Hi folks, I had thought that maybe a numpy.long dtype was a system (compiler)-native C long.
But on both 32 and 64 bit python on OS-X, it seems to be 64 bit. I'm pretty sure that on OS-X 32 bit, a C long is 32 bits. (gdd, of course) I don't have other machines to test on , but as the MS compilers and gcc do different things with a C long on 64 bit platforms, I"m curious how numpy defines it. In general, I prefer the "explicit is better than implicit" approach and use, e.g. int32 and int64. However, in this case, we are using Cython, and calling C code that used "long" -- so what I want is "whatever the compiler thinks is a long" -- is there a way to do that without my own kludgy platform-dependent code? I note that the Cython numpy.pxd assigns: ctypedef signed long npy_long Is that a bug? (or maybe npy_long is not supposed to match np.long.... -Chris -- Christopher Barker, Ph.D. Oceanographer Emergency Response Division NOAA/NOS/OR&R (206) 526-6959 voice 7600 Sand Point Way NE (206) 526-6329 fax Seattle, WA 98115 (206) 526-6317 main reception chris.bar...@noaa.gov _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
