Source: cvxopt
Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders:
 Andreas Tille <tille@debian.org>,
Section: python
Testsuite: autopkgtest-pkg-python
Priority: optional
Build-Depends:
 debhelper-compat (= 13),
 dh-sequence-python3,
 dvipng,
 libblas-dev,
 libdsdp-dev,
 libfftw3-dev,
 libglpk-dev,
 libgsl-dev,
 liblapack-dev,
 pybuild-plugin-pyproject,
 python3-all-dev,
 python3-setuptools,
 python3-setuptools-scm,
Build-Depends-Indep:
 dh-sequence-sphinxdoc,
 latexmk,
 python3-sphinx,
 python3-sphinx-rtd-theme,
 tex-gyre,
 texlive-fonts-recommended,
 texlive-latex-base,
 texlive-latex-extra,
 texlive-latex-recommended,
Standards-Version: 4.7.2
Vcs-Browser: https://salsa.debian.org/science-team/cvxopt
Vcs-Git: https://salsa.debian.org/science-team/cvxopt.git
Homepage: https://cvxopt.org/

Package: python3-cvxopt
Architecture: any
Depends:
 ${misc:Depends},
 ${python3:Depends},
 ${shlibs:Depends},
Suggests:
 python-cvxopt-doc,
Provides:
 ${python:Provides},
Description: Python3 package for convex optimization
 CVXOPT is a Python package for convex optimization. It includes
  * Python classes for storing and manipulating dense and sparse matrices
  * an interface to most of the double-precision real and complex BLAS
  * an interface to the dense linear equation solvers and eigenvalue
    routines from LAPACK
  * interfaces to the sparse LU and Cholesky solvers from UMFPACK and
    CHOLMOD.
  * routines for solving convex optimization problems, an interface to
    the linear programming solver in GLPK, and interfaces to the
    linear and quadratic programming solvers in MOSEK
  * a modeling tool for specifying convex piecewise-linear
    optimization problems.
 .
 This package contains the Python 3 module.

Package: python-cvxopt-doc
Architecture: all
Section: doc
Depends:
 libjs-mathjax,
 ${misc:Depends},
 ${sphinxdoc:Depends},
Multi-Arch: foreign
Description: Python package for convex optimization (documentation)
 CVXOPT is a Python package for convex optimization. It includes
  * Python classes for storing and manipulating dense and sparse matrices
  * an interface to most of the double-precision real and complex BLAS
  * an interface to the dense linear equation solvers and eigenvalue
    routines from LAPACK
  * interfaces to the sparse LU and Cholesky solvers from UMFPACK and
    CHOLMOD.
  * routines for solving convex optimization problems, an interface to
    the linear programming solver in GLPK, and interfaces to the
    linear and quadratic programming solvers in MOSEK
  * a modeling tool for specifying convex piecewise-linear
    optimization problems.
 .
 This package contains the documentation of the Python module.
