similar to: questions regarding spline functions

Example: define i8 @narrow_add(i8 %x, i8 %y) { %x32 = zext i8 %x to i32 %y32 = zext i8 %y to i32 %add = add nsw i32 %x32, %y32 %tr = trunc i32 %add to i8 ret i8 %tr } With no data-layout or with an x86 target where 8-bit integer is in the data-layout, we reduce to: $ ./opt -instcombine narrowadd.ll -S define i8 @narrow_add(i8 %x, i8 %y) { %add = add i8 %x, %y ret i8 %add } But on

Hi, I'm Luca from Savona, Italy. I'm using Compiz and I'm writing an application with Xlib to draw two windows, let's say window_A and window_B. I would like to keep fixed the relative position between two established corners of them that they have when mapped. So that if I move or resize one of the window, the other if necessary automatically moves to observe the condition.

Thanks for the perf testing. I assume that DAG legalization is equipped to handle these cases fairly well, or someone would've complained by now... FWIW (and at least some of this can be blamed on me), instcombine already does the narrowing transforms without checking shouldChangeType() for binops like and/or/xor/udiv. The justification was that narrower ops are always better for

Hello Thanks for looking into this. I can't be very confident what the knock on result of a change like that would be, especially on architectures that are not Arm. What I can do though, is run some benchmarks and look at that results. Using this patch: --- a/lib/Transforms/InstCombine/InstructionCombining.cpp +++ b/lib/Transforms/InstCombine/InstructionCombining.cpp @@ -150,6 +150,9 @@

Buenas Tengo un Data table de la siguiente manera: datos<-data.table(grupo=rep(c("a","b"),5),x=c(1:10),y=rnorm(10,2,1)) Lo que quiero es añadir una fila por cada grupo y en esa nueva fila, al valor de la x ponerle el valor anterior de la y Lo que hago es añadir una nueva fila por grupo, con: datos[,.SD[1:(.N+1)],by=grupo] Y para añadir el valor anterior uso la función

Hi, I wonder why my attempt to extend an existing loess fit to a new data set is producing error. I was trying the following: dat = read.csv(choose.files()) x = dat[,2]; y = dat[,1] x.sort = sort(x) y.loess = loess(y~x, span=0.75) # For testing the above fit with a new dataset: test = read.csv(choose.files()) # test data new_x = test [,1]; new_y = test[,2] new_x.sort = sort(new_x) predicted

Hi Luca, In recent versions of compiz (0.9.10) if you have lazy positioning on (org.compiz.move 'lazy-positioning') other clients won't get a configure notification until the end of the move. This is a performance optimization to avoid a slow path on the nvidia drivers with vsync. If you want such notifications you need to turn this option off. Either that or implement this as a

Hi everyone, this should be pretty basic but I need asking for help as I got stuck. I am running simple linear regression models on R with k regressors where k > 1. In order to automate my code I packed all the regressors in a matrix X so that lm(y~X) will always produce the results I want regardless of the variables in X. I am new to R but I found this advice somewhere so I guess it is

I generally run 'make; make check' (with more settings) when building the Debian package. Running 3.2.4 rc from last night, I see a lot of package loading issues during 'make check'. Here is splines as one examples: checking package 'splines' * using log directory '/build/r-base-3.2.3.20160303/tests/splines.Rcheck' * using R version 3.2.4 RC (2016-03-02 r70270) *

Hello all, I have searched and have not yet identified a solution so now I am sending this message. In short, I need to split my data into training, validation, and testing subsets that keep all observations from the same sites together ? preferably as part of a cross validation procedure. Now for the longer version. And I must confess that although my R skills are improving, they are not so

Dear R-helpers, can I use a POSIXct date as the x variable in interpSpline? The help page says x and y need to be numeric... is there a workaround? example: library(splines) testdfr <- data.frame(Date=seq(as.POSIXct("2008-08-01"),as.POSIXct("2008-09-01"), length=10)) testdfr$yvar <- rnorm(10) sp <- interpSpline(yvar ~ Date, testdfr) preddfr <-

I figured out my previous problem with DIBuilder. However, now I can't seem to get the compiler to emit location information for local variables. Here's how my IR looks: --- define i32 @"\01_main"() { init: %exception1 = alloca i8* %0 = alloca i32 %"bar:Int32" = alloca i32 %1 = alloca i32 %2 = alloca i32* br label %code code:

I found the problem. The llvm.dbg.declare call must have a !dbg tag, otherwise the location info is not generated. Changing the invocation in my original example to "call void @llvm.dbg.declare(metadata !{i32* %"bar:Int32"}, metadata !13), !dbg !16" causes MC to generate the local location as expected. -Joe On Thu, Dec 29, 2011 at 12:41 PM, Joe Groff <arcata at

Hi, my question is not exactly about R... What I am looking for are hints and directions on suitable methods (available in R or elsewhere) to solve a grouping (or pattern recognition) problem of environmental features in an environmental gradient as described below. Given environmental sampling data set (Depth, Presence of sand, Presence of boulders, Presence of clay). 1 1 1 0 1 1 0 0 1 1

Dear R users, has anybody made an attempt to create the soil texture triangle graph in R? For an example see here: http://www.teachingkate.org/images/soiltria.gif I would like to get the lines in black and texture labels in gray to allow for plotting my texture results on top. Any examples or suggestions are very welcome! Thanks in advance, Sander. --

Hi all, I'm trying to make multiple lattice contour plots which have the same color key, to allow good comparisons. However, I run into some problems when fitting the plots to the color key. Basically my strategy to tackle this problem was: 1) define a color key for all plots; 2) calculate the variable range for each plot; 3) calculate the range of colors from the color key that correspond

Full_Name: Anantha Prasad Version: 1.1.1 OS: Linux Submission from: (NULL) (199.131.134.30) I am trying to convert some S-PLUS code to R (a tcl/tk application that uses R)... here is the error I got in R (but not in S-PLUS)...so I am wondering if it is a bug. Eg., the foll. extract from a function runs fine in S-PLUS but gives the error: Error in x[[j]] : subscript out of bounds in R code

I'm sure I'm doing something completely boneheaded here, but I've used this idiom (constructing an interpolation spline and using prediction from a backSpline to find an approximation profile confidence interval) many times before and haven't hit this particular problem: r2 <- c(1.04409027570601, 1.09953936543359, 1.15498845516117, 1.21043754488875,

I have a set of data for US t-bill returns and US stock returns frm 1980-2012. I am trying to bootstrap the data and obtain the minimum variance portfolio and repeat this portfolio 1000 times. However I am unable to get the correct code function for the minimum variance portfolio. When I tried to enter Opt(OriData+1, 1, 5, 0), I get "error:subscript out of bounds" Please help!

hello, I am very new to R. My current data set is a mix of values and categories. It is a geoscience data set, with values per rock sample. Case in point, each sample belongs to a lithology class, and each sample has several physical property measurements (density, porosity...). I want to be able to plot these physical properties for all samples in each lithology class. this is how i'm doing