File suitesparse.spec of Package suitesparse
#
# spec file for package suitesparse
#
# Copyright (c) 2012 SUSE LINUX Products 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/
#
Name: suitesparse
Summary: A collection of sparse matrix libraries
License: GPL-2.0+ and LGPL-2.1+
Group: Development/Libraries/Parallel
Version: 4.0.2
Release: 0
Url: http://www.cise.ufl.edu/research/sparse/SuiteSparse
Source: SuiteSparse-%{version}.tar.gz
Source2: %{name}-rpmlintrc
Patch0: no-removal-of-suitesparse_config-output.patch
Patch775418: bnc775418-enable-SuiteSparse_time-symbol.patch
BuildRoot: %{_tmppath}/%{name}-%{version}-build
BuildRequires: blas-devel
BuildRequires: gcc-c++
BuildRequires: gcc-fortran
BuildRequires: lapack-devel
%define amdver 2.3.1
%define amdso 2_3_1
%define btfver 1.2.0
%define btfso 1_2_0
%define camdver 2.3.1
%define camdso 2_3_1
%define ccolamdver 2.8.0
%define ccolamdso 2_8_0
%define cholmodver 2.0.1
%define cholmodso 2_0_1
%define colamdver 2.8.0
%define colamdso 2_8_0
%define csparsever 3.1.1
%define csparseso 3_1_1
%define cxsparsever 3.1.1
%define cxsparseso 3_1_1
%define kluver 1.2.1
%define kluso 1_2_1
%define ldlver 2.1.0
%define ldlso 2_1_0
%define rbiover 2.1.1
%define rbioso 2_1_1
%define spqrver 1.3.1
%define spqrso 1_3_1
%define umfpackver 5.6.1
%define umfpackso 5_6_1
# Your need define even it's just the same as main package
# or the %%build loop will override %%version with umfpack's version.
%define configver 4.0.2
%define configso 4_0_2
%define amdlib libamd-%{amdso}
%define btflib libbtf-%{btfso}
%define camdlib libcamd-%{camdso}
%define ccolamdlib libccolamd-%{ccolamdso}
%define cholmodlib libcholmod-%{cholmodso}
%define colamdlib libcolamd-%{colamdso}
%define csparselib libcsparsever-%{csparseso}
%define cxsparselib libcxsparse-%{cxsparseso}
%define klulib libklu-%{kluso}
%define ldllib libldl-%{ldlso}
%define rbiolib librbio-%{rbioso}
%define spqrlib libspqr-%{spqrso}
%define umfpacklib libumfpack-%{umfpackso}
%define configlib libsuitesparseconfig-%{configso}
%description
suitesparse is a collection of libraries for computations involving sparse
matrices.
%package devel
Summary: Development headers for SuiteSparse
License: GPL-2.0+ and LGPL-2.1+
Group: Development/Libraries/Parallel
Requires: %{amdlib} = %{amdver}
Requires: %{btflib} = %{btfver}
Requires: %{camdlib} = %{camdver}
Requires: %{ccolamdlib} = %{ccolamdver}
Requires: %{cholmodlib} = %{cholmodver}
Requires: %{colamdlib} = %{colamdver}
Requires: %{configlib} = %{configver}
Requires: %{configlib} = %{version}
Requires: %{csparselib} = %{csparsever}
Requires: %{cxsparselib} = %{cxsparsever}
Requires: %{klulib} = %{kluver}
Requires: %{ldllib} = %{ldlver}
Requires: %{rbiolib} = %{rbiover}
Requires: %{spqrlib} = %{spqrver}
Requires: %{umfpacklib} = %{umfpackver}
# make sure developers can find these packages
Provides: suitesparse-common-devel = %{version}
Obsoletes: suitesparse-common-devel < %{version}
Provides: SuiteSparse_config = %{version}
Obsoletes: SuiteSparse_config < %{version}
Provides: amd-devel = %{amdver}
Obsoletes: amd-devel < %{amdver}
Provides: umfpack-devel = %{umfpackver}
Obsoletes: umfpack-devel < %{umfpackver}
Provides: libamd-devel = %{amdver}
Obsoletes: libamd-devel < %{amdver}
Provides: libbtf-devel = %{btfver}
Obsoletes: libbtf-devel < %{btfver}
Provides: libcamd-devel = %{camdver}
Obsoletes: libcamd-devel < %{camdver}
Provides: libccolamd-devel = %{ccolamdver}
Obsoletes: libccolamd-devel < %{ccolamdver}
Provides: libcholmod-devel = %{cholmodver}
Obsoletes: libcholmod-devel < %{cholmodver}
Provides: libcolamd-devel = %{colamdver}
Obsoletes: libcolamd-devel < %{colamdver}
Provides: libcsparse-devel = %{csparsever}
Obsoletes: libcsparse-devel < %{csparsever}
Provides: libcxsparse-devel = %{cxsparsever}
Obsoletes: libcxsparse-devel < %{cxsparsever}
Provides: libklu-devel = %{kluver}
Obsoletes: libklu-devel < %{kluver}
Provides: libldl-devel = %{ldlver}
Obsoletes: libldl-devel < %{ldlver}
Provides: librbio-devel = %{rbiover}
Obsoletes: librbio-devel < %{rbiover}
Provides: libspqr-devel = %{spqrver}
Obsoletes: libspqr-devel < %{spqrver}
Provides: libumfpack-devel = %{umfpackver}
Obsoletes: libumfpack-devel < %{umfpackver}
Provides: libsuitesparseconfig-devel = %{configver}
Obsoletes: libsuitesparseconfig-devel < %{configver}
Provides: UFconfig-devel = %{configver}
Obsoletes: UFconfig-devel < %{configver}
%description devel
suitesparse is a collection of libraries for computations involving
sparse matrices.
The suitesparse-devel package contains files needed for developing
applications which use the suitesparse libraries.
It also includes SuiteSparse_config, which is required by nearly all
sparse matrix packages that I author or co-author. These include
SuiteSparseQR, AMD, COLAMD, CCOLAMD, CHOLMOD, KLU, BTF, LDL,
CXSparse, RBio, and UMFPACK. It is not required by CSparse, which is
a stand-alone package. SuiteSparse_config (prior to version 4.0.0)
was named UFconfig.
SuiteSparse_config contains a configuration file for "make"
(SuiteSparse_config.mk) and an include file (SuiteSparse_config.h).
Also included in SuiteSparse_config is a replacement for the
BLAS/LAPACK xerbla routine that does not print a warning message
(helpful if you don't want to link the entire Fortran I/O library
into a C application).
%package devel-static
Summary: Static version of SuiteSparse libraries
License: GPL-2.0+ and LGPL-2.1+
Group: Development/Libraries/Parallel
Requires: %{name}-devel = %{version}
%description devel-static
The suitesparse-static package contains the statically linkable
version of the suitesparse libraries.
%package -n %{amdlib}
Version: %{amdver}
Release: 0
Summary: Symmetric Approximate Minimum Degree
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{amdlib}
AMD is a set of routines for ordering a sparse matrix prior to
Cholesky factorization (or for LU factorization with diagonal
pivoting). There are versions in both C and Fortran. A MATLAB
interface is provided.
Note that this software has nothing to do with AMD the company.
AMD is part of the SuiteSparse sparse matrix suite.
%package -n %{btflib}
Version: %{btfver}
Release: 0
Summary: Permutation to Block Triangular Form
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{btflib}
BTF permutes an unsymmetric matrix (square or rectangular) into its
block upper triangular form (more precisely, it computes a Dulmage-
Mendelsohn decomposition).
BTF is part of the SuiteSparse sparse matrix suite.
%package -n %{camdlib}
Version: %{camdver}
Release: 0
Summary: Symmetric Approximate Minimum Degree
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{camdlib}
CAMD is a set of routines for ordering a sparse matrix prior to
Cholesky factorization (or for LU factorization with diagonal
pivoting). There are versions in both C and Fortran. A MATLAB
interface is provided.
CAMD is part of the SuiteSparse sparse matrix suite.
