search for: var0

...es of various global constants. I tried to use a `switch` instruction but I encountered several problems. The "ideal switch" I'd like to have would look something like this (with way more cases): ; ModuleID = 'module' source_filename = "module" @var0 = global i32 0 @var1 = global i32 0 define i32 @func(i32*) { entry: switch i32* %0, label %unreachable [ i32* @var0, label %var0 i32* @var1, label %var1 ] var0: ; preds = %entry br label %post...

...n but I >> encountered several problems. >> >> The "ideal switch" I'd like to have would look something like this (with >> way more cases): >> >> ; ModuleID = 'module' >> source_filename = "module" >> >> @var0 = global i32 0 >> @var1 = global i32 0 >> >> define i32 @func(i32*) { >> entry: >> switch i32* %0, label %unreachable [ >> i32* @var0, label %var0 >> i32* @var1, label %var1 >> ] >> >> var0:...

...;called", or its the same as putting "%z = alloca" in the beggining? or... if alloca is in a loop, the stack grows every time it iterates?? 2) does the LLVM optimizes this: ; this code (arg -> var) is very similar to what gcc generates define void @foo(i32 %arg0) { entry: %var0 = alloca i32 store i32 %arg0, i32* var0 ... %x = load i32* %var0 .... ; never more stores to %var0 or pass it to any function } to something like: define void @foo(i32 arg0) { entry: ; no alloca .... %x = %arg0 .... } does it??? I'm asking because I can ch...

...#39;s instead of loops, and they will grow the size of the stack frame each time they are executed dynamically. > > > > 2) does the LLVM optimizes this: > > ; this code (arg -> var) is very similar to what gcc generates > define void @foo(i32 %arg0) { > entry: > %var0 = alloca i32 > store i32 %arg0, i32* var0 > ... > %x = load i32* %var0 > .... > ; never more stores to %var0 or pass it to any function > } > > to something like: > > define void @foo(i32 arg0) { > entry: > ; no alloca > .... >...

On Mar 14, 2011, at 5:56 PM, John Criswell wrote: > On 3/14/11 7:52 PM, Judison wrote: >> >> 2) does the LLVM optimizes this: >> >> ; this code (arg -> var) is very similar to what gcc generates >> define void @foo(i32 %arg0) { >> entry: >> %var0 = alloca i32 >> store i32 %arg0, i32* var0 >> ... >> %x = load i32* %var0 >> .... >> ; never more stores to %var0 or pass it to any function >> } >> >> to something like: >> >> define void @foo(i32 arg0) { >> en...

Hi R-users, I'm trying to retrieve data from MS SQL database with RODBC's sqlQuery-function: temp <- sqlQuery(channel,"select *, (select text from table1 where koodi='paa' and koodi2=paa) as tempor from table2") str(temp) … $ var0 : num NA NA 1.6 NA NA 1.4 NA 1 NA NA ... $ var1 : Factor w/ 45 levels " ","01","01;07",..: 1 1 1 4 38 1 38 7 1 1 ... $ var2 : Factor w/ 95 levels " ","01","01;02;09",..: 1 1 1 9 72 1 78 13 1 1 ... $ var3 : Fact...

...Criswell wrote: > > On 3/14/11 7:52 PM, Judison wrote: > >> > >> 2) does the LLVM optimizes this: > >> > >> ; this code (arg -> var) is very similar to what gcc generates > >> define void @foo(i32 %arg0) { > >> entry: > >> %var0 = alloca i32 > >> store i32 %arg0, i32* var0 > >> ... > >> %x = load i32* %var0 > >> .... > >> ; never more stores to %var0 or pass it to any function > >> } > >> > >> to something like: > >> > &...

Hi there, i can''t use array in puppet. Here is my codesnipplet: $callapidata = [ ''wert1'',''wert2''] notice $callapidata[1] A puppetrun results in: Could not retrieve catalog from remote server: Error 400 on SERVER: can''t convert String into Integer at /etc/puppet/myenv/modules/ uc4client/manifests/init.pp:41 on node testnode Thanks for your

...far as I am aware, the model.matrix function does not return perfect metadata on what each column of the model matrix "means". The columns are named (e.g. age:genderM), but encoding the metadata as strings can result in ambiguity. For example, the dummy variables created when the factors var0 = 0 and var = 00 both are named var00. Additionally, if a level of a factor variable contains a colon, this could be confused for an interaction. While a human can generally work out the meaning of each column somewhat manually, I am interested in achieving this programmatically. My solution is t...

Hello, I have various datasets of zoo time series (merged into single frames via the "merge" command) such as date var0 var1 var2 var3 08/07/1996 652.54 0.223922 0.515819 0.502638 08/08/1996 662.59 0.997841 0.000383 0.999806 06/09/1996 655.68 0.901685 0.569763 0.866333 08/10/1996 700.64 0.268855 0.244701 0.329285 08/11/1996 730.82 0.438407 0.501427 0.461374 06/12/1996 739.6 0.432233 0.56217...

...out <- seq(0, 50, by = 1)  out <- model(pars, tout)  return(modCost(obs = observed, model = out))  } prior <- function(p)   return( sum(((p-c(0.06,18))/c(0.04,6))^2 )) final <- modMCMC(p = c(k=0.06,v=18), f = obj, prior=prior,lower=c(0.0001,0.1),jump = NULL, niter = 1000,updatecov=100, wvar0 = 1,var0=NULL,burninlength = 50) summary(final) plot(final) the values for "observed" were generated with k=0.05, v=20, which are the retunrs I expect from the modMCMC run. Please comment on:   1. is there any way to get modMCMC to run multiple times faster with this data? 2. my accepted...

Time Series functions in R ========================== I think a good basic S-like functionality for library(ts) in base R would include ts class, tsp, is.ts, as.ts plot methods start end window frequency cycle deltat lag diff aggregate filter spectrum, spec.pgram, spec.taper, cumulative periodogram, spec.ar? ar -- at least univariate by Yule-Walker arima -- sim, filter, mle, diag, forecast

Dear R-colleagues, I am quite a newbie to R fighting my stupidity to solve a probably quite simple problem of generating artificial data with defined features. I am conducting a study of inter-observer-agreement in child-bronchoscopy. One of the most important measures is Kappa according to Fleiss, which is very comfortable available in R through the irr-package. Unfortunately medical doctors