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Published January 14, 2023 | Version hypothesis-python-6.62.1
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Hypothesis: Property-Based Testing for Python

Authors/Creators

  • 1. Imperial College London
  • 2. Australian National University

Description

This patch tweaks "xps.arrays()" internals to improve PyTorch compatibility. Specifically, "torch.full()" does not accept integers as the shape argument (n.b. technically "size" in torch), but such behaviour is expected in internal code, so we copy the "torch" module and patch in a working "full()" function.

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Notes

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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HypothesisWorks/hypothesis-hypothesis-python-6.62.1.zip

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Is supplement to
https://github.com/HypothesisWorks/hypothesis/tree/hypothesis-python-6.62.1 (URL)