The ``py.test`` testing tool makes it easy to write small tests, yet
scales to support complex functional testing. It provides
- `auto-discovery
<http://pytest.org/latest/goodpractises.html#python-test-discovery>`_
of test modules and functions,
- detailed info on failing `assert statements <http://pytest.org/latest/assert.html>`_ (no need to remember ``self.assert*`` names)
- `modular fixtures <http://pytest.org/latest/fixture.html>`_ for
managing small or parametrized long-lived test resources.
- multi-paradigm support: you can use ``py.test`` to run test suites based
on `unittest <http://pytest.org/latest/unittest.html>`_ (or trial),
`nose <http://pytest.org/latest/nose.html>`_
- single-source compatibility to Python2.4 all the way up to Python3.3,
PyPy-1.9 and Jython-2.5.1.
- many `external plugins <http://pytest.org/latest/plugins.html#installing-external-plugins-searching>`_.
.. image:: https://secure.travis-ci.org/bubenkoff/pytest.png?branch=travis-integration
:target: http://travis-ci.org/bubenkoff/pytest
A simple example for a test::
# content of test_module.py
def test_function():
i = 4
assert i == 3
which can be run with ``py.test test_module.py``. See `getting-started <http://pytest.org/latest/getting-started.html#our-first-test-run>`_ for more examples.
For much more info, including PDF docs, see
http://pytest.org
and report bugs at:
http://bitbucket.org/hpk42/pytest/issues/
Copyright Holger Krekel and others, 2004-2012
a6f2af23fb