[gentoo-commits] repo/proj/guru:dev commit in: sci-libs/ann/

["Alessandro Barbieri" <lssndrbarbieri@gmail.com>]

commit:     70a4ef8236768e3d9efbb9f4a8aaf3ad7ddbcc38
Author:     Alessandro Barbieri <lssndrbarbieri <AT> gmail <DOT> com>
AuthorDate: Sun Jul 11 07:50:16 2021 +0000
Commit:     Alessandro Barbieri <lssndrbarbieri <AT> gmail <DOT> com>
CommitDate: Sun Jul 11 07:50:16 2021 +0000
URL:        https://gitweb.gentoo.org/repo/proj/guru.git/commit/?id=70a4ef82

sci-libs/ann: fix SONAME

Closes: https://bugs.gentoo.org/785550
Signed-off-by: Alessandro Barbieri <lssndrbarbieri <AT> gmail.com>

 sci-libs/ann/ann-1.1.2_p7-r1.ebuild | 75 +++++++++++++++++++++++++++++++++++++
 sci-libs/ann/metadata.xml           |  7 ++++
 2 files changed, 82 insertions(+)

diff --git a/sci-libs/ann/ann-1.1.2_p7-r1.ebuild b/sci-libs/ann/ann-1.1.2_p7-r1.ebuild
new file mode 100644
index 000000000..9cf70e996
--- /dev/null
+++ b/sci-libs/ann/ann-1.1.2_p7-r1.ebuild
@@ -0,0 +1,75 @@
+# Copyright 1999-2021 Gentoo Authors
+# Distributed under the terms of the GNU General Public License v2
+
+EAPI="7"
+
+MY_PV="${PV//_p*/}"
+MY_P="${PN}-${MY_PV}"
+
+inherit autotools eutils flag-o-matic
+
+DESCRIPTION="A Library for Approximate Nearest Neighbor Searching"
+HOMEPAGE="
+	https://www.cs.umd.edu/~mount/ANN
+	https://tracker.debian.org/pkg/ann
+"
+SRC_URI="
+	mirror://debian/pool/main/a/${PN}/${PN}_${MY_PV}+doc.orig.tar.gz
+	mirror://debian/pool/main/a/${PN}/${PN}_${MY_PV}+doc-${PV##*p}.debian.tar.xz
+"
+S="${WORKDIR}/${MY_P}+doc"
+
+LICENSE="LGPL-2.1"
+SLOT="0"
+KEYWORDS="~amd64"
+IUSE="profile test"
+
+BDEPEND="dev-util/quilt"
+
+RESTRICT="!test? ( test )"
+DOCS=( doc/ANNmanual.pdf doc/ReadMe.txt )
+
+src_prepare() {
+	export QUILT_PATCHES="${WORKDIR}/debian/patches"
+	export QUILT_SERIES="${QUILT_PATCHES}/series"
+	quilt push -a || die
+	eapply_user
+
+	eautoreconf
+}
+
+src_configure() {
+	append-cxxflags "-Wl,-soname=libann.so.0"
+	use profile && append-cxxflags -DANN_PERF
+	econf --disable-static
+}
+
+src_test() {
+	pushd test || die
+	./ann_test < test1.in > /dev/null || die
+	./ann_test < test2.in > /dev/null || die
+	popd || die
+}
+
+src_install() {
+	default
+
+	insinto /usr/include/ANN
+	doins -r include/ANN/.
+
+	insinto "/usr/share/${P}/sample"
+	doins sample/query.pts
+	doins sample/sample.save
+	doins sample/data.pts
+
+	pushd "${WORKDIR}/debian" || die
+	pod2man --center="User Commands" ann2fig.pod ann2fig.1 || die
+	pod2man --center="User Commands" ann_sample.pod ann_sample.1 || die
+	pod2man --center="User Commands" ann_test.pod ann_test.1 || die
+	doman ann_sample.1
+	doman ann_test.1
+	doman ann2fig.1
+	popd || die
+
+	find "${D}" -name '*.la' -delete || die
+}

diff --git a/sci-libs/ann/metadata.xml b/sci-libs/ann/metadata.xml
index 2931ad87d..2b91df91a 100644
--- a/sci-libs/ann/metadata.xml
+++ b/sci-libs/ann/metadata.xml
@@ -10,7 +10,14 @@
       <email>mount@cs.umd.edu</email>
       <name>Dave Mount</name>
     </maintainer>
+    <maintainer>
+      <email>arya@cs.ust.hk</email>
+      <name>Sunil Arya</name>
+    </maintainer>
   </upstream>
+  <use>
+    <flag name="profile">Enable performance evaluation. (This may slow execution slightly.)</flag>
+  </use>
   <longdescription lang="en">ANN is a library written in C++, which supports data structures and algorithms for both exact and approximate nearest neighbor searching in arbitrarily high dimensions. ANN assumes that distances are measured using any class of distance functions called Minkowski metrics. These include the well known Euclidean distance, Manhattan distance, and max distance. ANN performs quite efficiently for point sets ranging in size from thousands to hundreds of thousands, and in dimensions as high as 20. 
   </longdescription>
 </pkgmetadata>