Unit-testing for a collection of jupyter notebooks.
testipynb relies on nbconvert to run the notebooks and catches errors so that they are output (with syntax highlighting!) when unit-tests are run.
- If you want to share your notebooks and be confident that they _should_ work on someone else’s machine
- If you are using notebooks to generate figures in a publication and want to ensure they are reproducible (powerful when connected with cron jobs on travis-ci)
pip install testipynb
import testipynb NBDIR = '../notebooks' Test = testipynb.TestNotebooks(directory=NBDIR) Test.assertTrue(Test.run_tests())
or in a unit-test file:
import testipynb import unittest NBDIR = '../notebooks' Test = testipynb.TestNotebooks(directory=NBDIR, timeout=2100) TestNotebooks = Test.get_tests() if __name__ == "__main__": unittest.main()
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