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File suitesparse.spec of Package suitesparse
# # spec file for package suitesparse # # Copyright (c) 2017 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/ # Name: suitesparse Summary: A collection of sparse matrix libraries License: GPL-2.0+ and LGPL-2.1+ Group: Development/Libraries/C and C++ Version: 4.5.5 Release: 0 Url: http://faculty.cse.tamu.edu/davis/SuiteSparse/ Source: http://faculty.cse.tamu.edu/davis/SuiteSparse/SuiteSparse-%{version}.tar.gz Source2: %{name}-rpmlintrc Patch775418: bnc775418-enable-SuiteSparse_time-symbol.patch BuildRoot: %{_tmppath}/%{name}-%{version}-build BuildRequires: gcc-c++ BuildRequires: gcc-fortran BuildRequires: lapack-devel BuildRequires: metis-devel BuildRequires: openblas-devel BuildRequires: openmpi-devel %define amdver 2.4.6 %define amdso 2_4_6 %define btfver 1.2.6 %define btfso 1_2_6 %define camdver 2.4.6 %define camdso 2_4_6 %define ccolamdver 2.9.6 %define ccolamdso 2_9_6 %define colamdver 2.9.6 %define colamdso 2_9_6 %define cholmodver 3.0.11 %define cholmodso 3_0_11 %define csparsever 3.1.9 %define csparseso 3_1_9 %define cxsparsever 3.1.9 %define cxsparseso 3_1_9 %define kluver 1.3.8 %define kluso 1_3_8 %define ldlver 2.2.6 %define ldlso 2_2_6 %define rbiover 2.2.6 %define rbioso 2_2_6 %define spqrver 2.0.8 %define spqrso 2_0_8 %define umfpackver 5.7.6 %define umfpackso 5_7_6 # 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 4.5.5 %define configso 4_5_5 %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 libcsparse-%{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/C and C++ 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} Requires: metis-devel Requires: openblas-devel Requires: openmpi-devel # 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. %package devel-static Summary: Static version of SuiteSparse libraries License: GPL-2.0+ and LGPL-2.1+ Group: Development/Libraries/C and C++ 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: System/Libraries %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: System/Libraries %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: System/Libraries %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: System/Libraries %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 #bnc746867 cholmod from suitesparse should be GPL-2.0 and/or LGPL-2.0 licensed License: GPL-2.0 and LGPL-2.1 Group: System/Libraries %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: System/Libraries %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: System/Libraries # AT version 3.1.9, this package was accidentally called libcsparsever-3_1_9 %if "%{csparsever}" == "3.1.9" Obsoletes: libcsparsever-3_1_9 = 3.1.9 %endif %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: System/Libraries %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: System/Libraries %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: System/Libraries %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: System/Libraries %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: System/Libraries %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: System/Libraries %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: System/Libraries Provides: libufconfig = %{configver} Obsoletes: libufconfig < %{configver} Provides: libUFconfig = %{configver} Obsoletes: libUFconfig < %{configver} %description -n %{configlib} SuiteSparse_config is required by a number of sparse matrix packages, including 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 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 # 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 %patch775418 -p1 %build mkdir -p Lib #bnc775418 provides SuiteSparse_time symbol in SuiteSparse_config pushd SuiteSparse_config make CFLAGS="%{optflags} -fPIC" pushd ../Lib gcc -shared -Wl,-soname -Wl,"libsuitesparseconfig-%{configver}.so" -o "libsuitesparseconfig-%{configver}.so" ../SuiteSparse_config/*.o -lm ln -s "libsuitesparseconfig-%{version}.so" "libsuitesparseconfig.so" popd popd # libraries linking config [bnc#883683] amd_libs="libsuitesparseconfig.so" camd_libs="libsuitesparseconfig.so" ccolamd_libs="libsuitesparseconfig.so" cholmod_libs="libamd.so libcamd.so libcolamd.so libccolamd.so libsuitesparseconfig.so -lopenblas -llapack -lmetis" colamd_libs="libsuitesparseconfig.so" klu_libs="libamd.so libbtf.so libcolamd.so" rbio_libs="libsuitesparseconfig.so" spqr_libs="libcholmod.so libsuitesparseconfig.so -lopenblas -llapack -lmetis" umfpack_libs="libamd.so libcholmod.so libsuitesparseconfig.so -lopenblas -llapack -lmetis" for dir in AMD BTF CAMD CCOLAMD COLAMD CHOLMOD CSparse CXSparse KLU LDL RBio SPQR UMFPACK; do pushd $dir ver=$(grep -E "^VERSION =" Lib/Makefile | sed "s:VERSION = ::") if [[ -z $ver ]] ; then major=$(grep -oP "^\#define \w+_VER \d+" Include/*.h | sed -E "s:\#define [A-Z]+_VER ::") minor=$(grep -oP "^\#define \w+_SUBVER \d+" Include/*.h | sed -E "s:\#define [A-Z]+_SUBVER ::") patchlev=$(grep -oP "^\#define \w+_SUBSUB \d+" Include/*.h | sed -E "s:\#define [A-Z]+_SUBSUB ::") ver="$major.$minor.$patchlev" fi make CFLAGS="%{optflags} -fPIC" popd pushd Lib dir_l=$(echo "$dir" | tr "[A-Z]" "[a-z]") linked_libs=${dir_l}_libs gcc -shared -Wl,-soname -Wl,"lib${dir_l}-$ver.so" -o "lib${dir_l}-$ver.so" ../${dir}/Lib/*.o ${!linked_libs} -lm ln -s "lib${dir_l}-$ver.so" "lib${dir_l}.so" popd done # specialities # -- CHOLMOD pushd CHOLMOD cp Cholesky/lesser.txt Doc/Cholesky_License.txt cp Core/lesser.txt Doc/Core_License.txt cp MatrixOps/gpl.txt Doc/MatrixOps_License.txt cp Partition/lesser.txt Doc/Partition_License.txt cp Supernodal/gpl.txt Doc/Supernodal_License.txt 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} cp -a Lib/*.so* %{buildroot}/%{_libdir} for dir in AMD BTF CAMD CCOLAMD CHOLMOD COLAMD CSparse CXSparse KLU LDL RBio SPQR UMFPACK; do pushd $dir ver=$(grep -E "^VERSION =" Lib/Makefile | sed "s:VERSION = ::") if [[ -z $ver ]] ; then major=$(grep -oP "^\#define \w+_VER \d+" Include/*.h | sed -E "s:\#define [A-Z]+_VER ::") minor=$(grep -oP "^\#define \w+_SUBVER \d+" Include/*.h | sed -E "s:\#define [A-Z]+_SUBVER ::") patchlev=$(grep -oP "^\#define \w+_SUBSUB \d+" Include/*.h | sed -E "s:\#define [A-Z]+_SUBSUB ::") ver="$major.$minor.$patchlev" fi cp -a Lib/*.a %{buildroot}/%{_libdir} cp -a Include/*\.h %{buildroot}%{_includedir}/%{name} if ls Include/*\.hpp 1> /dev/null 2>&1; then cp -a Include/*\.hpp %{buildroot}%{_includedir}/%{name} fi mkdir %{buildroot}%{_docdir}/%{name}/$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/*.a %{buildroot}%{_libdir} mkdir %{buildroot}%{_docdir}/%{name}/SuiteSparse_config-%{configver}/ cp -r SuiteSparse_config/README.txt %{buildroot}%{_docdir}/%{name}/SuiteSparse_config-%{configver}/ %check amd_test_symbol="amd_postorder" btf_test_symbol="btf_order" camd_test_symbol="camd_postorder" ccolamd_test_symbol="ccolamd" colamd_test_symbol="colamd" cholmod_test_symbol="cholmod_start" csparse_test_symbol="cs_sqr" cxsparse_test_symbol="cs_di_sqr" klu_test_symbol="klu_solve" ldl_test_symbol="ldl_symbolic" rbio_test_symbol="RBread" spqr_test_symbol="SuiteSparseQR_C_symbolic" umfpack_test_symbol="umfpack_toc" mkdir -p linking_test pushd linking_test cat > linking_test.c.in << 'EOF' char @test_symbol@ (); int main () { return @test_symbol@ (); } EOF export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:%{buildroot}%{_libdir} for test_library in amd btf camd ccolamd colamd cholmod csparse cxsparse klu ldl rbio spqr umfpack; do cp linking_test.c.in linking_test.c test_symbol=${test_library}_test_symbol sed -i "s|@test_symbol@|${!test_symbol}|" linking_test.c gcc -o linking_test linking_test.c -L%{buildroot}%{_libdir} -l${test_library} done popd %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
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