David Cournapeau wrote: > Hi, > > I looked more in detail on what would be needed to port numpy to > py3k. In particular, I was interested at the possible strategies to > keep one single codebase for both python 2.x and python 3.x. The first > step is to remove all py3k warnings reported by python 2.6. A couple > of recurrent problems > - reduce is removed in py3k > - print is removed > - some exceptions constructions are not allowed > > I think a first step would be to add a compatibility module to remove > any use of print/reduce in the numpy codebase (should not be too > difficult). For reduce, we could import functools from python code > (functools is not available in python 2.4). Unless someone has an > objection, I will import functools code, make it compile for python > 2.4 and above, and remove all builtin reduce calls in numpy. > > Another problem is related to nose: there is an experimental branch > for nose which supports py3k, but nose <= 1.0 will not support py3k. > The nose author intend to support py3k in a version > 1.0, at which > point he will only support python 2.6 and above. I don't know what to > do with this (include our own nose in numpy for version < 2.6 - giving > up support for python < 2.6 does not sound like a realistic option in > the next few years). > > cheers, > > David > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion > Hi, It is good news that nose has some Py3K support. Hopefully all NumPy tests will work with all versions of nose as Python 2.6 is meant to be backwards compatible.
I agree that a single code base should be used if possible however there are a lot of C code changes required as well as Python code changes: http://www.scipy.org/Python3k http://jarrodmillman.blogspot.com/2009/01/when-will-numpy-and-scipy-migrate-to.html Are the C code changes independent of the warnings provided by Python 2.6 -3 option and eventually the 2to3 tool? Bruce _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
