> Hi, > > I am pleased to announce the availability of the first release candidate > of > SciPy 0.11.0. For this release many new features have been added, and over > 120 tickets and pull requests have been closed. Also noteworthy is that > the > number of contributors for this release has risen to over 50. Some of the > highlights are: > > - A new module, sparse.csgraph, has been added which provides a number > of > common sparse graph algorithms. > - New unified interfaces to the existing optimization and root finding > functions have been added. > > Sources and binaries can be found at > https://sourceforge.net/projects/scipy/files/scipy/0.11.0rc1/, release > notes are copied below. > > Please try this release candidate and report any problems on the scipy > mailing lists.
Failure on Archlinux 64bit, Python 2.7.3, Numpy 1.6.1: This is what I did: mkvirtualenv --system-site-packages --distribute scipy_test_rc1 cd ~/.virtualenvs/scipy_test_rc1 mkdir src wget -O src/scipy-0.11.0rc1.tar.gz "http://downloads.sourceforge.net/project/scipy/scipy/0.11.0rc1/scipy-0.11.0rc1.tar.gz?r=http%3A%2F%2Fsourceforge.net%2Fprojects%2Fscipy%2Ffiles%2Fscipy%2F0.11.0rc1%2F&ts=1342772081&use_mirror=netcologne"; cd src tar xzf scipy-0.11.0rc1.tar.gz cd scipy-0.11.0rc1 python setup.py build python setup.py install cd python -c "import scipy; scipy.test('full')" Running unit tests for scipy NumPy version 1.6.1 NumPy is installed in /usr/lib/python2.7/site-packages/numpy SciPy version 0.11.0rc1 SciPy is installed in /home2/hilboll/.virtualenvs/scipy_test_rc1/lib/python2.7/site-packages/scipy Python version 2.7.3 (default, Apr 24 2012, 00:00:54) [GCC 4.7.0 20120414 (prerelease)] nose version 1.1.2 [...] ====================================================================== FAIL: test_basic.TestNorm.test_stable ---------------------------------------------------------------------- Traceback (most recent call last): File "/usr/lib/python2.7/site-packages/nose/case.py", line 197, in runTest self.test(*self.arg) File "/home2/hilboll/.virtualenvs/scipy_test_rc1/lib/python2.7/site-packages/scipy/linalg/tests/test_basic.py", line 585, in test_stable assert_almost_equal(norm(a) - 1e4, 0.5) File "/usr/lib/python2.7/site-packages/numpy/testing/utils.py", line 468, in assert_almost_equal raise AssertionError(msg) AssertionError: Arrays are not almost equal to 7 decimals ACTUAL: 0.0 DESIRED: 0.5 ---------------------------------------------------------------------- FAILED (KNOWNFAIL=16, SKIP=42, failures=1) _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
