On Mon, Nov 2, 2009 at 2:42 PM, Reckoner <recko...@gmail.com> wrote: > Anybody have any ideas here? > > Otherwise, I'm thinking this should be posted to the numpy bugs list. > What's the best way to report a bug of this kind? > > Thanks! > > On Fri, Oct 30, 2009 at 5:48 PM, Reckoner <recko...@gmail.com> wrote: >>> Robert Kern wrote: >>> You can import numpy.core.multiarray on both machines? >> >> Yes. For each machine separately, you can cPickle files with numpy >> arrays without problems loading/dumping. The problem comes from >> transferring the win32 cPickle'd files to Linux 64 bit and then trying >> to load them. Transferring cPickle'd files that do *not* have numpy >> arrays work as expected. In other words, cPICKLE'd lists transfer fine >> back and forth between the two machines. In fact, we currently get >> around this problem by converting the numpy arrays to lists, >> transferring them, and then re-numpy-ing them on the respective hosts >> >> thanks. >> >> >> On Fri, Oct 30, 2009 at 11:13 AM, Reckoner <recko...@gmail.com> wrote: >>> Hi, >>> >>> % python -c 'import numpy.core.multiarray' >>> >>> works just fine, but when I try to load a file that I have transferred >>> from another machine running Windows to one running Linux, I get: >>> >>> % python -c 'import cPickle;a=cPickle.load(open("matrices.pkl"))' >>> >>> Traceback (most recent call last): >>> File "<string>", line 1, in <module> >>> ImportError: No module named multiarray >>> >>> otherwise, cPickle works normally when transferring files that *do* >>> not contain numpy arrays. >>> >>> I am using version 1.2 on both machines. It's not so easy for me to >>> change versions, by the way, since this is the version that my working >>> group has decided on to standardize on for this effort. >>> >>> >>> Any help appreciated. >>> >> > _______________________________________________ > NumPy-Discussion mailing list > NumPy-Discussion@scipy.org > http://mail.scipy.org/mailman/listinfo/numpy-discussion >
Have you have tried the other Cookbook approaches: http://www.scipy.org/Cookbook/InputOutput Like using numpy's own array io functions - load/save(z)? (seems to work between 64-bit Windows 7 and 64-bit Linux - each has different numpy versions) Bruce _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion