A library for property based testing
Hypothesis is an advanced testing library for Python. It lets you write tests which are parametrized by a source of examples, and then generates simple and comprehensible examples that make your tests fail. This lets you find more bugs in your code with less work.
@given(st.lists( st.floats(allow_nan=False, allow_infinity=False), min_size=1)) def test_mean(xs): assert min(xs) <= mean(xs) <= max(xs)
Falsifying example: test_mean( xs=[1.7976321109618856e+308, 6.102390043022755e+303] )
Hypothesis is extremely practical and advances the state of the art of unit testing by some way. It’s easy to use, stable, and powerful. If you’re not using Hypothesis to test your project then you’re missing out.
If you just want to get started:
pip install hypothesis
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|hypothesis-3.60.1-py2-none-any.whl (210.0 kB) Copy SHA256 hash SHA256||Wheel||py2||Jun 22, 2018|
|hypothesis-3.60.1-py3-none-any.whl (209.9 kB) Copy SHA256 hash SHA256||Wheel||py3||Jun 22, 2018|
|hypothesis-3.60.1.tar.gz (158.6 kB) Copy SHA256 hash SHA256||Source||None||Jun 20, 2018|