%package -n %{ccolamdlib}
Version: %{ccolamdver}
Release: 0
Summary: Constrained Column Approximate Minimum Degree
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{ccolamdlib}
CCOLAMD computes an column approximate minimum degree ordering
algorithm, (like COLAMD), but it can also be given a set of ordering
constraints. CCOLAMD is required by the CHOLMOD package.
CCOLAMD is part of the SuiteSparse sparse matrix suite.
%package -n %{cholmodlib}
Version: %{cholmodver}
Release: 0
Summary: Supernodal Sparse Cholesky Factorization and Update/Downdate
License: GPL-2.0 and LGPL-2.1
Group: Development/Libraries/Parallel
#bnc746867 cholmod from suitesparse should be GPL-2.0 and/or LGPL-2.0 licensed
%description -n %{cholmodlib}
CHOLMOD is a set of ANSI C routines for sparse Cholesky factorization
and update/downdate. A MATLAB interface is provided.
The performance of CHOLMOD was compared with 10 other codes in a
paper by Nick Gould, Yifan Hu, and Jennifer Scott. see also their raw
data. Comparing BCSLIB-EXT, CHOLMOD, MA57, MUMPS, Oblio, PARDISO,
SPOOLES, SPRSBLKLLT, TAUCS, UMFPACK, and WSMP, on 87 large symmetric
positive definite matrices, they found CHOLMOD to be fastest for 42
of the 87 matrices. Its run time is either fastest or within 10% of
the fastest for 73 out of 87 matrices. Considering just the larger
matrices, it is either the fastest or within 10% of the fastest for
40 out of 42 matrices. It uses the least amount of memory (or within
10% of the least) for 35 of the 42 larger matrices. Jennifer Scott
and Yifan Hu also discuss the design considerations for a sparse
direct code.
CHOLMOD is part of the SuiteSparse sparse matrix suite.
%package -n %{colamdlib}
Version: %{colamdver}
Release: 0
Summary: Column Approximate Minimum Degree
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{colamdlib}
The COLAMD column approximate minimum degree ordering algorithm
computes a permutation vector P such that the LU factorization of
A (:,P) tends to be sparser than that of A. The Cholesky
factorization of (A (:,P))'*(A (:,P)) will also tend to be sparser
than that of A'*A. SYMAMD is a symmetric minimum degree ordering
method based on COLAMD, available as a MATLAB-callable function. It
constructs a matrix M such that M'*M has the same pattern as A, and
then uses COLAMD to compute a column ordering of M. Colamd and symamd
tend to be faster and generate better orderings than their MATLAB
counterparts, colmmd and symmmd.
COLAMD is part of the SuiteSparse sparse matrix suite.
%package -n %{csparselib}
Version: %{csparsever}
Release: 0
Summary: Instructional Sparse Matrix Package
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{csparselib}
CSparse is a small yet feature-rich sparse matrix package written
specifically for a book. The purpose of the package is to demonstrate
a wide range of sparse matrix algorithms in as concise a code as
possible. CSparse is about 2,200 lines long (excluding its MATLAB
interface, demo codes, and test codes), yet it contains algorithms
(either asympotical optimal or fast in practice) for all of the
following functions described below. A MATLAB interface is included.
Note that the LU and Cholesky factorization algorithms are not as
fast as UMFPACK or CHOLMOD. Other functions have comparable
performance as their MATLAB equivalents (some are faster).
Documentation is very terse in the code; it is fully documented in
the book. Some indication of how to call the C functions in CSparse
is given by the CSparse/MATLAB/*.m help files.
CSparse is part of the SuiteSparse sparse matrix suite.
%package -n %{cxsparselib}
Version: %{cxsparsever}
Release: 0
Summary: An extended version of CSparse
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{cxsparselib}
CXSparse is an extended version of CSparse, with support for double
or complex matrices, with int or long integers.
CXSparse is part of the SuiteSparse sparse matrix suite.
%package -n %{klulib}
Version: %{kluver}
Release: 0
Summary: Sparse LU Factorization, for Circuit Simulation
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{klulib}
KLU is a sparse LU factorization algorithm well-suited for use in
circuit simulation. It was highlighted in the May 2007 issue of SIAM
News, Sparse Matrix Algorithm Drives SPICE Performance Gains. It is
the "fast sparse-matrix solver" mentioned in the article.
