Dan Yamins wrote: > I'm using python 2.5.2 on OS X, with 8 GB of ram, and a 64-bit > processor. In > this, setting, I'm working with large arrays of binary data. E.g, I > want to > make calls like: > Z = numpy.inner(a,b) > where and b are fairly large -- e.g. 20000 rows by 100 columns.
Hey Dan. Now, that you mention you are using OS X, I'm fairly confident that the problem is that you are using a 32-bit version of Python (i.e. you are not running in full 64-bit mode and so the 4GB limit applies). The most common Python on OS X is 32-bit python. I think a few people in the SAGE project have successfully built Python in 64-bit mode on OSX (but I don't think they have released anything yet). You would have to use a 64-bit version of Python to compile NumPy if you want to access large memory. -Travis _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion
