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pkgname='python-cvxcanon'
_module='CVXcanon'
pkgver='0.1.2'
pkgrel=1
pkgdesc="C++ library to convert high-level optimization problems into canonical form."
url="https://github.com/cvxgrp/CVXcanon"
depends=('python'
'python-numpy'
'python-scipy')
makedepends=('python-setuptools'
'swig'
'eigen')
license=('unknown')
arch=('x86_64')
source=("https://github.com/cvxgrp/CVXcanon/archive/v${pkgver}.tar.gz"
"use_system_eigen.patch")
sha256sums=('cf5a506258d9acadfec83529d175027bd9b7c821702c6f28b1eea7cbd61d842b'
'9bf618a0634bbe855ec67dd0e2b9c1f32528297a5316ec7b0b302932f4de544f')
prepare() {
cd "${srcdir}/${_module}-${pkgver}"
patch -p1 < ../../use_system_eigen.patch
rm -rf include
}
build() {
cd "${srcdir}/${_module}-${pkgver}"
python setup.py build
}
package() {
cd "${srcdir}/${_module}-${pkgver}"
python setup.py install --root="${pkgdir}" --optimize=1 --skip-build
}
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