Source: pyhamcrest
Section: python
Priority: optional
Maintainer: David Villa Alises <David.Villa@gmail.com>
Uploaders: Debian Python Modules Team <python-modules-team@lists.alioth.debian.org>
Build-Depends:
 debhelper (>= 7.0.50),
 dh-python,
 python-all (>= 2.6.6-3),
 python-setuptools (>= 0.6b3),
 python3-all,
 python3-setuptools
Standards-Version: 3.9.5
Homepage: http://code.google.com/p/hamcrest
Vcs-Git: https://salsa.debian.org/python-team/modules/pyhamcrest.git
Vcs-Browser: https://salsa.debian.org/python-team/modules/pyhamcrest

Package: python-hamcrest
Architecture: all
Depends: ${misc:Depends}, ${python:Depends}
Description: Hamcrest framework for matcher objects (Python 2)
 PyHamcrest is a framework for writing matcher objects, allowing you to
 declaratively define "match" rules. There are a number of situations where
 matchers are invaluable, such as UI validation, or data filtering, but it is in
 the area of writing flexible tests that matchers are most commonly used. This
 tutorial shows you how to use PyHamcrest for unit testing.
 .
 When writing tests it is sometimes difficult to get the balance right between
 overspecifying the test (and making it brittle to changes), and not specifying
 enough (making the test less valuable since it continues to pass even when the
 thing being tested is broken). Having a tool that allows you to pick out
 precisely the aspect under test and describe the values it should have, to a

Package: python3-hamcrest
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}
Description: Hamcrest framework for matcher objects (Python 3)
 PyHamcrest is a framework for writing matcher objects, allowing you to
 declaratively define "match" rules. There are a number of situations where
 matchers are invaluable, such as UI validation, or data filtering, but it is in
 the area of writing flexible tests that matchers are most commonly used. This
 tutorial shows you how to use PyHamcrest for unit testing.
 .
 When writing tests it is sometimes difficult to get the balance right between
 overspecifying the test (and making it brittle to changes), and not specifying
 enough (making the test less valuable since it continues to pass even when the
 thing being tested is broken). Having a tool that allows you to pick out
 precisely the aspect under test and describe the values it should have, to a