Hi, On Fri, Mar 16, 2012 at 5:36 AM, <josef.p...@gmail.com> wrote: > On Fri, Mar 16, 2012 at 2:10 AM, Ilan Schnell <ischn...@enthought.com> wrote: >> I just did a quick test across all supported EPD platforms: >> win-64: float96 No, float128 No >> win-32: float96 No, float128 No >> osx-64: float96 No, float128 Yes >> osx-32: float96 No, float128 Yes >> rh3-64: float96 No, float128 Yes >> rh3-32: float96 Yes, float128 No >> rh5-64: float96 No, float128 Yes >> rh5-32: float96 Yes, float128 No >> sol-64: float96 No, float128 Yes >> sol-32: float96 Yes, float128 No > > > numpy 1.5.1 MingW, on python 2.6 win32 has float96, float128 no > numpy 1.6.1 Gohlke (MKL I think) on python 3.2 win64 no float96, no float128 > > Josef > >> >> I have no explanation for this, but I'm guessing David C. has. >> I'll look more into this tomorrow. >> >> - Ilan
Oh dear - I completely forgot the previous thread that I started on this : http://mail.scipy.org/pipermail/numpy-discussion/2011-November/059233.html You young people, don't laugh, this will happen to you one day. Anyway, summarizing, it appears that windows float96: a) Is stored as an 80 bit extended precision number b) Uses float64 precision for all calculations. c) Is specific to MingW builds of numpy - I think. Perhaps David C you'll correct me if I've got that wrong, Best, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
