Thanks to your question, I discovered that there is a float128 dtype in numpy
In[5]: np.__version__ Out[5]: '1.6.1' In[6]: np.float128? Type: type Base Class: <type 'type'> String Form:<type 'numpy.float128'> Namespace: Interactive File: /Library/Frameworks/Python.framework/Versions/7.2/lib/python2.7/site-packages/numpy/__init__.py Docstring: 128-bit floating-point number. Character code: 'g'. C long float compatible. Based on some reported issues, it seems like there are issues though with this and its mapping to python long integer... http://mail.scipy.org/pipermail/numpy-discussion/2011-October/058784.html HTH, Jonathan On Wed, Feb 29, 2012 at 9:22 AM, Paweł Biernat <pw...@wp.pl> wrote: > I am completely new to Numpy and I know only the basics of Python, to > this point I was using Fortran 03/08 to write numerical code. However, > I am starting a new large project of mine and I am looking forward to > using Python to call some low level Fortran code responsible for most > of the intensive number crunching. In this context I stumbled into > f2py and it looks just like what I need, but before I start writing an > app in mixture of Python and Fortran I have a question about numerical > precision of variables used in numpy and f2py. > > Is there any way to interact with Fortran's real(16) (supported by gcc > and Intel's ifort) data type from numpy? By real(16) I mean the > binary128 type as in IEEE 754. (In C this data type is experimentally > supported as __float128 (gcc) and _Quad (Intel's icc).) I have > investigated the float128 data type, but it seems to work as binary64 > or binary80 depending on the architecture. If there is currently no > way to interact with binary128, how hard would it be to patch the > sources of numpy to add such data type? I am interested only in > basic stuff, comparable in functionality to libmath. > > As said before, I have little knowledge of Python, Numpy and f2py, I > am however, interested in investing some time in learing it and > implementing the mentioned features, but only if there is any hope of > succeeding. > > > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > -- Jonathan Rocher, PhD Scientific software developer Enthought, Inc. jroc...@enthought.com 1-512-536-1057 http://www.enthought.com
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