On Tue, 2013-10-01 at 12:00 +0200, Jens Jørgen Mortensen wrote:
Den 30-09-2013 17:17, Charles R Harris skrev:
Hi All,
NumPy 1.8.0rc1 is up now on sourceforge .The binary builds are included except for Python 3.3 on windows, which will arrive later. Many thanks to Ralf for the binaries, and to those who found and fixed the bugs in the last beta. Any remaining bugs are all my fault ;) I hope this will be the last release before final, so please test it thoroughly.
I seems that solve() doesn't like arrays like zeros((3, 0)). I get this with 1.8.0rc1 on Ubuntu 13.04 and Python 2.7.4:
Hey, can you create an issue on github so I don't forget it? This needs another special case to handle with the new gufunc based code. (Added checks there recently to fix these, but the `K=0` one is missing). - Sebastian
import numpy as np np <module 'numpy' from '/home/jensj/numpy-1.8.0rc1/lib/python/numpy/__init__.pyc'> np.linalg.solve(np.eye(3), np.zeros((3, 0))) Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/jensj/numpy-1.8.0rc1/lib/python/numpy/linalg/linalg.py",
Python 2.7.4 (default, Apr 19 2013, 18:32:33) [GCC 4.7.3] on linux2 Type "help", "copyright", "credits" or "license" for more information. line 380, in solve r = gufunc(a, b, signature=signature, extobj=extobj) ValueError: cannot remove a zero-sized axis from an iterator
with 1.7.1 it works OK:
np <module 'numpy' from '/usr/lib/python2.7/dist-packages/numpy/__init__.pyc'> np.linalg.solve(np.eye(3), np.zeros((3, 0))) array([], shape=(3, 0), dtype=float64)
Jens Jørgen
Chuck
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