commit:     0388bc8c10481815b0e692227052c8a8d6970a44
Author:     Sébastien Fabbro <bicatali <AT> gentoo <DOT> org>
AuthorDate: Wed Aug  2 16:25:58 2017 +0000
Commit:     Sebastien Fabbro <bicatali <AT> gentoo <DOT> org>
CommitDate: Thu Aug  3 17:33:00 2017 +0000
URL:        https://gitweb.gentoo.org/repo/gentoo.git/commit/?id=0388bc8c

sci-libs/libsvm: add python-3.6, edited tools description, sub-slotted the 
library

Package-Manager: Portage-2.3.6, Repoman-2.3.3

 sci-libs/libsvm/libsvm-3.22.ebuild |  4 ++--
 sci-libs/libsvm/metadata.xml       | 14 +++++++-------
 2 files changed, 9 insertions(+), 9 deletions(-)

diff --git a/sci-libs/libsvm/libsvm-3.22.ebuild 
b/sci-libs/libsvm/libsvm-3.22.ebuild
index a87166cdefc..57d4bbb5185 100644
--- a/sci-libs/libsvm/libsvm-3.22.ebuild
+++ b/sci-libs/libsvm/libsvm-3.22.ebuild
@@ -3,7 +3,7 @@
 
 EAPI=6
 
-PYTHON_COMPAT=( python{2_7,3_4,3_5} )
+PYTHON_COMPAT=( python{2_7,3_4,3_5,3_6} )
 
 inherit flag-o-matic java-pkg-opt-2 python-r1 toolchain-funcs
 
@@ -12,7 +12,7 @@ HOMEPAGE="http://www.csie.ntu.edu.tw/~cjlin/libsvm/";
 SRC_URI="http://www.csie.ntu.edu.tw/~cjlin/libsvm/${P}.tar.gz";
 
 LICENSE="BSD"
-SLOT="0"
+SLOT="0/2"
 KEYWORDS="~amd64 ~ppc ~ppc64 ~x86 ~amd64-linux ~x86-linux"
 IUSE="java openmp python tools"
 REQUIRED_USE="python? ( ${PYTHON_REQUIRED_USE} )"

diff --git a/sci-libs/libsvm/metadata.xml b/sci-libs/libsvm/metadata.xml
index a6a14ad8fb8..7ba70023b93 100644
--- a/sci-libs/libsvm/metadata.xml
+++ b/sci-libs/libsvm/metadata.xml
@@ -6,13 +6,13 @@
     <name>Gentoo Science Project</name>
   </maintainer>
   <longdescription lang="en">
- The LIBSVM library is used to calculate Support Vector Machine
- optimizations  with a great variety of options. It includes
- one-class, two-class, multiclass, regression-mode, and probablistic
- output functionality. It is primarily of interest to machine-learning
- researchers and artificial intelligence application developers.
-</longdescription>
+    The LIBSVM library is used to calculate Support Vector Machine
+    optimizations  with a great variety of options. It includes
+    one-class, two-class, multiclass, regression-mode, and probablistic
+    output functionality. It is primarily of interest to machine-learning
+    researchers and artificial intelligence application developers.
+  </longdescription>
   <use>
-    <flag name="tools">Install python based tool scripts</flag>
+    <flag name="tools">Install python based tool scripts for data selection 
and visualization with <pkg>sci-visualization/gnuplot</pkg></flag>
   </use>
 </pkgmetadata>

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