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Software Open Access

Hypothesis: Property-Based Testing for Python

MacIver, David R.; Hatfield-Dodds, Zac; many other contributors

This release allows for more precise generation of complex numbers using "from_dtype()", by supporting the "width", "min_magnitude", and "min_magnitude" arguments (issue #3468).

Thanks to Felix Divo for this feature!

The canonical version of these notes (with links) is on readthedocs.

If you use Hypothesis as part of a published research project, please cite our paper in the Journal of Open Source Software: Text: MacIver et al., (2019). Hypothesis: A new approach to property-based testing. Journal of Open Source Software, 4(43), 1891, https://doi.org/10.21105/joss.01891 BibTeX: @article{MacIver2019Hypothesis, journal = {Journal of Open Source Software}, doi = {10.21105/joss.01891}, issn = {2475-9066}, number = {43}, publisher = {The Open Journal}, title = {Hypothesis: A new approach to property-based testing}, url = {http://dx.doi.org/10.21105/joss.01891}, volume = {4}, author = {MacIver, David and Hatfield-Dodds, Zac and Contributors, Many}, pages = {1891}, date = {2019-11-21}, year = {2019}, month = {11}, day = {21}, } To reference a particular version of Hypothesis as a software artifact, you can use the version-specific DOIs we create for each release under https://doi.org/10.5281/zenodo.1412597
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