Hello, As a followup to the prior thread on bugs in user defined types in numpy, I converted my rational number class from C++ to C and switched to 32 bits to remove the need for unportable 128 bit numbers. It should be usable as a fairly thorough test case for user defined types now. It does rather more than a minimal test case would need to do, but that isn't a problem unless you're concerned about code size. Let me know if any further changes are needed before it's suitable for inclusion in numpy as a test case. The repository is here:
https://github.com/girving/rational The tests run under either py.test or nose. For completeness, my branch fixing all but one of the bugs I found in numpy user defined types is here: https://github.com/girving/numpy/tree/fixuserloops The remaining bug is that numpy incorrectly releases the GIL during casts even though NPY_NEEDS_API is set. The resulting crash goes away if the line defining ACQUIRE_GIL is uncommented. With the necessary locks in place, all my tests pass with my branch of numpy. I haven't tracked this one down and fixed it yet, but it shouldn't be hard to do so. Geoffrey _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion