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##
## lapack.spec -- OpenPKG RPM Package Specification
## Copyright (c) 2000-2020 OpenPKG Project <http://openpkg.org/>
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##
## 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
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Distribution: OpenPKG Community
Class: EVAL
Group: Algorithm
License: Open Source
Version: 3.7.1
Release: 20170625
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# 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
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%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/
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regex = lapack-(__VER__)\.tgz
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}
%prep
%setup -q
%build
mkdir build
cd build
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cmake \
-DCMAKE_BUILD_TYPE="Release" \
-DCMAKE_INSTALL_PREFIX="%{l_prefix}" \
-DCMAKE_Fortran_COMPILER="gfortran" \
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-DCMAKE_Fortran_FLAGS="-fPIC" \
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-DBUILD_TESTING="off" \
..
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%{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
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%{l_shtool} install -c -m 644 \
build/lib/libblas.a $RPM_BUILD_ROOT%{l_prefix}/lib/liblapack_blas.a
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%{l_rpmtool} files -v -ofiles -r$RPM_BUILD_ROOT %{l_files_std}
%files -f files
%clean