gentoo-overlay/metadata/md5-cache/dev-python/cvxopt-1.1.6

DEFINED_PHASES=compile configure install prepare test
DEPEND=virtual/blas virtual/cblas virtual/lapack sci-libs/cholmod sci-libs/umfpack dsdp? ( sci-libs/dsdp ) fftw? ( sci-libs/fftw:3.0 ) glpk? ( sci-mathematics/glpk:= ) gsl? ( sci-libs/gsl ) virtual/pkgconfig doc? ( dev-python/sphinx ) userland_GNU? ( >=sys-apps/coreutils-8.5 ) python_targets_python2_6? ( >=dev-lang/python-2.6.8-r3:2.6 ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) python_targets_python3_2? ( >=dev-lang/python-3.2.5-r2:3.2 ) python_targets_python3_3? ( >=dev-lang/python-3.3.2-r2:3.3 ) dev-lang/python-exec:=[python_targets_python2_6(-)?,python_targets_python2_7(-)?,python_targets_python3_2(-)?,python_targets_python3_3(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-),-python_single_target_python3_2(-),-python_single_target_python3_3(-)]
DESCRIPTION=Python package for convex optimization
EAPI=5
HOMEPAGE=http://cvxopt.org/
IUSE=doc +dsdp examples fftw +glpk gsl python_targets_python2_6 python_targets_python2_7 python_targets_python3_2 python_targets_python3_3
KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=GPL-3
RDEPEND=virtual/blas virtual/cblas virtual/lapack sci-libs/cholmod sci-libs/umfpack dsdp? ( sci-libs/dsdp ) fftw? ( sci-libs/fftw:3.0 ) glpk? ( sci-mathematics/glpk:= ) gsl? ( sci-libs/gsl ) python_targets_python2_6? ( >=dev-lang/python-2.6.8-r3:2.6 ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) python_targets_python3_2? ( >=dev-lang/python-3.2.5-r2:3.2 ) python_targets_python3_3? ( >=dev-lang/python-3.3.2-r2:3.3 ) dev-lang/python-exec:=[python_targets_python2_6(-)?,python_targets_python2_7(-)?,python_targets_python3_2(-)?,python_targets_python3_3(-)?,-python_single_target_python2_6(-),-python_single_target_python2_7(-),-python_single_target_python3_2(-),-python_single_target_python3_3(-)]
REQUIRED_USE=|| ( python_targets_python2_6 python_targets_python2_7 python_targets_python3_2 python_targets_python3_3 )
SLOT=0
SRC_URI=https://github.com/cvxopt/cvxopt/archive/1.1.6.tar.gz -> cvxopt-1.1.6.tar.gz
_eclasses_=distutils-r1	364122897f9dc771167ee5ff362e54e1	eutils	40081e8c7e7f7c4f9db349a1d6d52925	multibuild	56d4120419072116417e8de1bd1040ff	multilib	fac675dcccf94392371a6abee62d909f	multiprocessing	c2d96fb38f2596209e98fceda58ba1ed	python-r1	3bb814ab7959a36067101a6bef683b6f	python-utils-r1	ceb3e4c3ba203e28bb02eeb182d88acf	toolchain-funcs	48b38a216afb92db6314d6c3187abea3
_md5_=a5bb96303d506220bf96f68ef4f4eb7a