39 lines
1.4 KiB
ReStructuredText
39 lines
1.4 KiB
ReStructuredText
The ``py.test`` testing tool makes it easy to write small tests, yet
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scales to support complex functional testing. It provides
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- `auto-discovery
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<http://pytest.org/latest/goodpractises.html#python-test-discovery>`_
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of test modules and functions,
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- detailed info on failing `assert statements <http://pytest.org/latest/assert.html>`_ (no need to remember ``self.assert*`` names)
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- `modular fixtures <http://pytest.org/latest/fixture.html>`_ for
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managing small or parametrized long-lived test resources.
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- multi-paradigm support: you can use ``py.test`` to run test suites based
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on `unittest <http://pytest.org/latest/unittest.html>`_ (or trial),
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`nose <http://pytest.org/latest/nose.html>`_
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- single-source compatibility to Python2.4 all the way up to Python3.3,
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PyPy-1.9 and Jython-2.5.1.
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- many `external plugins <http://pytest.org/latest/plugins.html#installing-external-plugins-searching>`_.
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.. image:: https://secure.travis-ci.org/hpk42/pytest.png
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:target: http://travis-ci.org/hpk42/pytest
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A simple example for a test::
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# content of test_module.py
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def test_function():
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i = 4
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assert i == 3
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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.
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For much more info, including PDF docs, see
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http://pytest.org
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and report bugs at:
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http://bitbucket.org/hpk42/pytest/issues/
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Copyright Holger Krekel and others, 2004-2013
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