mirror of
https://git.savannah.gnu.org/git/parallel.git
synced 2024-11-22 05:57:54 +00:00
307 lines
10 KiB
Plaintext
307 lines
10 KiB
Plaintext
= Notes on how to release new version =
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== alpha/beta/production ==
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Check that documentation is updated (compare to web):
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git grep -E '(alpha|beta) testing' | cat
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git diff $(date --date="last month" +%Y%m22)
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Unmodified beta since last version => production
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Unmodified alpha since last version => beta
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Modified => alpha
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== Update NEWS ==
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With the same things that goes in the announce mail
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== Testsuite ==
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cd testsuite; make mem; make
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== Update version ==
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https://zenodo.org/deposit/new
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(*) Software
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(Reserve DOI)
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GNU Parallel 20xxxx22 ('Xxxx')
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Tange, Ole
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https://orcid.org/0000-0002-6345-1437
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Description
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GNU Parallel is a general parallelizer to run multiple serial command line programs in parallel without changing them.
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License:
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gpl v3
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[Save]
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DOINO=3956817
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TAG='PrivacyShield'
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# Update version
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. packager/releasescripts/updateversion
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=== Reconfig autoconf/automake, build tar.bz2 and test it ===
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make reconf &&
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make pack_unpack_and_test_build
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== Upload ==
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export YYYYMMDD=`yyyymmdd`
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export YYYYMMDD=${YYYYMMDD:0:6}22
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eval `gpg-agent --daemon`
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# Takes up to 8 minutes
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make upload
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# Only needed for alpha:
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export YYYYMMDD=`yyyymmdd`
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export YYYYMMDD=${YYYYMMDD:0:6}22
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eval `gpg-agent --daemon`
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# Takes up to 8 minutes
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make alphaupload
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== Update OpenSUSE build system ==
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export YYYYMMDD=`yyyymmdd`
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export YYYYMMDD=${YYYYMMDD:0:6}22
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export YYYYMMDD
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cd ~/privat/parallel/packager/obs
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find home:tange/parallel/* -type f |
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grep -Ev '(PKGBUILD|parallel.spec)' |
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parallel -j1 'osc rm {} || rm {}'
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# This should not create new files
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osc up home:tange/parallel/
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make
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# Reload build-status:
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https://build.opensuse.org/package/show/home:tange/parallel
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# Check that one .deb (Debian 5.0) and one .rpm (CentOS) end with 'succeeded'
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== Update website ==
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http://www.gnu.org/software/parallel/
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http://www.gnu.org/software/parallel/man.html
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http://www.gnu.org/software/parallel/sql.html
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http://www.gnu.org/software/parallel/sem.html
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http://www.gnu.org/software/parallel/env_parallel.html
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http://www.gnu.org/software/parallel/parcat.html
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http://www.gnu.org/software/parallel/parset.html
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http://www.gnu.org/software/parallel/parsort.html
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http://www.gnu.org/software/parallel/niceload.html
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cp src/*.pdf src/*.html ../parallel-web/parallel
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cp src/parallel.html ../parallel-web/parallel/man.html
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pushd ../parallel-web/parallel
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# Bug at Savannah makes this take 30 seconds
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(cd ..; cvs -z3 -d:ext:tange@cvs.savannah.gnu.org:/web/parallel co parallel)
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torsocks cvs up
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torsocks cvs ci -m "New release"
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pushd
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== Commit released version ==
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git diff
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# Recheck OBS https://build.opensuse.org/package/show/home:tange/parallel
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export YYYYMMDD=`yyyymmdd`
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export YYYYMMDD=${YYYYMMDD:0:6}22
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TAG=MyTag
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echo "Released as $YYYYMMDD ('$TAG')." | grep MyTag && (STOP;STOP;STOP)
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echo "$TAG" | grep ' ' && (STOP;STOP;STOP)
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echo "Released as $YYYYMMDD ('$TAG')."
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git commit -a -m "Released as $YYYYMMDD ('$TAG')"
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git tag -s -u 88888888 -m "Released as $YYYYMMDD ('$TAG')" $TAG
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git tag -s -u 88888888 -m "Released as $YYYYMMDD ('$TAG')" $YYYYMMDD
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torsocks git push
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torsocks git push origin $TAG
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torsocks git push origin $YYYYMMDD
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== Zenodo ==
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Add tar.bz2 [Start upload] and [Publish].
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== Update documentation ==
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Update version number + 1
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export YYYYMMDD=`yyyymmdd`
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export YYYYMMDD=${YYYYMMDD:0:6}23
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echo $YYYYMMDD
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perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/parallel
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perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/sql
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perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/env_parallel*
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perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/parsort
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perl -i -pe "/version/ and s/20\d\d\d\d\d\d/$YYYYMMDD/" src/niceload
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Unmodified beta since last version => production
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Unmodified alpha since last version => beta
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Modified => alpha
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== Check URLs ==
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make testurls
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== Update Savannah ==
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file:///home/tange/privat/parallel/doc/release_new_version
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Content from release mail:
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https://savannah.gnu.org/news/submit.php?group=parallel
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Test URLs.
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https://savannah.gnu.org/news/approve.php?group=parallel
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== Update Freshmeat ==
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// FreeCode is dying
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http://freshmeat.net/projects/parallel/releases/new
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== Update Diaspora Twitter ==
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https://joindiaspora.com/stream
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New release of #GNU Parallel pi.dk/0 New in this release pi.dk/2 See the intro videos pi.dk/1
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10 secs installation: wget -O - pi.dk/3|bash
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[x] Twitter
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Aspect: Public
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GNU Parallel - for people who live life in the parallel lane.
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== Send announce ==
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http://groups.google.com/group/comp.unix.shell/post
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http://groups.google.com/group/comp.unix.admin/post
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https://lists.gnu.org/mailman/admindb/bug-parallel
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https://lists.gnu.org/mailman/admindb/parallel
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file:///home/tange/privat/parallel/doc/release_new_version
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For codename look at https://www.onthisday.com/
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from:tange@gnu.org
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to:parallel@gnu.org, bug-parallel@gnu.org
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stable-bcc: Jesse Alama <jessealama@fastmail.fm>
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Subject: GNU Parallel 20201022 ('Samuel Paty') released <<[stable]>>
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GNU Parallel 20201022 ('Samuel Paty') <<[stable]>> has been released. It is available for download at: http://ftpmirror.gnu.org/parallel/
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<<No new functionality was introduced so this is a good candidate for a stable release.>>
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* --termseq now works for jobs running remotely.
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* Please help spreading GNU Parallel by making a testimonial video like Juan Sierra Pons: http://www.elsotanillo.net/wp-content/uploads/GnuParallel_JuanSierraPons.mp4
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It does not have to be as detailed as Juan's. It is perfectly fine if
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you just say your name, and what field you are using GNU Parallel for.
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Quote of the month:
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New in this release:
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* --termseq now works for jobs running remotely.
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* parsort: Performance optimized for 64-core machines.
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* Bug fixes and man page updates.
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News about GNU Parallel:
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* Juan Sierra Pons has made a testimonial: http://www.elsotanillo.net/wp-content/uploads/GnuParallel_JuanSierraPons.mp4
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* 「翻译」在生物信息学中使用 GNU-Parallel https://cloud.tencent.com/developer/article/1705499
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Get the book: GNU Parallel 2018 http://www.lulu.com/shop/ole-tange/gnu-parallel-2018/paperback/product-23558902.html
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GNU Parallel - For people who live life in the parallel lane.
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If you like GNU Parallel record a video testimonial: Say who you are, what you use GNU Parallel for, how it helps you, and what you like most about it. Include command that uses GNU Parallel if you feel like it.
