Source: python-ddt
Section: python
Priority: optional
Maintainer: PKG OpenStack <openstack-devel@lists.alioth.debian.org>
Uploaders: Thomas Goirand <zigo@debian.org>,
Build-Depends: debhelper (>= 9),
               dh-python,
               openstack-pkg-tools,
               python-all,
               python-setuptools,
               python-sphinx,
               python3-all,
               python3-setuptools,
Build-Depends-Indep: pep8,
                     python-coverage,
                     python-nose,
                     python-six,
                     python-sphinxcontrib.programoutput,
                     python3-nose,
                     python3-six,
Standards-Version: 3.9.6
Vcs-Browser: http://anonscm.debian.org/gitweb/?p=openstack/python-ddt.git
Vcs-Git: git://anonscm.debian.org/openstack/python-ddt.git
Homepage: https://pypi.python.org/pypi/ddt

Package: python-ddt
Architecture: all
Depends: ${misc:Depends},
         ${python:Depends},
Description: Data-Driven/Decorated Tests - Python 2.x
 DDT (Data-Driven Tests) allows you to multiply one test case by running it
 with different test data, and make it appear as multiple test cases. DDT
 consists of a class decorator ddt (for your TestCase subclass) and two
 method decorators (for your tests that want to be multiplied).
 .
 This package contains the Python 2.x module.

Package: python3-ddt
Architecture: all
Depends: ${misc:Depends},
         ${python3:Depends},
Description: Data-Driven/Decorated Tests - Python 3.x
 DDT (Data-Driven Tests) allows you to multiply one test case by running it
 with different test data, and make it appear as multiple test cases. DDT
 consists of a class decorator ddt (for your TestCase subclass) and two
 method decorators (for your tests that want to be multiplied).
 .
 This package contains the Python 3.x module.

Package: python-ddt-doc
Architecture: all
Section: doc
Depends: ${misc:Depends},
         ${sphinxdoc:Depends},
Description: Data-Driven/Decorated Tests - doc
 DDT (Data-Driven Tests) allows you to multiply one test case by running it
 with different test data, and make it appear as multiple test cases. DDT
 consists of a class decorator ddt (for your TestCase subclass) and two
 method decorators (for your tests that want to be multiplied).
 .
 This package contains the documentation.
