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gentoo-overlay/metadata/md5-cache/sci-libs/ceres-solver-1.14.0

17 lines
2.6 KiB

BDEPEND=|| ( dev-lang/python:3.9 dev-lang/python:3.8 ) >=dev-cpp/eigen-3.3.4:3 doc? ( || ( ( dev-lang/python:3.9 dev-python/sphinx[python_targets_python3_9(-),-python_single_target_python3_9(-)] dev-python/sphinx_rtd_theme[python_targets_python3_9(-),-python_single_target_python3_9(-)] ) ( dev-lang/python:3.8 dev-python/sphinx[python_targets_python3_8(-),-python_single_target_python3_8(-)] dev-python/sphinx_rtd_theme[python_targets_python3_8(-),-python_single_target_python3_8(-)] ) ) ) lapack? ( virtual/pkgconfig ) dev-util/ninja dev-util/cmake
DEFINED_PHASES=compile configure install prepare pretend setup test
DEPEND=dev-cpp/glog[gflags?,abi_x86_32(-)?,abi_x86_64(-)?,abi_x86_x32(-)?,abi_mips_n32(-)?,abi_mips_n64(-)?,abi_mips_o32(-)?,abi_s390_32(-)?,abi_s390_64(-)?] cxsparse? ( sci-libs/cxsparse ) lapack? ( virtual/lapack ) sparse? ( sci-libs/amd sci-libs/camd sci-libs/ccolamd sci-libs/cholmod[metis(+)] sci-libs/colamd sci-libs/spqr )
DESCRIPTION=Nonlinear least-squares minimizer
EAPI=7
HOMEPAGE=http://ceres-solver.org/
IUSE=cxsparse doc examples gflags lapack openmp +schur sparse test abi_x86_32 abi_x86_64 abi_x86_x32 abi_mips_n32 abi_mips_n64 abi_mips_o32 abi_s390_32 abi_s390_64
KEYWORDS=amd64 ~x86 ~amd64-linux ~x86-linux
LICENSE=sparse? ( BSD ) !sparse? ( LGPL-2.1 ) cxsparse? ( BSD )
RDEPEND=dev-cpp/glog[gflags?,abi_x86_32(-)?,abi_x86_64(-)?,abi_x86_x32(-)?,abi_mips_n32(-)?,abi_mips_n64(-)?,abi_mips_o32(-)?,abi_s390_32(-)?,abi_s390_64(-)?] cxsparse? ( sci-libs/cxsparse ) lapack? ( virtual/lapack ) sparse? ( sci-libs/amd sci-libs/camd sci-libs/ccolamd sci-libs/cholmod[metis(+)] sci-libs/colamd sci-libs/spqr )
REQUIRED_USE=test? ( gflags ) sparse? ( lapack ) abi_x86_32? ( !sparse !lapack )
RESTRICT=!test? ( test )
SLOT=0/1
SRC_URI=http://ceres-solver.org/ceres-solver-1.14.0.tar.gz
_eclasses_=cmake 518e4c9a6a38dfd7afc54b6a7c5de3da cmake-multilib ec7d503d01bc4e2f2692f8bf90a64e41 edos2unix 33e347e171066657f91f8b0c72ec8773 eutils 2d5b3f4b315094768576b6799e4f926e flag-o-matic bc2e7662a4a9a8643be851982a837ddc l10n 8cdd85e169b835d518bc2fd59f780d8e multibuild 6b3d5ee849dafe6cdfd7b859c211fb01 multilib ebdbaed22e873a5abe6205f41349b479 multilib-build c311a933538fe97b72600926696ea66f multilib-minimal 12533389e8f5cc25f70ffcddbc9b3d29 multiprocessing cac3169468f893670dac3e7cb940e045 ninja-utils 132cbb376048d079b5a012f5467c4e7f python-any-r1 17241a11501065ff3651350040875aa9 python-utils-r1 6e84b7d3d8d0bb1ee12774f4a66909e2 toolchain-funcs 24921b57d6561d87cbef4916a296ada4 wrapper 4251d4c84c25f59094fd557e0063a974 xdg-utils ff2ff954e6b17929574eee4efc5152ba
_md5_=5224a4ef6e6717e09c54567fad81b19c