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= About GNU Parallel =
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GNU Parallel is a shell tool for executing jobs in parallel using one or more computers. A job can be a single command or a small script that has to be run for each of the lines in the input. The typical input is a list of files, a list of hosts, a list of users, a list of URLs, or a list of tables. A job can also be a command that reads from a pipe. GNU Parallel can then split the input and pipe it into commands in parallel.
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If you use xargs and tee today you will find GNU Parallel very easy to use as GNU Parallel is written to have the same options as xargs. If you write loops in shell, you will find GNU Parallel may be able to replace most of the loops and make them run faster by running several jobs in parallel. GNU Parallel can even replace nested loops.
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GNU Parallel makes sure output from the commands is the same output as you would get had you run the commands sequentially. This makes it possible to use output from GNU Parallel as input for other programs.
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For example you can run this to convert all jpeg files into png and gif files and have a progress bar:
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parallel --bar convert {1} {1.}.{2} ::: *.jpg ::: png gif
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Or you can generate big, medium, and small thumbnails of all jpeg files in sub dirs:
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find . -name '*.jpg' |
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parallel convert -geometry {2} {1} {1//}/thumb{2}_{1/} :::: - ::: 50 100 200
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You can find more about GNU Parallel at: http://www.gnu.org/s/parallel/
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You can install GNU Parallel in just 10 seconds with:
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$ (wget -O - pi.dk/3 || lynx -source pi.dk/3 || curl pi.dk/3/ || \
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fetch -o - http://pi.dk/3 ) > install.sh
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$ sha1sum install.sh | grep 3374ec53bacb199b245af2dda86df6c9
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12345678 3374ec53 bacb199b 245af2dd a86df6c9
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$ md5sum install.sh | grep 029a9ac06e8b5bc6052eac57b2c3c9ca
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029a9ac0 6e8b5bc6 052eac57 b2c3c9ca
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$ sha512sum install.sh | grep f517006d9897747bed8a4694b1acba1b
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40f53af6 9e20dae5 713ba06c f517006d 9897747b ed8a4694 b1acba1b 1464beb4
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60055629 3f2356f3 3e9c4e3c 76e3f3af a9db4b32 bd33322b 975696fc e6b23cfb
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$ bash install.sh
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Watch the intro video on http://www.youtube.com/playlist?list=PL284C9FF2488BC6D1
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Walk through the tutorial (man parallel_tutorial). Your command line will love you for it.
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When using programs that use GNU Parallel to process data for publication please cite:
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O. Tange (2018): GNU Parallel 2018, March 2018, https://doi.org/10.5281/zenodo.1146014.
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If you like GNU Parallel:
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* Give a demo at your local user group/team/colleagues
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* Post the intro videos on Reddit/Diaspora*/forums/blogs/ Identi.ca/Google+/Twitter/Facebook/Linkedin/mailing lists
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* Get the merchandise https://gnuparallel.threadless.com/designs/gnu-parallel
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* Request or write a review for your favourite blog or magazine
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* Request or build a package for your favourite distribution (if it is not already there)
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* Invite me for your next conference
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If you use programs that use GNU Parallel for research:
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* Please cite GNU Parallel in you publications (use --citation)
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If GNU Parallel saves you money:
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* (Have your company) donate to FSF https://my.fsf.org/donate/
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= About GNU SQL =
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GNU sql aims to give a simple, unified interface for accessing databases through all the different databases' command line clients. So far the focus has been on giving a common way to specify login information (protocol, username, password, hostname, and port number), size (database and table size), and running queries.
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The database is addressed using a DBURL. If commands are left out you will get that database's interactive shell.
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When using GNU SQL for a publication please cite:
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O. Tange (2011): GNU SQL - A Command Line Tool for Accessing Different Databases Using DBURLs, ;login: The USENIX Magazine, April 2011:29-32.
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= About GNU Niceload =
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GNU niceload slows down a program when the computer load average (or other system activity) is above a certain limit. When the limit is reached the program will be suspended for some time. If the limit is a soft limit the program will be allowed to run for short amounts of time before being suspended again. If the limit is a hard limit the program will only be allowed to run when the system is below the limit.
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