File libsvm.spec of Package libsvm

#
# spec file for package libsvm
#
# Copyright (c) 2021 SUSE LLC
#
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# 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/
#


%define src_ver 324
Name:           libsvm
Version:        3.24
Release:        0
Summary:        A Library for Support Vector Machines
License:        BSD-3-Clause
Group:          Development/Languages/C and C++
URL:            http://www.csie.ntu.edu.tw/~cjlin/libsvm/
Source0:        https://github.com/cjlin1/libsvm/archive/v324/%{name}-%{src_ver}.tar.gz
Patch0:         use-system-qt5-path.patch
BuildRequires:  fdupes
BuildRequires:  gcc-c++
BuildRequires:  java-devel
BuildRequires:  javapackages-tools
BuildRequires:  ncurses-devel
BuildRequires:  python-devel

%description
LIBSVM is an integrated software for support vector classification,
(C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution
estimation (one-class SVM). It supports multi-class classification.

%package -n svm-tools
Summary:        A set of tools to use with libsvm
Group:          Development/Languages/C and C++

%description -n svm-tools
LIBSVM is an integrated software for support vector classification,
(C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution
estimation (one-class SVM). It supports multi-class classification.

%package -n libsvm2
Summary:        A Library for Support Vector Machines
Group:          System/Libraries

%description -n libsvm2
LIBSVM is an integrated software for support vector classification,
(C-SVC, nu-SVC), regression (epsilon-SVR, nu-SVR) and distribution
estimation (one-class SVM). It supports multi-class classification.

%package	devel
Summary:        C headers for developing programs with libsvm
Group:          Development/Libraries/C and C++
Requires:       libsvm2 = %{version}
Requires:       ncurses-devel

%description	devel
This package contains the libraries and header files needed for
developing applications with libsvm.

%package -n python-svm
Summary:        Python bindings libsvm
Group:          Development/Languages/Python
Requires:       gnuplot
Requires:       svm-tools = %{version}
BuildArch:      noarch

%description -n python-svm
This package contains the python bindings libsvm.

%package java
Summary:        Python bindings libsvm
Group:          Development/Libraries/Java
Requires:       java >= 1.6.0
Requires:       javapackages-tools
Requires:       libsvm2 = %{version}
Requires(post): javapackages-tools
Requires(postun):javapackages-tools
BuildArch:      noarch

%description java
This package contains the java bindings libsvm.

%package -n svm-toy
Summary:        Exploring svm data
Group:          Development/Libraries/C and C++
Requires:       libsvm2 = %{version}
BuildRequires:  libQt5Widgets-devel
BuildRequires:  libqt5-qtbase-common-devel

%description -n svm-toy
This is a simple graphical interface which shows how SVM
separate data in a plane. You can click in the window to
draw data points. Use "change" button to choose class
1, 2 or 3 (i.e., up to three classes are supported), "load"
button to load data from a file, "save" button to save data to
a file, "run" button to obtain an SVM model, and "clear"
button to clear the window.



%prep
%setup -q -n %{name}-%{src_ver}
%autopatch -p1

%build
export CFLAGS="%{optflags} -Wconversion -fPIC"
export CXXFLAGS="$CFLAGS"
make %{?_smp_mflags}
make %{?_smp_mflags} all
make %{?_smp_mflags} lib
rm -f java/libsvm.jar
make %{?_smp_mflags} -C java
make %{?_smp_mflags} -C svm-toy/qt

%install
mkdir -p %{buildroot}%{_bindir}
mkdir -p %{buildroot}%{_javadir}
mkdir -p %{buildroot}%{_libdir}
mkdir -p %{buildroot}%{_includedir}/libsvm
mkdir -p %{buildroot}%{python_sitelib}/svm

install -m 755 svm-train %{buildroot}%{_bindir}
install -m 755 svm-scale %{buildroot}%{_bindir}
install -m 755 svm-predict %{buildroot}%{_bindir}
install -m 755 svm-toy/qt/svm-toy %{buildroot}%{_bindir}
install -m 755 ./tools/checkdata.py %{buildroot}%{_bindir}/svm-checkdata
install -m 755 ./tools/grid.py %{buildroot}%{_bindir}/svm-grid
install -m 755 ./tools/subset.py %{buildroot}%{_bindir}/svm-subset
install -m 755 ./tools/easy.py %{buildroot}%{_bindir}/svm-easy
install -m 644 svm.h %{buildroot}%{_includedir}/libsvm/
install -m 755 libsvm.so.2 %{buildroot}%{_libdir}
ln -s %{_libdir}/libsvm.so.2 %{buildroot}%{_libdir}/libsvm.so
mv ./python/README README-python
mv ./tools/README README-python-tools

install -m 755 ./python/svm.py %{buildroot}%{python_sitelib}/svm
install -m 755 ./python/svmutil.py %{buildroot}%{python_sitelib}/svm
touch %{buildroot}%{python_sitelib}/svm/__init__.py

install -m 755 ./java/%{name}.jar %{buildroot}%{_javadir}/%{name}.jar

%fdupes -s %{buildroot}

%post -n libsvm2 -p /sbin/ldconfig
%postun -n libsvm2 -p /sbin/ldconfig

%files -n svm-tools
%doc FAQ.html README
%{_bindir}/svm-train
%{_bindir}/svm-scale
%{_bindir}/svm-predict

%files -n libsvm2
%doc COPYRIGHT
%{_libdir}/libsvm.so.2

%files devel
%{_includedir}/libsvm
%{_libdir}/libsvm.so

%files -n python-svm
%doc README-python README-python-tools
%{_bindir}/svm-checkdata
%{_bindir}/svm-grid
%{_bindir}/svm-subset
%{_bindir}/svm-easy
%{python_sitelib}/svm

%files java
%{_javadir}/%{name}.jar

%files -n svm-toy
%{_bindir}/svm-toy

%changelog