Charles R Harris <charlesr.harris <at> gmail.com> writes: > > > On Jan 8, 2008 6:49 PM, Simon <simonpy2008 <at> gmail.com> wrote: > Newbie here. Trying to generate eigenvalues from a matrix using:print numpy.linalg.eigvals(matrix)This works with small matrices, say 5 x 5, but causes python to crash on largermatrices, say 136 x 136, which is not really very large. > Setup:Win XP SP2Python 2.5.1 (from .msi)numpy 1.0.4 (from .msi)pywin32-210 (from .exe installer)When running from either the command line or the Pythonwin IDE, python.execrashes. The info in the microsoft error reporting thingy is: > AppName: python.exeModName: lapack_lite.pydOffset: 000b7434Stepping through linalg.py using Pythonwin, I get as far as line 418 (in theeigvals function): results = lapack_routine('N', 'N', n, a, n, wr, wi, > dummy, 1, dummy, 1, work, lwork, 0)and then python.exe crashes.That's the extent of my troubleshooting skills at this stage. I haven't workedout if there is a specific matrix size where this starts occurring. Where to now? > > > > Probably just a different execution path depending on matrix size. But I am not that familiar with lapack_lite. > > > I can send the actual data for the matrix if need be, but as it's very large Ithought it would mess up the list if I posted it here. > > > This sounds like a compiler and/or architecture incompatibility since ATLAS doesn't seem to be part of the mix. What is your hardware? > Chuck > > > > > > _______________________________________________ > Numpy-discussion mailing list > Numpy-discussion <at> scipy.org > http://projects.scipy.org/mailman/listinfo/numpy-discussion >
Xeon 5150 in Dell 490. I've also tried it on a couple of other boxes with different hardware since my first post, but don't have the details in front of me. Might try a compile from source on a unix box tomorrow, unless someone comes up with a solution before then. Simon Simon _______________________________________________ Numpy-discussion mailing list Numpy-discussion@scipy.org http://projects.scipy.org/mailman/listinfo/numpy-discussion