[Numpy-discussion] Re: Trying out Numeric3
oliphant at ee.byu.edu
Tue Mar 22 23:18:58 EST 2005
>>> Do 4 gigabyte 1D numerical python arrays occur in practice? If I
>>> understand correctly, the current implementation gives dimensions a
>>> different pointer type on different platforms. This will break
>>> extension modules on platforms other than 32-bits, as the extension
>>> module expects dimensions to be a pointer to int.
>> This is a must have. Yes, extension modules will have to be
>> recompiled and pointers changed on 64-bit platforms, but this has to
>> be done.
> Why? There needs to be a good reason to break compatibility. Who needs
The "break compatibility argument" is not strong for me here. We are
going to break compatibility in a few places. I'm trying to minimize
them, but I don't want to chain ourselves to bad designs forever just
for the sake of compatibility.
For 32-bit systems there will be no problem, unchanged extension code
will work fine.
Unchanged extension code will not work on 64-bit systems. The change is
not difficult (search and replace). I submit that there are fewer
64-bit users out there currently, but they are going to grow, and will
eventually find Numeric a toy if the dimensions are limited to 32-bits
even on 64-bit systems. The biggest problem is the 1 dimensional
array. Here the 32-bit limit will byte you quickly.
More information about the NumPy-Discussion