similar to: Syntax question: assigning sparse matrix elements

Hi all: I create one share named gr?zer but the share can?t be accessed.I looked into the log, and find the share name will be transformed to upper case and then lower case. The ASCII can be transformed in between successfully, but German can?t. It leaded to access failed. I also tried the upper case share gr?zer, and it works successfully. It seems the lower case can?t be transformed back

Hello all, I have written a pass, which replaces condition branchinst using indirectBr to obfuscate program. The origin IR is as the following: br i1 %1, label %2, label %3 And the transformed IR is as the follwoing: %4 = select i1 %1, i8* blockaddress(@func, %2), i8* blockaddress(@func, %3) indirectbr i8* %4, [label %2, label %3] The pass's core function is as the

On Wed, Mar 08, 2017 at 03:09:48PM +0800, Yuanhan Liu wrote: > On Wed, Mar 01, 2017 at 03:07:29AM +0200, Michael S. Tsirkin wrote: > > On Tue, Feb 28, 2017 at 12:29:43PM +0800, Yuanhan Liu wrote: > > > Hi Michael, > > > > > > Again, as usual, sorry for being late :/ > > > > > > On Wed, Feb 22, 2017 at 06:27:11AM +0200, Michael S. Tsirkin

On Wed, Mar 08, 2017 at 03:09:48PM +0800, Yuanhan Liu wrote: > On Wed, Mar 01, 2017 at 03:07:29AM +0200, Michael S. Tsirkin wrote: > > On Tue, Feb 28, 2017 at 12:29:43PM +0800, Yuanhan Liu wrote: > > > Hi Michael, > > > > > > Again, as usual, sorry for being late :/ > > > > > > On Wed, Feb 22, 2017 at 06:27:11AM +0200, Michael S. Tsirkin

With Debug mode, it shows the assert error: Assertion failed: (I != BlockLiveness.end() && "Predecessor not found"), function calculateLocalLiveness, file lib/CodeGen/StackColoring.cpp, line 782. 1. <eof> parser at end of file 2. Code generation 3. Running pass 'Function Pass Manager' on module 'busybox/archival/libarchive/decompress_bunzip2.c'. 4. Running

On Oct 14, 2008, at 4:47 AMPDT, Nuno Lopes wrote: >>> Today I found a nice bug in the JIT global variable emitter. >>> The problem may lead to an assert() failure when doing the >>> following: >>> 1) compile some function >>> 2) emit a global variable >>> 3) compile another function. an assert() may trigger in the JIT >>> memory

Hello, this set of patches adds SystemZ support to base LLVM. This is split up into three patches just to simplify review; they should be committed as a single change if approved. The first patch adds SystemZ support to the configure logic and support for the systemz Triple. This ought to be straightfoward. The second patch adds changes to LLVM common code required to support the SystemZ ELF

>> Ok, thanks for the explanation. So my first patch doesn't work. >> Also, to be >> clear, this bug has nothing to do with overflowing the JIT memory >> buffer. >> I made another one that takes keeps the allocation of global >> variables in >> the JIT buffer, but it creates a new mem block if it doesn't exist >> (i.e. >> when dumping a

Dear R-Help, My problem/bug came to light,when fitting a linear model using stepwise selection. I'd started with the straightfoward command step(lm(y~., dataset)) This worked fine, but because this starts with all the possible explanatory variables, it results in a model with too many explanatory variables. Hence I wanted to start with just a constant and do forward selection, to get a

Hello all, I set 'UDUNITS_PATH' and 'NETCDF_PATH' successfully to my custom places and then % R CMD INSTALL RNetCDF_1.1-3.tar.gz and got this: ... checking for executable suffix... checking for object suffix... o checking whether we are using the GNU C compiler... yes checking whether gcc accepts -g... yes checking for main in -lnetcdf... yes checking for main in -ludunits...

On Mon, 2008-11-03 at 23:59 -0800, Chris Lattner wrote: > On Nov 3, 2008, at 3:55 PM, heisenbug wrote: > > What about "inventing" pseudo-constants (which point to the right > > thing) and build the piece of IR with them. When done, grab mutex and > > RAUW it in. Alternatively, submit to a privileged thread that performs > > the RAUW. > > The trick is to

Dear All, I am trying to generate some Pareto random variates using the inverse method. This is really straightfoward and my R function looks as below : pareto <- function(c, a, cnt=1000) { u <- runif(cnt) x <- (c / ((u ^ (1 / a)))) mean.theo <- ((c * a) / (a - 1)) mean.gen <- mean(x) cat('Pareto mean : theoritical', mean.theo, 'generated', mean.gen,

Hi everyone, I wonder if I can get your help using a custom function in apply. Imagine the following dataframe called "data": LowLim HighLim A1 A2 A3 A4 4 6 3 4 5 6 4 6 4 5 5 6 2 3 1 4 2 3 2 3 NA NA NA NA We have created a custom function (see below) that takes the values in a given row between columns A1 to A4 to see if they are outside the limits in the same

> On Feb 4, 2018, at 9:15 AM, Yatsina, Marina via llvm-dev <llvm-dev at lists.llvm.org> wrote: > > Hi, > > What is the best way to model a scheduler for a VLIW in-order architecture? > I’ve looked at the Hexagon and R600 architectures and they are using itineraries. I wanted to understand the benefit in using itineraries over the per operand scheduling. > > I

Hello! I am trying to write a function with vector and data.frame parameters that uses the sum() function and values from the rows of the data.frame. I need to pass this function as a parameter to optim(). My starting point is: observs <- data.frame(y, x1, x2, x3) Fn <- function(par, observs) { sum( (y - (par[1] * (x1 + 1) * x2^(-par[2]) * x3^par[3])^2 ) }

On Tue, Feb 28, 2017 at 12:29:43PM +0800, Yuanhan Liu wrote: > Hi Michael, > > Again, as usual, sorry for being late :/ > > On Wed, Feb 22, 2017 at 06:27:11AM +0200, Michael S. Tsirkin wrote: > > Stage 2: prototype guest/host drivers > > > > At this stage we need real guest and host drivers > > to be able to test real life performance. > > I suggest

On Tue, Feb 28, 2017 at 12:29:43PM +0800, Yuanhan Liu wrote: > Hi Michael, > > Again, as usual, sorry for being late :/ > > On Wed, Feb 22, 2017 at 06:27:11AM +0200, Michael S. Tsirkin wrote: > > Stage 2: prototype guest/host drivers > > > > At this stage we need real guest and host drivers > > to be able to test real life performance. > > I suggest

For block effects with small variance, lmer will sometimes estimate the variance as being very close to zero and issue a warning. I don't have a problem with this -- I've explored things a bit with some simulations (see below) and conclude that this is probably inevitable when trying to incorporate random effects with not very much data (the means and medians of estimates are plausibly

>> Today I found a nice bug in the JIT global variable emitter. >> The problem may lead to an assert() failure when doing the following: >> 1) compile some function >> 2) emit a global variable >> 3) compile another function. an assert() may trigger in the JIT memory >> manager >> >> This happens because the JIT global variable emitter is using the

Dear R People, I?m trying to link R and TK. I?m using R 2.11.1 with Tinn-R 1.17.2.4. For simple examples like the following one it?s working (see the initiation of the variables, the handler and the link to the function which multiply Zahl, Exponent and Factor) : require(tcltk) Ergebnis<-tclVar(c(0,0,0,0,0,0)) Zahl<-tclVar(c(0,0,1,1,1,0)) Exponent<-tclVar(c(1,1,1,1,1,1))