py.test: simple powerful testing with Python
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Meta
Author: Holger Krekel, Benjamin Peterson, Ronny Pfannschmidt, Floris Bruynooghe and others
Classifiers
Development Status
- 6 - Mature
Intended Audience
- Developers
License
- OSI Approved :: MIT License
Operating System
- POSIX
- Microsoft :: Windows
- MacOS :: MacOS X
Topic
- Software Development :: Testing
- Software Development :: Libraries
- Utilities
Programming Language
- Python :: 2
- Python :: 3
- Python :: 2.4
- Python :: 2.5
- Python :: 2.6
- Python :: 2.7
- Python :: 3.0
- Python :: 3.1
- Python :: 3.2
- Python :: 3.3
Changelog: http://pytest.org/latest/changelog.html
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
and report bugs at:
and checkout repos at:
http://github.com/hpk42/pytest/ (mirror) http://bitbucket.org/hpk42/pytest/
Copyright Holger Krekel and others, 2004-2013 Licensed under the MIT license.
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