## ## lapack.spec -- OpenPKG RPM Package Specification ## Copyright (c) 2000-2020 OpenPKG Project ## ## Permission to use, copy, modify, and distribute this software for ## any purpose with or without fee is hereby granted, provided that ## the above copyright notice and this permission notice appear in all ## copies. ## ## THIS SOFTWARE IS PROVIDED ``AS IS'' AND ANY EXPRESSED OR IMPLIED ## WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF ## MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. ## IN NO EVENT SHALL THE AUTHORS AND COPYRIGHT HOLDERS AND THEIR ## CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, ## SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT ## LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF ## USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ## ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, ## OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT ## OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF ## SUCH DAMAGE. ## # package information Name: lapack Summary: Linear Algebra PACKage (LAPACK) URL: http://www.netlib.org/lapack/ Vendor: Jack Dongarra et al. Packager: OpenPKG Project Distribution: OpenPKG Community Class: EVAL Group: Algorithm License: Open Source Version: 3.7.1 Release: 20170625 # list of sources Source0: http://www.netlib.org/lapack/lapack-%{version}.tgz # build information BuildPreReq: OpenPKG, openpkg >= 20160101, gcc, gcc::with_fortran = yes PreReq: OpenPKG, openpkg >= 20160101 %description LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems. The associated matrix factorizations (LU, Cholesky, QR, SVD, Schur, generalized Schur) are also provided, as are related computations such as reordering of the Schur factorizations and estimating condition numbers. Dense and banded matrices are handled, but not general sparse matrices. In all areas, similar functionality is provided for real and complex matrices, in both single and double precision. %track prog lapack = { version = %{version} url = http://www.netlib.org/lapack/ regex = lapack-(__VER__)\.tgz } %prep %setup -q %build mkdir build cd build cmake \ -DCMAKE_BUILD_TYPE="Release" \ -DCMAKE_INSTALL_PREFIX="%{l_prefix}" \ -DCMAKE_Fortran_COMPILER="gfortran" \ -DCMAKE_Fortran_FLAGS="-fPIC" \ -DBUILD_TESTING="off" \ .. %{l_make} %{l_mflags} %install %{l_shtool} mkdir -f -p -m 755 \ $RPM_BUILD_ROOT%{l_prefix}/lib %{l_shtool} install -c -m 644 \ build/lib/liblapack.a $RPM_BUILD_ROOT%{l_prefix}/lib/liblapack.a %{l_shtool} install -c -m 644 \ build/lib/libblas.a $RPM_BUILD_ROOT%{l_prefix}/lib/liblapack_blas.a %{l_rpmtool} files -v -ofiles -r$RPM_BUILD_ROOT %{l_files_std} %files -f files %clean