search for: temped

https://bugs.freedesktop.org/show_bug.cgi?id=70130 Priority: medium Bug ID: 70130 Assignee: nouveau at lists.freedesktop.org Summary: unable to compile fragment shader program Severity: normal Classification: Unclassified OS: Linux (All) Reporter: infyquest at gmail.com Hardware: x86 (IA32)

I have installed an application and there is no error during installation. On run time it gives message: > Could not install 160 fonts. First Uninstalled font is 1. Please reinstall the fonts > from the setup disks. After ignoring above message I goto open a window made file and it says that encountered a serious error. needs to close down. Kindly advise. Thankyou.

temp.ttt <- "ttt <- 1\nttt" conn.ttt <- textConnection(temp.ttt) source(conn.ttt, echo=TRUE) ## name of variable is echoed close(conn.ttt) cat(file="c:/temp/temp.R", temp.ttt) ## name of variable not echoed source("c:/temp/temp.R", echo=TRUE) temp.abc <- "abc <- 1\nabc" conn.abc <- textConnection(temp.abc) source(conn.abc, echo=TRUE)

Commit-ID: 89742f0fc6f93a4a748ab783856a9d441511b808 Gitweb: http://git.kernel.org/?p=libs/klibc/klibc.git;a=commit;h=89742f0fc6f93a4a748ab783856a9d441511b808 Author: Ben Hutchings <ben at decadent.org.uk> AuthorDate: Sat, 28 Mar 2020 21:04:54 +0000 Committer: Ben Hutchings <ben at decadent.org.uk> CommitDate: Sat, 28 Mar 2020 21:42:12 +0000 [klibc] Implement stpcpy() and

Hi, On 22-02-16 13:41, Samuel Pitoiset wrote: > Hi there, > > On 02/22/2016 12:26 PM, Hans de Goede wrote: <snip> >> So back to the problem of getting OpenCL(ish) code to work again with >> the recent mesa changes. For starters I would like to get: >> >> src/gallium/tests/trivial/compute.c and then the test with mask 8, >> test_input_global() to work

Don't use extra TEMPs unnecessarily in some cases. --- src/gallium/drivers/nv50/nv50_program.c | 120 +++++++++++++++--------------- 1 files changed, 60 insertions(+), 60 deletions(-) diff --git a/src/gallium/drivers/nv50/nv50_program.c b/src/gallium/drivers/nv50/nv50_program.c index d7ab28a..5594560 100644 --- a/src/gallium/drivers/nv50/nv50_program.c +++

Dear All, I have a following for-loop code which is basically intended to read in many excel files (each file has many columns and rows) in a directory and extract the some rows and columns out of each file and then combine them together into a dataframe. I use for loop which can do the work but quite slow. How to make it faster using lapply function ? Thanks in advance! temp.df<-c() #

r-gurus, I couldn't find an answer to this and after an hour or so of trying all types or ways to do this, I've given up for now. I'm having trouble getting the results from xtabs to generate "unsorted" factors. I've generated a sample data.frame I want to create a table from, using xtabs, and the results are presented below, > temp treatment itpa qmd

Samba has worked well for several years - upgraded to 2.2 with Suse 7.2 6 months ago all well and happy. An NT client - logged on as Administrator - that was working with Samba for over a year had its share changed from one user to another - using clear text passwords, the machine was also tidied up. It connects to Samba with the new user's log on and password and NT explorer sees the shares

Hi, On 22-02-16 14:04, Samuel Pitoiset wrote: > > On 02/22/2016 01:46 PM, Hans de Goede wrote: >> Hi, >> >> On 22-02-16 13:41, Samuel Pitoiset wrote: >>> Hi there, >>> >>> On 02/22/2016 12:26 PM, Hans de Goede wrote: >> >> <snip> >> >>>> So back to the problem of getting OpenCL(ish) code to work again with

Hello. I am trying to store the output from a loop into a matrix. Failed so far, thanks for the help. What I want to store into a new matrix: (just run the code once): temps<-rnorm(400,14,0.05) ttind<-NULL for(ti in 1:(length(temps)-9)) { if(temps[ti]-temps[ti+9] >= 0.1 && max(temps[ti]-temps[ti+1:9]) > -0.05) ttind<-c(ttind,ti) } for(ti in 1:length(ttind)) {

No one replied to me ..... But, in case anyone like me searches archives in vain for this problem, the answer is turn off oplocks on the share that the NT client wishes to save Office files to. Don't really understand why this resolves the snag and I guess the performance will take a theoretical hit. But with 20 client machines on a 100Meg LAN this is not really a problem. Phil Daintree Dux

I have the following set of indices, call it idx, that correspond to the indices of a vector say temp. [1] 31 36 41 61 66 71 91 96 101 121 126 131 151 156 161 181 186 191 211 216 221 241 246 251 271 276 281 301 306 311 331 336 341 361 366 [36] 371 391 396 401 421 426 431 451 456 461 481 486 491 511 516 521 541 546 551 571 576 581

Dear list, I have a large dataset which is structured as follows: locality=c("USC00020958", "USC00020958", "USC00020958", "USC00020958", "USC00020958", "USC00021001","USC00021001", "USC00021001", "USC00021001", "USC00021001", "USC00021001") temp.a=c(-1.2, -1.2, -1.2, -1.2, -1.1, -2.2,

Hi Stephen, I am not sure that the "for loop" is the source of slowness. You seem to be doing a lot of unnecessary work each time through the loop. e.g. no need to check if it's the last file, just move that section outside of the loop. It will be executed when the loop finishes. As it is you are calling list.files() each time through the loop which could be slow. In any case

Eric's approach seems reasonable to me, and I agree that it's probably not the use of a "for" loop that makes the original version slow. As Eric mentioned, there are lots of unnecessary things happening in the loop. For example, list.files() was called twice inside the loop, which is unnecessary, and will definitely slow the loop down (though probably not by much). Call it

Hi I am fairly new to R and I would appreciate some help to hopefully a trivial problem. I created a function: summary.aggregate <- function(y, ...) { temp.mean <- aggregate(y, FUN=mean, ...) temp.sd <- aggregate(y, FUN=sd, ...) temp.length <- aggregate(y, FUN=length, ...) temp <- data.frame(cbind(mean=temp.mean$x,stdev=temp.sd$x,n=temp.length$x)) } this outputs e.g.:

Hi all; I'm trying to display a 2 panel plot for the Puromycin data from R with 2 different non-linear models fitted to each group. The problem is that as far as I know panel.number doesn't work in the latest version of R. Can anyone give a hint how to solve this? Here is the code that I used before and now doesn't work xyplot(rate ~conc| state,Puromycin,

Hi, I'm completely new to Wine (I'm running version 0.9.9 under Ubuntu 6.06). I have been able to install and run Windows apps and I can see that Wine really rocks! For speed, I'd rather run Wine than VMware, especially when it comes to running MATLAB under linux. I'm having difficulty with getting MATLAB (6.5.0.180913a (R13)) to run. There are several threads in the Wine

Hi, list, suppose i have such a data frame: trash <- data.frame(cbind(seq(1:5),c('a','a','b','a','b'),c('b','a','b','b','a'))) names(trash) <- c('age','typeI','typeII') and I want to change all 'a's to be 0 and 'b's to be 1. temp <- as.matrix(trash)