Dear Terri In addition I can recommend the following resource:
pythontesting.net has a podcast series on testing and more, check out the new book on pytest by the site maintainer Brian Okken Regards Olav Olav > 14 juli 2017 kl. 21:36 skrev Ashwin Srinath <[email protected]>: > > If you're using Python, numpy.testing has the tools you'll need: > > https://docs.scipy.org/doc/numpy/reference/routines.testing.html > > There's also pandas.testing for testing code that uses Pandas. > > Thanks, > Ashwin > >> On Fri, Jul 14, 2017 at 3:27 PM, Terri Yu <[email protected]> wrote: >> Hi everyone, >> >> Are there any resources that explain how to write unit tests for scientific >> software? I'm writing some software that processes audio signals and there >> are many parameters. I'm wondering what's the best way to test floating >> point numeric results. >> >> Do I need to test every single parameter? How can I verify accuracy of >> numeric results... use a different language / library? I would like to do a >> good job of testing, but I also don't want to write a bunch of semi-useless >> tests that take a long time to run. >> >> I would appreciate any thoughts you have. >> >> Thank you, >> >> Terri >> >> _______________________________________________ >> Discuss mailing list >> [email protected] >> http://lists.software-carpentry.org/listinfo/discuss > _______________________________________________ > Discuss mailing list > [email protected] > http://lists.software-carpentry.org/listinfo/discuss _______________________________________________ Discuss mailing list [email protected] http://lists.software-carpentry.org/listinfo/discuss
