File Shark4.spec of Package Shark4

#
# spec file for package Shark4
#
# Copyright (c) 2018 SUSE LINUX GmbH, Nuernberg, Germany.
#
# 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 http://bugs.opensuse.org/
#

%define min_boost_version 1.48.0
%define libname libshark0

Name:           Shark4
Summary:        C++ machine learning library
License:        LGPL-3.0
Group:          Development/Languages/C and C++
Version:        4.0.1
Release:        0
URL:            http://www.shark-ml.org/
Source0:        https://github.com/Shark-ML/Shark/archive/v%{version}.zip#/Shark-%{version}.zip
# PATCH-FIX-UPSTREAM - Shark-fix_lib64_usage.patch: install in lib64 instead of lib for 64-bit
Patch1:         Shark-fix_lib64_usage.patch
BuildRequires:  cblas-devel
BuildRequires:  cmake
BuildRequires:  gcc-c++
BuildRequires:  hdf5-devel
BuildRequires:  libboost_filesystem-devel >= %{min_boost_version}
BuildRequires:  libboost_serialization-devel >= %{min_boost_version}
BuildRequires:  libboost_system-devel >= %{min_boost_version}
BuildRequires:  libboost_test-devel >= %{min_boost_version}
# BuildRequires:  libOpenCL1
# BuildRequires:  Mesa-libOpenCL
BuildRequires:  openblas-devel
# BuildRequires:  opencl-cpp-headers
BuildRequires:  unzip
BuildRequires:  zlib-devel

%description
Shark is a fast, modular, feature-rich open-source C++ machine learning library.

It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, 
neural networks, and various other machine learning techniques. 
It serves as a powerful toolbox for real world applications as well as for research. 
Shark works on Windows, MacOS X, and Linux. It comes with extensive documentation. 

%package -n %{libname}
Summary:        Libraries for SHARK
Group:          Development/Languages/C and C++

%description -n %{libname}
This package contains the development files required to compile programs that use SHARK.

%package examples
Summary:        Examples for SHARK C++ machine learning library
Group:          Development/Languages/C and C++
Requires:       %{libname} == %{version}

%description examples
This package contains some examples to use SHARK.

%package devel
Summary:        Development header files and libraries for SHARK
Group:          Development/Languages/C and C++
Requires:       %{libname} == %{version}
Requires:       %{name} == %{version}

%description devel
This package contains the development files required to compile programs that use SHARK.

%prep
%setup -q -n Shark-%{version}
%patch1 -p1

%build
# CLBLAST (Uses CLBLAST as OpenCL linear algebra backend) is experimental, so disable it for now
%cmake \
  -DENABLE_CBLAS:BOOL=ON \
  -DENABLE_OPENMP:BOOL=ON \
  -DENABLE_OPENCL:BOOL=OFF \
  -DENABLE_CLBLAST:BOOL=OFF \
  -DENABLE_SIMD:BOOL=ON \
  -DBUILD_TESTING:BOOL=ON \
  -DBUILD_EXAMPLES:BOOL=ON 
make %{?_smp_mflags}

%install
%cmake_install
# Move examples ELF binaries to _bindir
pushd %{buildroot}/usr/share/shark/examples/
for file in \
	Data/Datasets Data/Import Data/Normalization Data/Subsets \
	EA/MOO/MOCMAApproximated EA/MOO/MOCMAExperiment EA/MOO/MOCMASimple EA/SOO/AckleyES EA/SOO/Archive EA/SOO/CMAExperiment EA/SOO/CMAPlot EA/SOO/CMASimple EA/SOO/ElitistCMASimpleMain EA/SOO/TSP \
	Statistiscs/Statistics \
	Supervised/CSvmGridSearchTutorial Supervised/CSvmLinear Supervised/CSvmMaxLikelihoodMS Supervised/CSvmTutorial Supervised/CVFolds Supervised/DeepNetworkTrainingRBM Supervised/FFNNBasicTutorial \
	Supervised/KNNCrossValidationTutorial Supervised/KNNTutorial Supervised/KTA-tutorial Supervised/KernelBudgetedSGDTutorial Supervised/KernelLogisticRegression Supervised/KernelRegression \
	Supervised/KernelSelection Supervised/LDATutorial Supervised/LassoRegression Supervised/MNISTForExperts Supervised/McSvm Supervised/McSvmLinear Supervised/MklKernelTutorial Supervised/MultiTaskSvm \
	Supervised/OneVersusOne Supervised/RFTutorial Supervised/StoppingCriteriaTutorial Supervised/SubrangeKernelTutorial Supervised/linearRegressionTutorial Supervised/quickstartTutorial Supervised/regressionTutorial \
	Unsupervised/AutoencoderTutorial Unsupervised/BinaryRBM Unsupervised/HierarchicalClustering Unsupervised/KMeansTutorial Unsupervised/OneClassSvm Unsupervised/PCA Unsupervised/PCATutorial Unsupervised/VariationalAutoencoder; do
	mkdir -p %{buildroot}%{_bindir}
	mv $file %{buildroot}%{_bindir}/`basename $file`
done
popd

%post -n %{libname} -p /sbin/ldconfig
%postun -n %{libname} -p /sbin/ldconfig

%files
%doc README.txt
%license COPYING COPYING.LESSER
%{_bindir}/SharkVersion

%files -n %{libname}
%{_libdir}/*.so.*

%files examples
%dir %{_datadir}/shark
%{_datadir}/shark/*
%{_bindir}/*
%exclude %{_bindir}/SharkVersion

%files devel
%{_includedir}/*
%{_libdir}/*.so
%dir %{_libdir}/cmake/Shark
%{_libdir}/cmake/Shark/*.cmake

%changelog