2015-08-29 18:49:00 +01:00
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{ fetchurl, stdenv, perl, makeWrapper, procps }:
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2010-05-02 10:27:32 +01:00
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stdenv.mkDerivation rec {
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2019-02-24 08:41:31 +00:00
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name = "parallel-20190222";
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2010-05-02 10:27:32 +01:00
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src = fetchurl {
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url = "mirror://gnu/parallel/${name}.tar.bz2";
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2019-02-24 08:41:31 +00:00
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sha256 = "073bj0ji9liq07j6a7y9i4kxfkv06kvavhh7654f2bgfavfbmcc6";
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2010-05-02 10:27:32 +01:00
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};
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2018-09-16 23:25:42 +01:00
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nativeBuildInputs = [ makeWrapper ];
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buildInputs = [ perl procps ];
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2010-09-05 16:19:02 +01:00
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2017-06-13 21:28:05 +01:00
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postInstall = ''
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2015-08-29 18:49:00 +01:00
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wrapProgram $out/bin/parallel \
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2018-09-16 23:25:42 +01:00
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--prefix PATH : "${stdenv.lib.makeBinPath [ procps perl ]}"
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2015-08-27 09:00:58 +01:00
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'';
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2010-05-02 10:27:32 +01:00
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doCheck = true;
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2014-09-25 17:17:54 +01:00
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meta = with stdenv.lib; {
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2014-08-24 15:21:08 +01:00
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description = "Shell tool for executing jobs in parallel";
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2010-05-02 10:27:32 +01:00
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longDescription =
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'' GNU Parallel is a shell tool for executing jobs in parallel. A job
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is typically a single command or a small script that has to be run
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for each of the lines in the input. The typical input is a list of
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files, a list of hosts, a list of users, or a list of tables.
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If you use xargs today you will find GNU Parallel very easy to use.
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If you write loops in shell, you will find GNU Parallel may be able
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to replace most of the loops and make them run faster by running
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jobs in parallel. If you use ppss or pexec you will find GNU
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Parallel will often make the command easier to read.
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GNU Parallel makes sure output from the commands is the same output
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as you would get had you run the commands sequentially. This makes
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it possible to use output from GNU Parallel as input for other
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programs.
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'';
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2018-12-01 18:22:13 +00:00
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homepage = https://www.gnu.org/software/parallel/;
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2014-09-25 17:17:54 +01:00
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license = licenses.gpl3Plus;
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platforms = platforms.all;
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2016-06-23 08:51:20 +01:00
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maintainers = with maintainers; [ pSub vrthra ];
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2010-05-02 10:27:32 +01:00
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};
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}
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