Install this package:
emerge -a dev-python/cvxopt
If the package is masked, you can unmask it using the autounmask tool or standard emerge options:
autounmask dev-python/cvxopt
Or alternatively:
emerge --autounmask-write -a dev-python/cvxopt
| Version | EAPI | Keywords | Slot |
|---|---|---|---|
| 1.3.2 | 8 | amd64 ~riscv ~x86 | 0 |
<pkgmetadata> <maintainer type="project"> <email>sci-mathematics@gentoo.org</email> <name>Gentoo Mathematics Project</name> </maintainer> <maintainer type="project"> <email>python@gentoo.org</email> <name>Python</name> </maintainer> <longdescription lang="en"> CVXOPT is a software for convex optimization based on the Python programming language. Its main purpose is to make the development of software for convex optimization applications straightforward. </longdescription> <use> <flag name="dsdp">Use interior point library <pkg>sci-libs/dsdp</pkg></flag> <flag name="glpk">Use GNU Linear Programming Kit <pkg>sci-mathematics/glpk</pkg></flag> </use> <upstream> <remote-id type="github">cvxopt/cvxopt</remote-id> <remote-id type="pypi">cvxopt</remote-id> </upstream> </pkgmetadata>
Manage flags for this package:
euse -i <flag> -p dev-python/cvxopt |
euse -E <flag> -p dev-python/cvxopt |
euse -D <flag> -p dev-python/cvxopt
| Flag | Description | 1.3.2 |
|---|---|---|
| dsdp | Use interior point library <pkg>sci-libs/dsdp</pkg> | ⊕ |
| examples | Install examples, usually source code | ✓ |
| fftw | Use FFTW library for computing Fourier transforms | ✓ |
| glpk | Use GNU Linear Programming Kit <pkg>sci-mathematics/glpk</pkg> | ⊕ |
| gsl | Use the GNU scientific library for calculations | ✓ |
| Type | File | Size | Versions |
|---|---|---|---|
| DIST | cvxopt-1.3.2.gh.tar.gz | 4095027 bytes | 1.3.2 |
| Type | File | Size |
|---|