I think again this is an instance of the tests being incorrect, rather than the code. The failing numpy_tests are all cases where we instantiate a buffer of type 'b' (== 'signed char') but then try to use it as if it was a 'char'.
The fix, of course is to just replace most instances of 'char' with 'signed char' in numpy_test.pyx: https://github.com/bfroehle/cython/compare/char-buffers In some sense NumPy does have a notion of 'char', namely a 1 character string. The only worry here, of course, is whether this change will painfully break existing code⦠-Brad > Actually, this fix breaks numpy_test, and I'm not sure how to fix it > given that numpy has no notion of a "possibly signed char" (unless we > disallow using char/char* with numpy altogether, which is much more > extreme, or don't enforce that signs match for char, which is likely > more invasive). Ugh. > >
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