sci-libs/ceres-solver: version bump

3 files changed, 125 insertions, 0 deletions

diff --git a/sci-libs/ceres-solver/Manifest b/sci-libs/ceres-solver/Manifest
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+++ b/sci-libs/ceres-solver/Manifest
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+DIST ceres-solver-1.11.0.tar.gz 3944965 SHA256 4d666cc33296b4c5cd77bad18ffc487b3223d4bbb7d1dfb342ed9a87dc9af844 SHA512 4941538e6ec31e2ee56a24446748dc5d6dd02ba9c151e4320a2db943fd1a377455b0ee23d56780e1f05322b30e25057145c540fde901d7fd2244ec630a73527c WHIRLPOOL 82e8c9f8fcf66f20dea28c5ddcfc4ac030a20d86c498eda487899b090fb67e7e44e3e1a76d3b689a409860c83713005e4f889814707d25cf298892ae9ea78890
diff --git a/sci-libs/ceres-solver/ceres-solver-1.11.0.ebuild b/sci-libs/ceres-solver/ceres-solver-1.11.0.ebuild
new file mode 100644
index 0000000..9621886
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+++ b/sci-libs/ceres-solver/ceres-solver-1.11.0.ebuild
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+# Copyright 1999-2014 Gentoo Foundation
+# Distributed under the terms of the GNU General Public License v2
+# $Id$
+
+EAPI=5
+
+PYTHON_COMPAT=( python2_7 python3_{4,5} )
+
+inherit cmake-multilib eutils python-any-r1 toolchain-funcs
+
+DESCRIPTION="Nonlinear least-squares minimizer"
+HOMEPAGE="http://ceres-solver.org/"
+SRC_URI="${HOMEPAGE}/${P}.tar.gz"
+
+LICENSE="sparse? ( BSD ) !sparse? ( LGPL-2.1 ) cxsparse? ( BSD )"
+SLOT="0/1"
+KEYWORDS="~amd64 ~x86 ~amd64-linux ~x86-linux"
+
+IUSE="cxsparse c++11 doc examples gflags lapack openmp +schur sparse test"
+REQUIRED_USE="test? ( gflags ) sparse? ( lapack ) doc? ( ${PYTHON_REQUIRED_USE} )"
+
+RDEPEND="
+	dev-cpp/glog[gflags?]
+	cxsparse? ( sci-libs/cxsparse:0= )
+	lapack? ( virtual/lapack )
+	sparse? (
+		sci-libs/amd:0=
+		sci-libs/camd:0=
+		sci-libs/ccolamd:0=
+		sci-libs/cholmod:0=
+		sci-libs/colamd:0=
+		sci-libs/spqr:0= )"
+
+DEPEND="${RDEPEND}
+	dev-cpp/eigen:3
+	doc? ( dev-python/sphinx dev-python/sphinx_rtd_theme )
+	lapack? ( virtual/pkgconfig )"
+
+pkg_setup() {
+	if [[ ${MERGE_TYPE} != binary ]] && use openmp; then
+		if [[ $(tc-getCXX) == *g++* ]] && ! tc-has-openmp; then
+			ewarn "OpenMP is not available in your current selected gcc"
+			die "need openmp capable gcc"
+		fi
+	fi
+	use doc && python-any-r1_pkg_setup
+}
+
+src_prepare() {
+	# search paths work for prefix
+	sed -e "s:/usr:${EPREFIX}/usr:g" \
+		-i cmake/*.cmake || die
+
+	# remove Werror
+	sed -e 's/-Werror=(all|extra)//g' \
+		-i CMakeLists.txt || die
+
+	# respect gentoo doc install directory
+	sed -e "s:share/doc/ceres:share/doc/${PF}:" \
+		-i docs/source/CMakeLists.txt || die
+	cmake-utils_src_prepare
+}
+
+src_configure() {
+	# CUSTOM_BLAS=OFF EIGENSPARSE=OFF MINIGLOG=OFF CXX11=OFF
+	local mycmakeargs=(
+		-DBUILD_SHARED_LIBS=ON
+		-DBUILD_EXAMPLES=OFF
+		$(cmake-utils_use_enable test TESTING)
+		$(cmake-utils_use c++11 CXX11)
+		$(cmake-utils_use doc BUILD_DOCUMENTATION)
+		$(cmake-utils_use gflags GFLAGS)
+		$(cmake-utils_use lapack LAPACK)
+		$(cmake-utils_use openmp OPENMP)
+		$(cmake-utils_use schur SCHUR_SPECIALIZATIONS)
+		$(cmake-utils_use cxsparse CXSPARSE)
+		$(cmake-utils_use sparse SUITESPARSE)
+	)
+	use sparse || use cxsparse || mycmakeargs+=( -DEIGENSPARSE=ON )
+	cmake-multilib_src_configure
+}
+
+src_install() {
+	cmake-multilib_src_install
+	dodoc README.md VERSION
+
+	if use examples; then
+		insinto /usr/share/doc/${PF}
+		docompress -x /usr/share/doc/${PF}/examples
+		doins -r examples data
+	fi
+}
diff --git a/sci-libs/ceres-solver/metadata.xml b/sci-libs/ceres-solver/metadata.xml
new file mode 100644
index 0000000..882a4e4
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+++ b/sci-libs/ceres-solver/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">
+  Ceres Solver is a portable C++ library that allows for
+  modeling and solving large complicated nonlinear least squares
+  problems. It features:
+    * automatic differentiation
+    * robust loss functions
+    * local parameterizations
+    * threaded Jacobian evaluators and linear solvers
+    * Levenberg-Marquardt and Dogleg (Powell, Subspace) solvers
+    * Dense QR and Cholesky factorization (using Eigen) for small problems
+    * Sparse Cholesky factorization (using SuiteSparse) for large sparse
+      problems
+    * Specialized solvers for bundle adjustment problems in computer vision
+    * Iterative linear solvers for general sparse and bundle
+      adjustment problems
+</longdescription>
+<use>
+  <flag name="c++11">Use C++11 compiler features instead of internal ones</flag>
+  <flag name="cxsparse">Enable simple support for sparse matrix algebra from
+  <pkg>sci-libs/cxsparse</pkg> with no LAPACK dependencies</flag>
+  <flag name="schur">Enable fixed-size schur specializations (disable if
+  binary size is an issue)</flag>
+  <flag name="sparse">Enable support for sparse matrix algebra with various
+  packages from SuiteSparse instead of Eigen Sparse</flag>
+  <flag name="gflags">Use <pkg>dev-cpp/gflags</pkg> for flag parsing</flag>
+  <flag name="protobuf">Use <pkg>dev-libs/protobuf</pkg> to encode structured data</flag>
+</use>
+</pkgmetadata>