DEFINED_PHASES=compile configure install prepare test
DEPEND=virtual/blas virtual/lapack sci-libs/amd:0= sci-libs/cholmod:0= sci-libs/colamd:0= sci-libs/suitesparseconfig:0= sci-libs/umfpack:0= dsdp? ( sci-libs/dsdp:0= ) fftw? ( sci-libs/fftw:3.0= ) glpk? ( >=sci-mathematics/glpk-4.49:0= ) gsl? ( sci-libs/gsl:0= ) virtual/pkgconfig doc? ( dev-python/sphinx ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) python_targets_python3_4? ( dev-lang/python:3.4 ) python_targets_python3_5? ( dev-lang/python:3.5 ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),-python_single_target_python3_6(-)]
DESCRIPTION=Python package for convex optimization
EAPI=6
HOMEPAGE=http://cvxopt.org/
IUSE=doc +dsdp examples fftw +glpk gsl python_targets_python2_7 python_targets_python3_4 python_targets_python3_5 python_targets_python3_6
KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=GPL-3
RDEPEND=virtual/blas virtual/lapack sci-libs/amd:0= sci-libs/cholmod:0= sci-libs/colamd:0= sci-libs/suitesparseconfig:0= sci-libs/umfpack:0= dsdp? ( sci-libs/dsdp:0= ) fftw? ( sci-libs/fftw:3.0= ) glpk? ( >=sci-mathematics/glpk-4.49:0= ) gsl? ( sci-libs/gsl:0= ) python_targets_python2_7? ( >=dev-lang/python-2.7.5-r2:2.7 ) python_targets_python3_4? ( dev-lang/python:3.4 ) python_targets_python3_5? ( dev-lang/python:3.5 ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_4(-)?,python_targets_python3_5(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_4(-),-python_single_target_python3_5(-),-python_single_target_python3_6(-)]
REQUIRED_USE=|| ( python_targets_python2_7 python_targets_python3_4 python_targets_python3_5 python_targets_python3_6 )
SLOT=0
SRC_URI=https://github.com/cvxopt/cvxopt/archive/1.1.9.tar.gz -> cvxopt-1.1.9.tar.gz
_eclasses_=distutils-r1	63fea93ca1cc4fdc5fa2247afc4e3a15	multibuild	35719a9cd25ec71ee49c966f6868454c	multilib	97f470f374f2e94ccab04a2fb21d811e	multiprocessing	cac3169468f893670dac3e7cb940e045	python-r1	0b5829eb6369d7af3a834b6eed7b7107	python-utils-r1	7db901256449fef43c3aaa4d486c1c63	toolchain-funcs	1e35303c63cd707f6c3422b4493d5607	xdg-utils	f2c8335407f0b935b0a96d4adf23ef25
_md5_=5d29d302e26de70a73c1873e5ba3e4fd