Mike Ressler wrote: > I'm trying to work with memmaps on very large files, i.e. > 2 GB, up > to 10 GB. The files are data cubes of images (my largest is > 1290(x)x1024(y)x2011(z)) and my immediate task is to strip the data > from 32-bits down to 16, and to rearrange some of the data on a > per-xy-plane basis. I'm running this on a Fedora Core 5 64-bit system, > with python-2.5b2 (that I believe I compiled in 64-bit mode) and > numpy-1.0b1. The disk has 324 GB free space. I just discovered the problem. All the places where PyObject_As<Read/Write>Buffer is used needs to have the final argument changed to Py_ssize_t (which in arrayobject.h is defined as int if you are using less than Python 2.5).
This should be fixed in SVN shortly.... -Travis ------------------------------------------------------------------------- Take Surveys. Earn Cash. Influence the Future of IT Join SourceForge.net's Techsay panel and you'll get the chance to share your opinions on IT & business topics through brief surveys -- and earn cash http://www.techsay.com/default.php?page=join.php&p=sourceforge&CID=DEVDEV _______________________________________________ Numpy-discussion mailing list Numpy-discussion@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/numpy-discussion
