Hi all, This simple-looking change:
http://projects.scipy.org/numpy/changeset/8077 is giving me a wholly broken (unimportable) numpy on ubuntu 9.10, 64-bit: uqbar[junk]> python -c 'import numpy' Traceback (most recent call last): File "<string>", line 1, in <module> File "/home/fperez/usr/opt/lib/python2.6/site-packages/numpy/__init__.py", line 136, in <module> import add_newdocs File "/home/fperez/usr/opt/lib/python2.6/site-packages/numpy/add_newdocs.py", line 9, in <module> from numpy.lib import add_newdoc File "/home/fperez/usr/opt/lib/python2.6/site-packages/numpy/lib/__init__.py", line 4, in <module> from type_check import * File "/home/fperez/usr/opt/lib/python2.6/site-packages/numpy/lib/type_check.py", line 8, in <module> import numpy.core.numeric as _nx File "/home/fperez/usr/opt/lib/python2.6/site-packages/numpy/core/__init__.py", line 5, in <module> import multiarray ImportError: /home/fperez/usr/opt/lib/python2.6/site-packages/numpy/core/multiarray.so: undefined symbol: PyUnicodeUCS2_AsASCIIString I reverted to 8076 and it's ok now: uqbar[junk]> python -c 'import numpy;numpy.test()' Running unit tests for numpy NumPy version 1.5.0.dev8076 NumPy is installed in /home/fperez/usr/opt/lib/python2.6/site-packages/numpy Python version 2.6.4 (r264:75706, Dec 7 2009, 18:43:55) [GCC 4.4.1] nose version 0.11.1 .......................................................................... ---------------------------------------------------------------------- Ran 2506 tests in 7.083s OK (KNOWNFAIL=5, SKIP=4) The change is very small and was logged as fixing another bug, but it seems something is amiss now. If it was committed like that I imagine it works on some systems, so is it a problem on my end? I'm using the system python (2.6) and it's an otherwise fairly standard ubuntu box, were I only run ipython, numpy, scipy and matplotlib from dev trees and everything else is stock from the distro. Any help much appreciated, f _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
