I think the pros outweigh the cons -- I'll comment briefly on the PR. On Mon, 9 Sep 2019 at 02:41, Matti Picus <matti.pi...@gmail.com> wrote:
> We have discussed using the hypothesis package to generate test cases at a > few meetings informally. At the EuroSciPy sprint, kitchoi took up the > challenge and issued a pull request > https://github.com/numpy/numpy/pull/14440 that actually goes ahead and > does it. While not finding any new failures, the round-trip testing of s = > np.array2string(np.array(s)) shows what hypothesis can do. The new test > runs for about 1/2 a second. In my mind the next step would be to use this > style of testing to expose problems in the np.chararray routines. > > > What do you think? Is the cost of adding a new dependency worth the more > thorough testing? > > Matti > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@python.org > https://mail.python.org/mailman/listinfo/numpy-discussion >
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