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metslib
metslib.spec
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File metslib.spec of Package metslib
# # spec file for package metslib # # Copyright (c) 2021 SUSE LLC # # All modifications and additions to the file contributed by third parties # remain the property of their copyright owners, unless otherwise agreed # upon. The license for this file, and modifications and additions to the # file, is the same license as for the pristine package itself (unless the # license for the pristine package is not an Open Source License, in which # case the license is the MIT License). An "Open Source License" is a # license that conforms to the Open Source Definition (Version 1.9) # published by the Open Source Initiative. # Please submit bugfixes or comments via https://bugs.opensuse.org/ # Name: metslib Version: 0.5.3 Release: 0 Summary: Metaheuristic modeling framework and optimization toolkit in modern C++ License: CPL-1.0 OR GPL-3.0-or-later Group: Development/Libraries/C and C++ URL: https://projects.coin-or.org/metslib Source0: http://www.coin-or.org/download/source/%{name}/%{name}-%{version}.tgz # Removes all "libdir" paths from .pc file (which are unneeded). Not upstream Patch0: %{name}-0.5.3-noarch.patch # Port metslib to use boost random functionality instead of outdated tr1 # Based on https://github.com/PointCloudLibrary/pcl/commit/57ace9a92d1667eaa6193262032ff688e222ce0f # Not upstream Patch1: %{name}-0.5.3-boost.patch BuildRequires: doxygen BuildRequires: fdupes BuildRequires: gcc-c++ BuildRequires: graphviz BuildRequires: pkg-config %if 0%{?suse_version} > 1325 BuildRequires: libboost_headers-devel BuildRequires: libboost_random-devel %else BuildRequires: boost-devel %endif BuildArch: noarch %description METSlib is a metaheuristic modeling framework and optimization toolkit in C++. This package has no binary, but consists only of the header files and documentation. %package devel Summary: Metaheuristic modeling framework and optimization toolkit in modern C++ Group: Development/Libraries/C and C++ %description devel METSlib is a metaheuristic modeling framework and optimization toolkit in C++. Model and algorithms are modular: any search algorithm can be applied to the same model. On the other hand, no assumption is made on the model, any problem type can be worked on: timetabling, assignment problems, vehicle routing, bin-packing and so on. Once the model is implemented in the problem framework, the library allows testing of different Taboo Search strategies or even different algorithms (Simulated Annealing or other local search based algorithms) with a few lines of code. %package doc Summary: Documentation for %{name} Group: Documentation/HTML %description doc The %{name}-doc package provides documentation for the %{name} library. %prep %autosetup -p0 # Disable -O3 optimization for unit tests sed -i 's| -O3||g' configure %build export CXXFLAGS="%{optflags} -std=c++14" %configure %make_build doxygen doxydoc/doxygen.conf %install %make_install # Move pkgconfig file to /usr/share/pkgconfig (since package is noarch) mkdir -p %{buildroot}%{_datadir} mv %{buildroot}%{_libdir}/pkgconfig %{buildroot}%{_datadir} %fdupes -s doxydoc/html %check make %{?_smp_mflags} test %files devel %doc AUTHORS NEWS README %if 0%{?suse_version} >= 1500 %license COPYING %else %doc COPYING %endif %{_includedir}/* %{_datadir}/pkgconfig/*.pc %files doc %doc doxydoc/html %if 0%{?suse_version} >= 1500 %license COPYING %else %doc COPYING %endif %changelog
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