Comment by jgalt212

> The absolute simplest I can think of is just running your functionality on some randomly generated input and seeing that it doesn't crash unexpectedly.

For this use case, we've found it best to just use a fuzzer, and work off the tracebacks.

That being said, we have used hypothesis to test data validation and normalizing code to decent success. We use on a one-off basis, when starting something new or making a big change. We don't run these tests everyday.

Also, I don't like how hypothesis integrates much better with pytest than unittest.