa at gmail.com> wrote: > Dear all, > > I would like to share a paper I co-authored with Prof. Alper Sen. This > paper describes an algorithm to generate testbenches from

Hi, I will soon be committing a change to MachineFrameInfo::CreateStackObject that removes the "bool MayNeedSP" parameter. This API change is part of larger patch that re-works stack layout passes to use analysis from the StackProtector pass to layout StackProtected objects (http://llvm-reviews.chandlerc.com/D2158). Out of tree targets will need to update their usage accordingly. The

Hi, I have a big flac file, i can divide this flac file into chunks by visual basic code, i can add header to these chunks by copying first 1K to other chunks, but chunks can not play properly, i think i need to change filesize from file headers of these chunks, i can read samplerate and samples count from header, but i do not know how can i calculate file size without reading all file, what

Hello, 1) I am interested in performing a limited-dependent variable linear regression. By this I mean a classical linear regression, but for the case where the values of the dependent variable cannot vary from -infinity to +infinity, but are truncated and so are between two finite limits L1 and L2. Does R1.7 have this capability? If so what is (are) the relevant command(s)? 2) I am also

Dear all, I'm happy to share a recent publication on a bounded model checker for concurrent programs represented in LLVM IR that integrates the verification framework that I'm developing: Marcelo Sousa, and Alper Sen, LLVMVF: A Generic Approach for Verification of Multicore Software. Journal of Electronic Testing: Theory and Applications, September 2013. (

Hello, I have being conducting some (conditional logistic) regressions (clr), and I'm interested in extracting and manipulating (as a number) the p-values. (This is a prelude to some power simulations, where I'll generate data sets, perform a clr on each data set, and then extract the p-value for calculation of the power.) From what I can tell, the p-value is not one of the quantities

dmesg -t | grep -i nvidia nouveau 0000:02:00.0: NVIDIA G98 (098200a2) input: HDA NVidia Rear Mic as /devices/pci0000:00/0000:00:07.0/sound/card0/input6 input: HDA NVidia Front Mic as /devices/pci0000:00/0000:00:07.0/sound/card0/input7 input: HDA NVidia Line as /devices/pci0000:00/0000:00:07.0/sound/card0/input8 input: HDA NVidia Line Out Front as /devices/pci0000:00/0000:00:07.0/sound/card0/input9

Hi, I'm trying to perform a power simulation for a simple multilevel model, using the function glmmPQL in R version 2.8.1. I want to extract the p-value for the fixed-effects portion of the regression, but I'm having trouble doing that. I can extract the coefficients (summary(fit)$coeff), and the covariance matrix (summary(fit)$varFix), but I can't grab the p-value (or the

I have the following situation: I drop a call-file into the Asterisk spool directory and I get called back. That all works. And I have this script: #!/usr/bin/perl -w use Asterisk::AGI; my $AGI = new Asterisk::AGI; my %input = $AGI->ReadParse(); $AGI->answer(); my $i; $i = $AGI->channel_status(); $AGI->say_digits($i); $i =

Hi, I am looking for genetic optimization package that allow to define my own chromosome solution and crossover/mutation opoerations. I checked genoud and genopt, not with much effort of 'cause, with no luck. Any one can shed some light on this? thanks.

Dear R-users, Could someone please explain why the message printed by function stopifnot2, see below, is different from that of stopifnot itself? Thank you for your help, Vadim > stopifnot2 <- function(...) stopifnot(...) > stopifnot(F) Error: F is not TRUE > stopifnot2(F) Error: ..1 is not TRUE > version _ platform i386-pc-mingw32 arch i386 os

Hello - does anyone know whether there are any packages for Mann-Kendall mutation tests in R available? The only one I could find online is this MK_mut_test: Mann-Kendall mutation test in Sibada/sibadaR: Sibada's accumulated R scripts for next probably use to avoid reinventing the wheel. (rdrr.io) <https://rdrr.io/github/Sibada/sibadaR/man/MK_mut_test.html> but there doesn't seem to

Hello, everybody. We are working on a tool for mutation testing. The work is still in progress and far away from being done. However, we have got some results already. And we would like to share them with you. But, let me give you a brief introduction first. ### Mutation Testing In a nutshell, Mutation Testing is a way to evaluate a quality of a test suite. The approach suggests introducing a

Hi. I am new to asterisk. I have an ivr application with asterisk and voiceglue. I make a call from asterisk (say to A) and when callee press a button voiceglue transfer the callee to another number (say to B). When I look cdr records the billsec between A and B always 0 and billsec with A shows the billsec for A and B. I am confused. Is there a reliable way to get the real call durations? Best

Hi, I'm interested in performing a regression of dependent variable y on independent variable x, where (x,y) are known only for y < c, where c is a constant. For y >= c, neither x or y are known. This is called a truncated regression, I believe. I read a post on the R help list, that recommended doing the following: "The form for the response is Surv(c,y,1), but it

CRAN (and crantastic) updates this week New packages ------------ * DCGL (1.0) Bao-Hong Liu http://crantastic.org/packages/DCGL Functions for basic differential coexpression analyses: gene filtering, link filtering, DCG (Differentially-Coexpressed Gene) identification and DCL (Differentially-Coexpressed Links) identification.Two algorithms,named DCP and DCe, are provided for

Hello colleagues, I am attempting to determine the nonlinear least-squares estimates of the nonlinear model parameters using nls. I have come across a common problem that R users have reported when I attempt to fit a particular 3-parameter nonlinear function to my dataset: Error in nls(r ~ tlm(a, N.fix, k, theta), data = tlm.data, start = list(a = a.st, : step factor 0.000488281

Hello, I forgot to put my #/etc/shorewall/policy file: # /etc/shorewall/policy ############################################################################### #SOURCE DEST POLICY LOG LIMIT: CONNLIMIT: # LEVEL BURST MASK # adm net DROP info tlm net DROP info # net adm DROP

Great! Can you please check in that test case or better still, a reduced version of that test. Thanks -Anshu --- Qualcomm Innovation Center, Inc. is a member of Code Aurora Forum, hosted by The Linux Foundation On 12/11/2012 5:47 AM, Carlos Sánchez de La Lama wrote: > Hi again, > > I can confirm r169783 fixes the problem. My testbench segfaulted in > r169782 but works after your