Parameterized tests for Python's unittest module
This was inspired by the parameterized tests feature in py.test. I had been using py.test for the particular test that motivated this, but my colleague had some reservations about using py.test and all I really needed was the parameterized tests so I whipped this up with a bit of metaclass hackery.
from parameterizedtestcase import ParameterizedTestCase
class MyTests(ParameterizedTestCase):
@ParameterizedTestCase.parameterize(
("input", "expected_output"),
[
("2+4", 6),
("3+5", 8),
("6*9", 54),
]
)
def test_eval(self, input, expected_output):
self.assertEqual(eval(input), expected_output)
Result of running this:
~/dev/git-repos/python_unittest_parameterized_test_case$ python -m unittest -v tests test_eval_input_2+4_expected_output_6 (tests.MyTests) ... ok test_eval_input_3+5_expected_output_8 (tests.MyTests) ... ok test_eval_input_6*9_expected_output_54 (tests.MyTests) ... ok ---------------------------------------------------------------------- Ran 3 tests in 0.001s OK
- Python 2.5
- Python 2.6
- Python 2.7
- Python 3.1
- Python 3.2
- Python 3.3
- PyPy 1.9
- Jython 2.5
or says tox:
~/dev/git-repos/python_unittest_parameterized_test_case$ tox ... py25: commands succeeded py26: commands succeeded py27: commands succeeded py31: commands succeeded py32: commands succeeded py33: commands succeeded jython: commands succeeded pypy: commands succeeded congratulations :)
You also can check the latest Travis CI results, but Travis doesn't build all of the above platforms.
Send your bug reports and feature requests to https://github.com/msabramo/python_unittest_parameterized_test_case/issues