KLU is part of the SuiteSparse sparse matrix suite.
%package -n %{ldllib}
Version: %{ldlver}
Release: 0
Summary: A Simple LDL^T Factorization
License: LGPL-2.1+
Group: Development/Libraries/Parallel
%description -n %{ldllib}
LDL is a set of concise routines for factorizing symmetric positive-
definite sparse matrices, with some applicability to symmetric
indefinite matrices. Its primary purpose is to illustrate much of the
basic theory of sparse matrix algorithms in as concise a code as
possible, including an elegant new method of sparse symmetric
factorization that computes the factorization row-by-row but stores
it column-by-column. The entire symbolic and numeric factorization
consists of a total of only 49 lines of code. The package is written
in C, and includes a MATLAB interface.
LDL is part of the SuiteSparse sparse matrix suite.
%package -n %{rbiolib}
Version: %{rbiover}
Release: 0
Summary: MATLAB Toolbox for Reading/Writing Sparse Matrices
License: GPL-2.0+
Group: Development/Libraries/Parallel
%description -n %{rbiolib}
RBio is a MATLAB toolbox for reading/writing sparse matrices in the
Rutherford/Boeing format, and for reading/writing problems in the UF
Sparse Matrix Collection from/to a set of files in a directory.
Version 2.0+ is written in C.
RBio is part of the SuiteSparse sparse matrix suite.
%package -n %{spqrlib}
Version: %{spqrver}
Release: 0
Summary: Multifrontal Sparse QR
License: GPL-2.0+
Group: Development/Libraries/Parallel
%description -n %{spqrlib}
SuiteSparseQR is an implementation of the multifrontal sparse QR
factorization method. Parallelism is exploited both in the BLAS and
across different frontal matrices using Intel's Threading Building
Blocks, a shared-memory programming model for modern multicore
architectures. It can obtain a substantial fraction of the
theoretical peak performance of a multicore computer. The package is
written in C++ with user interfaces for MATLAB, C, and C++.
SuiteSparseQR is part of the SuiteSparse sparse matrix suite.
%package -n %{umfpacklib}
Version: %{umfpackver}
Release: 0
Summary: Sparse Multifrontal LU Factorization
License: GPL-2.0+
Group: Development/Libraries/Parallel
%description -n %{umfpacklib}
UMFPACK is a set of routines for solving unsymmetric sparse linear
systems, Ax=b, using the Unsymmetric MultiFrontal method. Written in
ANSI/ISO C, with a MATLAB (Version 6.0 and later) interface. Appears
as a built-in routine (for lu, backslash, and forward slash) in M
ATLAB. Includes a MATLAB interface, a C-callable interface, and a
Fortran-callable interface. Note that "UMFPACK" is pronounced in two
syllables, "Umph Pack". It is not "You Em Ef Pack".
UMFPACK is part of the SuiteSparse sparse matrix suite.
%package -n %{configlib}
Version: %{configver}
Release: 0
Summary: Common configurations for all packages in SuiteSparse
License: GPL-2.0+
Group: Development/Libraries/Parallel
Provides: libufconfig = %{configver}
Obsoletes: libufconfig < %{configver}
Provides: libUFconfig = %{configver}
Obsoletes: libUFconfig < %{configver}
%description -n %{configlib}
SuiteSparse_config is required by nearly all sparse matrix packages that I author or co-author. These include SuiteSparseQR, AMD, COLAMD, CCOLAMD, CHOLMOD, KLU, BTF, LDL, CXSparse, RBio, and UMFPACK. It is not required by CSparse, which is a stand-alone package. SuiteSparse_config (prior to version 4.0.0) was named UFconfig.
SuiteSparse_config contains a configuration file for "make" (SuiteSparse_config.mk) and an include file (SuiteSparse_config.h). Also included in SuiteSparse_config is a replacement for the BLAS/LAPACK xerbla routine that does not print a warning message (helpful if you don't want to link the entire Fortran I/O library into a C application).
