[SciPy-User] ANN: SciPy 0.11.0 release candidate 2
Christoph Gohlke
cgohlke at uci.edu
Mon Aug 13 18:09:02 EDT 2012
On 8/13/2012 11:30 AM, Ralf Gommers wrote:
> Hi,
>
> I am pleased to announce the availability of the second 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
> http://sourceforge.net/projects/scipy/files/scipy/0.11.0rc2/, release
> notes are copied below.
>
> For this release candidate all known issues (with the exception of one
> Qhull issue on Debian, s390x platform) have been solved. In the meantime
> also OS X 10.8 was released, this RC contains a few build fixes for that
> platform.
>
> If no more serious issues are reported, the final release will be in one
> week.
>
> Cheers,
> Ralf
Hi Ralf,
test_qz_double_sort is now failing in all msvc9/MKL builds (Python 2.6
to 3.2, 32 and 64 bit):
FAIL: test_qz_double_sort (test_decomp.TestQZ)
----------------------------------------------------------------------
Traceback (most recent call last):
File
"X:\Python32\lib\site-packages\scipy\linalg\tests\test_decomp.py", line
1728, in test_qz_double_sort
[ 0. , 0. , 0. , -12.8217]]), 4)
File "X:\Python32\lib\site-packages\numpy\testing\utils.py", line
800, in assert_array_almost_equal
header=('Arrays are not almost equal to %d decimals' % decimal))
File "X:\Python32\lib\site-packages\numpy\testing\utils.py", line
636, in assert_array_compare
raise AssertionError(msg)
AssertionError:
Arrays are not almost equal to 4 decimals
(mismatch 62.5%)
x: array([[-14.66007968, -27.25220511, -31.55732717, -29.0823765 ],
[ 0. , 30.23027809, 42.47668118, 52.55438253],
[ 0. , 0. , 0.71600413, -2.77147791],
[ 0. , 0. , 0. , 2.50096525]])
y: array([[ 3.57864000e+01, -8.09061000e+01, -1.20629000e+01,
-9.49800000e+00],
[ 0.00000000e+00, 2.76380000e+00, -2.35050000e+00,...
Christoph
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