search for: rne

..._spamtest_status_type = score sieve_spamtest_status_header = X-Spam-Status: [^,]*, score=(-?[[:digit:]]+\.[[:digit:]]).* sieve_spamtest_max_header = X-Spam-Status: [^,]*, score=[^[:space:]]+ required=(-?[[:digit:]]+\.[[:digit:]]).* I tested those regular expressions with sed -r, e.g. % sed -rne "s@^X-Spam-Status: [^,]*, score=-?[[:digit:]]+\.[[:digit:]] required=(-?[[:digit:]]+\.[[:digit:]]).*@\1 at p" mailfile 5.0 and they work. Unfortunately, in sieve scripts, the spamtest value is always 0, which is indicative of the spamtest "not having run", which in this case...

...In order to be able to just "ssh machine", I currently have the following ProxyCommand in place: ProxyCommand bash -c "TARGETS=$(bash -c 'TRIES=machine.example.{org,com}; eval fping -aAC1 -t100 $TRIES; eval fping6 -aAC1 -t100 $TRIES; echo %h : 9999' 2>&1 | sed -rne 's, : ([[:digit:]]), @\1,p' | sort -t@ -k2n | sed -ne 's, .*,,p' | tr '\n' ','); nc -vq0 \${TARGETS%%%%,*} %p" which essentially pings all DNS names and uses the respond times to pick the best target. I wish OpenSSH's client just let me do this implicitl...

Hi, I use rsync with such options: OPTIONS="-a -u -z -v -S --delete-during --ignore-errors \ -b --backup-dir=${PATH_BACKUP}/${DATE_YESTERDAY} \ --exclude-from=$IGNORE" rsync $OPTIONS ${PATH_SRC} \ ${PATH_BACKUP}/current Everything works as it should be, deleted files are transfered everyday to a new catalog, determinated by a variable ${DATE_YESTERDAY}. But

...y using a > different dynamic rounding mode? If so, explicitly defining what happens > when dynamic and "assumed" rounding mode don't match (see above) also > addresses this problem. Then the operations can be described like this: > > > If a rounding mode is assumed [RNE for non-constrained intrinsic or > roundingMode argument != fpround.dynamic] and the current dynamic rounding > mode differs from the assumed rounding mode, [pick one: behavior is > undefined / result is poison / ...]. Otherwise, X operation is performed > with the current dynamic round...

...<Ulrich.Weigand at de.ibm.com<mailto:Ulrich.Weigand at de.ibm.com>> wrote: Serge Pavlov <sepavloff at gmail.com<mailto:sepavloff at gmail.com>> wrote on 02.03.2020 14:38:48: > This approach has issues when applied to the intrinsics `rint` and > `nearbyint`. Value returned by either of these intrinsics depends on > current rounding mode. If they are considered as operation in > default environment, they would round only to nearest. It is by far > not the meaning of the standard C functions that these intrinsics represent. I'm not sure why this is an is...

...rounding mode? If so, explicitly defining what happens >>> when dynamic and "assumed" rounding mode don't match (see above) also >>> addresses this problem. Then the operations can be described like this: >>> >>> > If a rounding mode is assumed [RNE for non-constrained intrinsic or >>> roundingMode argument != fpround.dynamic] and the current dynamic rounding >>> mode differs from the assumed rounding mode, [pick one: behavior is >>> undefined / result is poison / ...]. Otherwise, X operation is performed >>&gt...

Hello list. I'm trying to rebuild the 2.6.9.67.0.20.EL kernel, but it fails even without modifications. How did I try it? Created a (non-root) build environment (not a mock ) Installed the kernel.scr.rpm and did a rpmbuild -ba --target=`uname -m` kernel-2.6.spec 2> prep-err.log | tee prep-out.log The build failed at the end: Processing files: kernel-xe...

...release} +# full source URL will be added with the next oVirt release. This is a pre-release +# code drop to make sure we get the package approved by f12 feature freeze. Source0: %{name}-%{version}.tar.gz #Entire source code is GPL except for vendor/plugins/will_paginate and #vendor/plugins/betternestedset, which are MIT, and -#public/javascripts/jquery.*, which is both MIT and GPL -License: GPLv2+ and MIT +#public/javascripts/jquery.*, which is both MIT and GPL, and +#src/flexchart/com/adobe/serialization/json/* which are BSD +License: GPLv2+ and MIT and BSD Group: Applications/System Requi...

...er Graves > > ______________________________________________ > R-devel at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-devel > -- "Whereas true religion and good morals are the only solid foundations of public liberty and happiness . . . it is hereby earnestly recommended to the several States to take the most effectual measures for the encouragement thereof." Continental Congress, 1778 [[alternative HTML version deleted]]

Biostatistician/Statistical Programmer/Data Analyst The Department of Biostatistics and Computational Biology, University of Rochester Medical Center is seeking a Biostatistician/Statistical Programmer/Data Analyst to assist with several center-wide immunology and infectious disease research studies. The biostatistician will work with senior statisticians and other senior biomedical

I have a data.table with dimensions 100 by 10^7. When I do trainIndex <- caret::createDataPartition( df$status, p = .9, list = FALSE, times = 1 ) outerTrain <- df[trainIndex] outerTest <- df[-trainIndex] Subsetting the rows of df takes over 20 minutes. What is the best way to efficiently subset this? Thanks! [[alternative

...gt;1 ) max(0L, digits - as.numeric(log10(mx))) else digits) } Yielding: > y <- 2.220446e-16 > zapsmall(y) [1] 0 Another edge case would be when all of the non-na values are the same: > y <- 2.220446e-16 > zapsmall(c(y,y)) [1] 2.220446e-16 2.220446e-16 Thoughts? Gregory R. Warnes, Ph.D. greg at warnes.net Eternity is a long time, take a friend! [[alternative HTML version deleted]]

...0 0 0 0 0 > > The same problem can also appear when printing the results of > summary.glm() with show.residuals = TRUE if there's little dispersion > in the residuals. > > Steve > >> On Sat, 16 Dec 2023 at 17:34, Gregory Warnes <greg at warnes.net> wrote: >> >> I was quite suprised to discover that applying `zapsmall` to a scalar value has no apparent effect. For example: >> >>> y <- 2.220446e-16 >>> zapsmall(y,) >> [1] 2.2204e-16 >> >> I was expecting za...

Hi Steven Which optimisation algorithms in maxLik work better under R-3.0.3 than under the current version of R? /Arne On Thu, 8 Oct 2020 at 21:05, Steven Yen <styen at ntu.edu.tw> wrote: > > Hmm. You raised an interesting point. Actually I am not having problems with aod per se?-it is just a supporting package I need while using old R. The essential package I need, maxLik, simply works better under R-...

I have a very large binary matrix, stored as a big.matrix to conserve memory (it is over 2 gb otherwise - 5 million columns and 100 rows). r <- 100 c <- 10000 m4 <- matrix(sample(0:1,r*c, replace=TRUE),r,c) m4 <- cbind(m4, 1) m4 <- as.big.matrix(m4) I need to remove every column which has only one unique value (in this case, only 0s or only 1s). Because of the number of columns, I