The py.test` testing tool makes it easy to write small tests, yet scales to support complex functional testing. It provides

  • auto-discovery of test modules and functions,

  • detailed info on failing assert statements (no need to remember self.assert* names)

  • modular fixtures for managing small or parametrized long-lived test resources.

  • multi-paradigm support: you can use py.test to run test suites based on unittest (or trial), nose

  • single-source compatibility to Python2.4 all the way up to Python3.3, PyPy-1.9 and Jython-2.5.1.

  • many external plugins.

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 for more examples.

For much more info, including PDF docs, see

http://pytest.org

and report bugs at:

http://bitbucket.org/hpk42/pytest/issues/

  1. Holger Krekel and others, 2004-2012

Project links

Key dates

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  • Released:
Newer release available (9.1.1)

7 maintainers

PyPI data
Data sourced directly from PyPI's database.
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Credits

Author: Holger Krekel, Benjamin Peterson, Ronny Pfannschmidt, Floris Bruynooghe and others

License

MIT License (MIT license)

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