Source: minieigen
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
XSBC-Original-Maintainer: Debian Science Maintainers <debian-science-maintainers@lists.alioth.debian.org>
Uploaders: Václav Šmilauer <eu@doxos.eu>,
           Anton Gladky <gladk@debian.org>
Section: libs
Testsuite: autopkgtest
Priority: optional
Build-Depends: debhelper (>= 9),
               libboost-python-dev,
               libdouble-conversion-dev,
               libeigen3-dev,
               python-dev,
               python-sphinx (>= 1.0.7+dfsg),
               python3-all,
               python3-all-dev,
               python3-setuptools
Standards-Version: 3.9.8
Vcs-Browser: https://anonscm.debian.org/git/debian-science/packages/minieigen.git
Vcs-Git: https://anonscm.debian.org/git/debian-science/packages/minieigen.git
Homepage: http://www.launchpad.net/minieigen
X-Python-Version: >= 2.7
X-Python3-Version: >= 3.2

Package: python-minieigen
Architecture: any
Section: python
Depends: ${misc:Depends},
         ${python:Depends},
         ${shlibs:Depends},
         ${sphinxdoc:Depends}
Recommends: libeigen3-dev
Description: Wrapper of parts of the Eigen library (Python 2)
 Small wrapper for core parts of Eigen, c++ library for linear algebra.
 It is mainly useful for inspecting c++ code which already uses eigen and
 boost::python. Supported types are Vectors (2,3,6 and dynamic-sized with
 integer and floating-point values), Matrices (3x3, 6x6 and dynamic-sized
 with floating-point values) and Quaternions. Numerous methods are wrapped
 and the original API of Eigen is followed.
 .
 This is the Python 2 version of the package.

Package: python3-minieigen
Architecture: any
Section: python
Depends: ${misc:Depends},
         ${python3:Depends},
         ${shlibs:Depends},
         ${sphinxdoc:Depends}
Recommends: libeigen3-dev
Description: Wrapper of parts of the Eigen library (Python 3)
 Small wrapper for core parts of Eigen, c++ library for linear algebra.
 It is mainly useful for inspecting c++ code which already uses eigen and
 boost::python. Supported types are Vectors (2,3,6 and dynamic-sized with
 integer and floating-point values), Matrices (3x3, 6x6 and dynamic-sized
 with floating-point values) and Quaternions. Numerous methods are wrapped
 and the original API of Eigen is followed.
 .
 This is the Python 3 version of the package.
