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