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authorRobin H. Johnson <robbat2@gentoo.org>2015-08-08 13:49:04 -0700
committerRobin H. Johnson <robbat2@gentoo.org>2015-08-08 17:38:18 -0700
commit56bd759df1d0c750a065b8c845e93d5dfa6b549d (patch)
tree3f91093cdb475e565ae857f1c5a7fd339e2d781e /sci-libs/blas-reference/metadata.xml
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proj/gentoo: Initial commit
This commit represents a new era for Gentoo: Storing the gentoo-x86 tree in Git, as converted from CVS. This commit is the start of the NEW history. Any historical data is intended to be grafted onto this point. Creation process: 1. Take final CVS checkout snapshot 2. Remove ALL ChangeLog* files 3. Transform all Manifests to thin 4. Remove empty Manifests 5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$ 5.1. Do not touch files with -kb/-ko keyword flags. Signed-off-by: Robin H. Johnson <robbat2@gentoo.org> X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed
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diff --git a/sci-libs/blas-reference/metadata.xml b/sci-libs/blas-reference/metadata.xml
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+<?xml version="1.0" encoding="UTF-8"?>
+<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
+<pkgmetadata>
+ <herd>sci</herd>
+ <longdescription lang="en">
+The BLAS (Basic Linear Algebra Subprograms) are high quality "building
+block" routines for performing basic vector and matrix operations. Level 1
+BLAS do vector-vector operations, Level 2 BLAS do matrix-vector operations,
+and Level 3 BLAS do matrix-matrix operations. Because the BLAS are
+efficient, portable, and widely available, they're commonly used in the
+development of high quality linear algebra software, LAPACK for
+example. This packages implements the reference FORTRAN 77 library.
+</longdescription>
+</pkgmetadata>