Hi, I've just finished moving the scipy tests over to nose.
Thinking about it, it seems to me to be a good idea to do the same for numpy. The advantages of doing this now are that numpy and scipy would be in parallel, that we can continue to have one testing system for both, and that it would be clear to both numpy and scipy developers that they should not use NumpyTest but the nose test framework. At the moment, you can still find yourself using the numpy test framework in scipy, and the tests will work - but it should be deprecated. Ideally, to make a clean switch, I think using numpytest should raise an error. One issue is that the scipy nose test labels use decorators, for which the standard syntax requires python 2.4. To avoid this, we can just apply the decorators with the def test_func(): pass test_func = dec.slow(test_func) syntax. It's a rather moot point, as the decorators are mainly used to define test level, there's only one extra test found for numpy.test(10) compared to numpy.test(). I think I could do the port in quite a short time. Any thoughts? Matthew _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion