|
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 |
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