search for: resful

Hi, I installed R 3.0.0 on a Windows 2008 Server. When I submitted the following code in R64, library(tools) testInstalledBasic(scope="devel") I get the following message in the R Console: > library(tools) > testInstalledBasic(scope="devel") running tests of consistency of as/is.* creating ?isas-tests.R? running code in ?isas-tests.R? comparing ?isas-tests.Rout? to

There are two problems in dlm_run_purgelist 1. If a lockres is found to be in use, dlm_run_purgelist keeps trying to purge the same lockres instead of trying the next lockres. 2. When a lockres is found unused, dlm_run_purgelist releases lockres spinlock before setting DLM_LOCK_RES_DROPPING_REF and calls dlm_purge_lockres. spinlock is reacquired but in this window lockres can get reused. This

Folding for conversions: F32->(U{16/32}, S{16/32}) and (U{16/32}, {S16/32})->F32 Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 109 +++++++++++++++++++++ 1 file changed, 109 insertions(+) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_peephole.cpp

I've been seeing this kind of crap now for some time, and only in the past couple of weeks did I realize I was using the Plus Kernel instead of the normal stock kernel. Could this have something to do with it? Messages also appear mentioning something about a PowerNow K-8, which I thought was something you'd see from an AMD processor, not a quad core intel 64 bit box. Any insight

Folding for conversions: F32/64->(U16/32, S16/32) and (U16/32, S16/32)->F32 No piglit regressions observed on nv50 and nvc0! Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- V2: fix usage of wrong variable V3: enable F64 support V4: - disable F64 support again - handle saturate flag: clamp to min/max if needed

Hello, Our static analysis tool finds some possible data races in the OCFS2 file system in Linux 6.4.0-rc6. In most calling contexts, the variables such as res->lockname.name and res->owner are accessed with holding the lock res->spinlock. Here is an example: lockres_seq_start() --> Line 539 in dlmdebug.c spin_lock(&res->spinlock); --> Line 574 in dlmdebug.c (Lock

I've been getting LOTS of messages like the below in the daily log, and from all indications, it appears to all be related to the cpu; the machine is just over a year old, and was the old vortex.wa4phy;net server from the downtown co-lo site. Aside from huge log files, and lots of other fluff, numerous problems of other nature have started cropping up. Anyone have any suggestions as to

Folding for conversions: F32->(U{16/32}, S{16/32}) and (U{16/32}, {S16/32})->F32 Signed-off-by: Tobias Klausmann <tobias.johannes.klausmann at mni.thm.de> --- V2: beat me, whip me, split out F64 .../drivers/nouveau/codegen/nv50_ir_peephole.cpp | 81 ++++++++++++++++++++++ 1 file changed, 81 insertions(+) diff --git a/src/gallium/drivers/nouveau/codegen/nv50_ir_peephole.cpp

Hello, This is a first patch which add macros for ARMv5E. Also, I copy headers from other files and add company name, tell me if I'm wrong. Also, if you have any question or comment about it, feel free to contact me. Best regards, -- Aur?lien Zanelli Parrot SA 174, quai de Jemmapes 75010 Paris France -------------- next part -------------- diff --git a/celt/fixed_arm5e.h

Dears Sirs During my computational work I encountered unexpected behavior when calling "ar" function, namely # time series x<-ts(c(-0.2052083,-0.3764986,-0.3762448,0.3740089,0.2737568,2.8235722,- 1.7783313,0.2728676,-0.3273164),start=c(1978,3),frequency=4,end=c(1980,3)) # ar function res.ar<-ar(x,aic=TRUE,demean=F) # call "ar" again and ............

Hi, On 6/13/23 4:23 PM, Tuo Li wrote: > Hello, > > Our static analysis tool finds some possible data races in the OCFS2 file > system in Linux 6.4.0-rc6. > > In most calling contexts, the variables such as res->lockname.name and > res->owner are accessed with holding the lock res->spinlock. Here is an > example: > > lockres_seq_start() --> Line 539

Dear R experts, I have been encountering problems with the "optim" routine using "for" loops. I am determining the optimal parameters of several nested models by minimizing the negative Log-Likelihood (NLL) of a dataset. The aim is to find the model which best describes the data. To this end, I am simulating artificial data sets based on the model with the least number

Hello steve. Here is a patch I wrote for app_voicemail.c which does exactly as you describe. When the outgoing message is playing, if the listener hits the "*" key, they're prompted for a mailbox and password, whereupon they can check their voicemail as if they were using the internal phone. I found no other way of doing this. If you patch your app_voicemail.c, I have V1.44 from

Hi R users I try to use the lme but I can?t!!!!! My script is (some words in french, sorry!!): rm(list=ls(all=TRUE)) #Efface tous les objets en m?moire pour ?viter des erreurs library(MASS) #Chargement des Librairies library(car) library(Hmisc) library(tkWidgets) library(svDialogs) library(multtest) library(nlme) #Rep <- "C:/Documents and Settings/U3M/Bureau/steph/Scripts

Hi all Say I have a function: myname=function(dat,x=5,y=6){ res<<-x+y-dat } for various input such as myname(dat1) myname(dat2) myname(dat3) myname(dat4) myname(dat5) how should I modify the 'res' line, to have new informative variable name correspondingly, such as dat1.res dat2.res dat3.res dat4.res dat5.res stored in the workspace. This is only an example of a complex

I have problems converting my dataset from long to wide format. Previous attempts using reshape package and aggregate function were unsuccessful as they took too long. Apparently, my simplified solution also lasted as long. My complete codes is given below. When sample.size = 10000, the execution takes about 20 seconds. But sample.size = 100000 seems to take eternity. My actual sample.size is

Hi all! I'm developing a shiny app and I have problems when I wanna write a .txt file. First of all, I change the directory in order to work in a temporal one: wd <- tempdir() setwd( wd ) res.path <- paste0( wd, "/OUT/" ) dir.create( res.path ) Just before calling the function that fails, I remove, if exist, the old files of the directory: file.remove( paste0(

I have a data frame of around 4500 rows which contain file name prefixes and other interesting variables. each prefix corresponds to multiple files and a I only have 4300 complete sets of files. If any one of the files is missing for a given prefix, then the function I use fails. The effect is emulated by the function "f" and data "dummy.data": f <- function(x) if(runif(1)

[PATCH 1/4] PCI: export pci_read_base and add pci_update_base Export pci_read_base; add pci_update_base to for PCI BAR update. Signed-off-by: Yu Zhao <yu.zhao at intel.com> Signed-off-by: Eddie Dong <eddie.dong at intel.com> --- drivers/pci/probe.c | 25 ++++++++-------- drivers/pci/setup-res.c | 74 +++++++++++++++++++++++++++-------------------- include/linux/pci.h |

[PATCH 1/4] PCI: export pci_read_base and add pci_update_base Export pci_read_base; add pci_update_base to for PCI BAR update. Signed-off-by: Yu Zhao <yu.zhao at intel.com> Signed-off-by: Eddie Dong <eddie.dong at intel.com> --- drivers/pci/probe.c | 25 ++++++++-------- drivers/pci/setup-res.c | 74 +++++++++++++++++++++++++++-------------------- include/linux/pci.h |