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| author |   Repository mirror & CI <repomirrorci@gentoo.org> | 2024-05-29 12:04:07 +0000 |
|---|---|---|
| committer | Repository mirror & CI <repomirrorci@gentoo.org> | 2024-05-29 12:04:07 +0000 |
| commit | 85c01fa2399d505afab5b16dd9c5f6abbdbcdd41 (patch) | |
| tree | a6763a267282dd206f9def1a4073313c08577e94 /metadata/md5-cache/sci-libs/ceres-solver-2.2.0-r1 | |
| parent | Merge updates from master (diff) | |
| download | gentoo-85c01fa2399d505afab5b16dd9c5f6abbdbcdd41.tar.gz gentoo-85c01fa2399d505afab5b16dd9c5f6abbdbcdd41.tar.bz2 gentoo-85c01fa2399d505afab5b16dd9c5f6abbdbcdd41.zip | |
2024-05-29 12:04:05 UTC
Diffstat (limited to 'metadata/md5-cache/sci-libs/ceres-solver-2.2.0-r1')
| -rw-r--r-- | metadata/md5-cache/sci-libs/ceres-solver-2.2.0-r1 | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/metadata/md5-cache/sci-libs/ceres-solver-2.2.0-r1 b/metadata/md5-cache/sci-libs/ceres-solver-2.2.0-r1 index 21088baf5eb3..47ceef5595b4 100644 --- a/metadata/md5-cache/sci-libs/ceres-solver-2.2.0-r1 +++ b/metadata/md5-cache/sci-libs/ceres-solver-2.2.0-r1 @@ -6,7 +6,7 @@ EAPI=8 HOMEPAGE=http://ceres-solver.org/ INHERIT=cmake-multilib cuda flag-o-matic python-any-r1 docs IUSE=examples cuda gflags lapack +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 doc -KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-linux +KEYWORDS=amd64 ~x86 ~amd64-linux ~x86-linux LICENSE=sparse? ( BSD ) !sparse? ( LGPL-2.1 ) 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(-)?] cuda? ( dev-util/nvidia-cuda-toolkit:= ) 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 ) @@ -14,4 +14,4 @@ RESTRICT=!test? ( test ) SLOT=0/1 SRC_URI=http://ceres-solver.org/ceres-solver-2.2.0.tar.gz _eclasses_=toolchain-funcs e56c7649b804f051623c8bc1a1c44084 multilib c19072c3cd7ac5cb21de013f7e9832e0 flag-o-matic d309b9713dfc18e754cba88d3ba69653 multiprocessing 30ead54fa2e2b5f9cd4e612ffc34d0fe ninja-utils 2df4e452cea39a9ec8fb543ce059f8d6 xdg-utils baea6080dd821f5562d715887954c9d3 cmake c7c9a62d6232cac66d4ea32d575c3e7c out-of-source-utils 1a9007554652a6e627edbccb3c25a439 multibuild d67e78a235f541871c7dfe4cf7931489 multilib-build e8aed98bd43dbd25694310a660ad562c multilib-minimal 4b0f1857965db8869a729948d5277e0b cmake-multilib 37d23064f303dcf23453353ab8c77059 cuda 283d0f298f6c196c755a0f8d50daca85 python-utils-r1 8b220bbce5c119fb1d4d5c2f5588f3ea python-any-r1 f5169813d1619761b459800587005fd2 docs 7f3c0d47338743498c69f1887a139f57 -_md5_=fea16ebfe8444840dfc34887ade8096e +_md5_=f3d21a2e19fe7d6a82675d962c823a67 |