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Currently, there is no strategy that meets this criteria so the result is always an empty set, making the test a comparison of two empty sets.
Was thinking of creating a hypothesis decorator to return a list of classifiers to be given to this test so that it would not always be empty. The decorator could look like this:
Using hypothesis to explore the space of all possible classifiers sounds good to me 👍
One immediate question that comes to mind is whether or not we need a new hypothesis decorator for this as I don't see much potential for reuse but that might not be a good reason anyway and this can be discussed on the PR :)
In the test_boolean_filtering() method, the filterset built for testing has all its classifier values set to true
Currently, there is no strategy that meets this criteria so the result is always an empty set, making the test a comparison of two empty sets.
Was thinking of creating a hypothesis decorator to return a list of classifiers to be given to this test so that it would not always be empty. The decorator could look like this:
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