I just happened to have an xp64 VM running: My version of numpy (1.6.1) does not have float128 (see more below what I get in ipython session). If you need to test something else please let me know. Val ---
Enthought Python Distribution -- www.enthought.com Python 2.7.2 |EPD 7.2-2 (64-bit)| (default, Jul 3 2011, 15:34:33) [MSC v.1500 6 4 bit (AMD64)] Type "copyright", "credits" or "license" for more information. IPython 0.12 -- An enhanced Interactive Python. ? -> Introduction and overview of IPython's features. %quickref -> Quick reference. help -> Python's own help system. object? -> Details about 'object', use 'object??' for extra details. Welcome to pylab, a matplotlib-based Python environment [backend: WXAgg]. For more information, type 'help(pylab)'. In [1]: import numpy as np In [2]: np.__version__ Out[2]: '1.6.1' In [3]: np.flo np.float np.float32 np.float_ np.floor np.float16 np.float64 np.floating np.floor_divide In [3]: np.flo On Thu, Mar 15, 2012 at 11:25 PM, Matthew Brett <[email protected]>wrote: > Hi, > > On Thu, Mar 15, 2012 at 9:17 PM, David Cournapeau <[email protected]> > wrote: > > > > > > On Thu, Mar 15, 2012 at 11:10 PM, Matthew Brett <[email protected] > > > > wrote: > >> > >> Hi, > >> > >> Am I right in thinking that float96 on windows 32 bit is a float64 > >> padded to 96 bits? > > > > > > Yes > > > >> > >> If so, is it useful? > > > > > > Yes: this is what allows you to use dtype to parse complex binary files > > directly in numpy without having to care so much about those details. And > > that's how it is defined on windows in any case (C standard only forces > you > > to have sizeof(long double) >= sizeof(double)). > > I propose then to rename this one to float64_96 . > > The nexp value in finfo(np.float96) is incorrect I believe, I'll make > a ticket for it. > > >> Has anyone got a windows64 > >> box to check float128 ? > > > > > > Too lazy to check on my vm, but I am pretty sure it is 16 bytes on > windows > > 64. > > Should you have time to do that, could you confirm it's also a padded > float64 and that nexp is still (incorrectly) 15? That would be a > great help, > > Thanks, > > Matthew > _______________________________________________ > NumPy-Discussion mailing list > [email protected] > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
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