SuiteSparse_config is part of the SuiteSparse sparse matrix suite.
%prep
%setup -q -n SuiteSparse
sed 's/^CHOLMOD_CONFIG =.*/CHOLMOD_CONFIG = -DNPARTITION/' -i SuiteSparse_config/SuiteSparse_config.mk
sed 's/^\(METIS =\).*//' -i SuiteSparse_config/SuiteSparse_config.mk
# bnc#751746
rm -rf MATLAB_Tools/Factorize/Doc/factorize_article.pdf
rm -rf SPQR/Doc/algo_spqr.pdf
rm -rf SPQR/Doc/spqr.pdf
# bnc#775418
%patch0 -p1
%patch775418 -p1
%build
for dir in AMD BTF CAMD CCOLAMD CHOLMOD COLAMD CSparse CXSparse KLU LDL RBio SPQR UMFPACK; do
pushd $dir
ver=$(grep -E "^VERSION =" Makefile | sed "s:VERSION = ::")
pushd Lib
make CFLAGS="%{optflags} -fPIC"
dir_l=$(echo "$dir" | tr "[A-Z]" "[a-z]")
gcc -shared -Wl,-soname -Wl,"lib${dir_l}-$ver.so" -o "lib${dir_l}-$ver.so" *.o -lm
ln -s "lib${dir_l}-$ver.so" "lib${dir_l}.so"
popd
popd
done
# specialities
# -- CHOLMOD
pushd CHOLMOD
cp Cholesky/License.txt Doc/Cholesky_License.txt
cp Core/License.txt Doc/Core_License.txt
cp MatrixOps/License.txt Doc/MatrixOps_License.txt
cp Partition/License.txt Doc/Partition_License.txt
cp Supernodal/License.txt Doc/Supernodal_License.txt
popd
#bnc775418 provides SuiteSparse_time symbol in SuiteSparse_config
pushd SuiteSparse_config
make CFLAGS="%{optflags} -fPIC"
gcc -shared -Wl,-soname -Wl,"libsuitesparseconfig-%{configver}.so" -o "libsuitesparseconfig-%{configver}.so" *.o -lm
ln -s "libsuitesparseconfig-%{version}.so" "libsuitesparseconfig.so"
popd
%install
mkdir -p %{buildroot}%{_includedir}/%{name}
mkdir -p %{buildroot}%{_libdir}
mkdir -p %{buildroot}%{_docdir}/%{name}
mkdir -p %{buildroot}%{_docdir}/%{name}-devel
cp -a SuiteSparse_config/SuiteSparse_config.h %{buildroot}%{_includedir}/%{name}
cp -a README.txt %{buildroot}%{_docdir}/%{name}
for dir in AMD BTF CAMD CCOLAMD CHOLMOD COLAMD CSparse CXSparse KLU LDL RBio SPQR UMFPACK; do
pushd $dir
ver=$(grep -E "^VERSION =" Makefile | sed "s:VERSION = ::")
cp -a Lib/*.a Lib/*.so* %{buildroot}/%{_libdir}
cp -a Include/*.h %{buildroot}%{_includedir}/%{name}
mkdir %{buildroot}%{_docdir}/%{name}/$dir-$ver
mkdir %{buildroot}%{_docdir}/%{name}-devel/$dir
cp -a README.txt Doc/{License,ChangeLog,*.txt} %{buildroot}%{_docdir}/%{name}/$dir-$ver > /dev/null 2>&1 | true
cp -a $dir/Doc/*.pdf %{buildroot}%{_docdir}/%{name}-devel/$dir > /dev/null 2>&1 | true
popd
done
cp -r SuiteSparse_config/*.so* SuiteSparse_config/*.a %{buildroot}%{_libdir}
mkdir %{buildroot}%{_docdir}/%{name}/SuiteSparse_config-%{configver}/
cp -r SuiteSparse_config/README.txt %{buildroot}%{_docdir}/%{name}/SuiteSparse_config-%{configver}/
%post -n %{amdlib} -p /sbin/ldconfig
%postun -n %{amdlib} -p /sbin/ldconfig
%post -n %{btflib} -p /sbin/ldconfig
%postun -n %{btflib} -p /sbin/ldconfig
%post -n %{camdlib} -p /sbin/ldconfig
%postun -n %{camdlib} -p /sbin/ldconfig
%post -n %{ccolamdlib} -p /sbin/ldconfig
%postun -n %{ccolamdlib} -p /sbin/ldconfig
%post -n %{cholmodlib} -p /sbin/ldconfig
%postun -n %{cholmodlib} -p /sbin/ldconfig
%post -n %{colamdlib} -p /sbin/ldconfig
%postun -n %{colamdlib} -p /sbin/ldconfig
%post -n %{csparselib} -p /sbin/ldconfig
%postun -n %{csparselib} -p /sbin/ldconfig
%post -n %{cxsparselib} -p /sbin/ldconfig
%postun -n %{cxsparselib} -p /sbin/ldconfig
%post -n %{klulib} -p /sbin/ldconfig
%postun -n %{klulib} -p /sbin/ldconfig
%post -n %{ldllib} -p /sbin/ldconfig
%postun -n %{ldllib} -p /sbin/ldconfig
%post -n %{rbiolib} -p /sbin/ldconfig
%postun -n %{rbiolib} -p /sbin/ldconfig
%post -n %{spqrlib} -p /sbin/ldconfig
%postun -n %{spqrlib} -p /sbin/ldconfig
%post -n %{umfpacklib} -p /sbin/ldconfig
%postun -n %{umfpacklib} -p /sbin/ldconfig
%post -n %{configlib} -p /sbin/ldconfig
%postun -n %{configlib} -p /sbin/ldconfig
%files devel
%defattr(-,root,root)
%{_includedir}/%{name}
%{_libdir}/lib*.so
%exclude %{_libdir}/lib*-*.so
%{_docdir}/%{name}-devel
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/README.txt
%files devel-static
%defattr(-,root,root)
%{_libdir}/lib*.a
%files -n %{amdlib}
%defattr(-, root, root)
%{_libdir}/libamd-%{amdver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/AMD-%{amdver}
%files -n %{btflib}
%defattr(-, root, root)
%{_libdir}/libbtf-%{btfver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/BTF-%{btfver}
%files -n %{camdlib}
%defattr(-, root, root)
%{_libdir}/libcamd-%{camdver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/CAMD-%{camdver}
%files -n %{ccolamdlib}
%defattr(-, root, root)
%{_libdir}/libccolamd-%{ccolamdver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/CCOLAMD-%{ccolamdver}
%files -n %{cholmodlib}
%defattr(-, root, root)
%{_libdir}/libcholmod-%{cholmodver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/CHOLMOD-%{cholmodver}
%files -n %{colamdlib}
%defattr(-, root, root)
%{_libdir}/libcolamd-%{colamdver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/COLAMD-%{colamdver}
%files -n %{csparselib}
%defattr(-, root, root)
%{_libdir}/libcsparse-%{csparsever}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/CSparse-%{csparsever}
%files -n %{cxsparselib}
%defattr(-, root, root)
%{_libdir}/libcxsparse-%{cxsparsever}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/CXSparse-%{cxsparsever}
%files -n %{klulib}
%defattr(-, root, root)
%{_libdir}/libklu-%{kluver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/KLU-%{kluver}
%files -n %{ldllib}
%defattr(-, root, root)
%{_libdir}/libldl-%{ldlver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/LDL-%{ldlver}
%files -n %{rbiolib}
%defattr(-, root, root)
%{_libdir}/librbio-%{rbiover}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/RBio-%{rbiover}
%files -n %{spqrlib}
%defattr(-, root, root)
%{_libdir}/libspqr-%{spqrver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/SPQR-%{spqrver}
%files -n %{umfpacklib}
%defattr(-, root, root)
%{_libdir}/libumfpack-%{umfpackver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/UMFPACK-%{umfpackver}
%files -n %{configlib}
%defattr(-,root,root)
%{_libdir}/libsuitesparseconfig-%{configver}.so
%dir %{_docdir}/%{name}
%{_docdir}/%{name}/SuiteSparse_config-%{configver}
%changelog
