OK, all the unit tests now pass on a fresh install of Debian Wheezy
(which has NumPy 1.6.2), as well as on Ubuntu 11.04 (NumPy 1.5.1).
I've made a new bug-fix release:
package: http://pypi.python.org/pypi/PyNN/0.7.4
source: https://neuralensemble.org/svn/PyNN/tags/0.7.4 or
https://neuralensemble.org/svn/PyNN/branches/0.7
Please let me know if there are any problems.
Cheers,
Andrew
On 2 juil. 12, at 23:38, Yaroslav Halchenko wrote:
oki doki -- here is an update -- boiled down all numpy-related
issues (I have
not looked at the failing mock-related test -- which smells also
like a
regression in mock 0.8.0):
1.
NB unittests.test_files.test_NumpyBinaryFile failure seems was gone
in
its own course with upgrades of numpy
but I also started to get
=
=====================================================================
ERROR: unittests.test_files.test_NumpyBinaryFile
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in
runTest
self.test(*self.arg)
File "/tmp/buildd/pynn-0.7.2/test/unittests/test_files.py", line
92, in test_NumpyBinaryFile
assert_equal(nbf.get_metadata(), metadata)
File "/tmp/buildd/pynn-0.7.2/build/lib.linux-x86_64-2.7/pyNN/
recording/files.py", line 216, in get_metadata
self.fileobj.seek(0)
ValueError: I/O operation on closed file
here is the report:
http://projects.scipy.org/numpy/ticket/2178#comment:1
and tentative fix
https://github.com/numpy/numpy/pull/328
pynn "workaround" would probably simply to disable that portions
of the test on numpy >= 1.6, and <= (where gets fixed).
agree?
2.
A new one
======================================================================
FAIL: unittests.test_files.test_StandardTextFile_write
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in
runTest
self.test(*self.arg)
File "/home/yoh/deb/gits/pkg-exppsy/pynn/test/unittests/
test_files.py", line 57, in test_StandardTextFile_write
target)
AssertionError: [call('# a = 1\n# b = 9.99\n'),
call('0.0\t2.2999999999999998\n'),
call('1.0\t3.3999999999999999\n'),
call('2.0\t4.2999999999999998\n')] != [(('# a = 1\n# b = 9.99\n',),
{}), (('0.0\t2.3\n',), {}), (('1.0\t3.4\n',), {}), (('2.0\t4.3\n',),
{})]
which I haven't figured out 100% but
$> python2.7 -c "print repr([(0, 2.3),(1, 3.4),(2, 4.3)])"
[(0, 2.3), (1, 3.4), (2, 4.3)]
$> python2.6 -c "print repr([(0, 2.3),(1, 3.4),(2, 4.3)])"
[(0, 2.2999999999999998), (1, 3.3999999999999999), (2,
4.2999999999999998)]
suggests that it might be just worth not relying on repr of FPs where
either decimal or binary form aren't unambiguous, so please
find/accept/consider attached patch or advise on the alternative
resolution
3.
=
=====================================================================
FAIL: unittests.test_files.test_NumpyBinaryFile
----------------------------------------------------------------------
Traceback (most recent call last):
File "/usr/lib/python2.7/dist-packages/nose/case.py", line 197, in
runTest
self.test(*self.arg)
File "/«PKGBUILDDIR»/test/unittests/test_files.py", line 92, in
test_NumpyBinaryFile
assert_equal(nbf.get_metadata(), metadata)
AssertionError: {'a': 1, 'b': 9} != {'a': 1, 'b': 9.99}
- {'a': 1, 'b': 9}
+ {'a': 1, 'b': 9.99}
? +++
boiled down once again to numpy's regression (fixed upstream in as
bisected
e15d0bdd3cc0bc0928e1f4d0b419a2fb3de02af9)
Debian bug report: http://bugs.debian.org/cgi-bin/bugreport.cgi?bug=679948
pynn resolution:
is metadata always of 'float' type? then dtype=(str, float) could be
provided to np.array within NumpyBinaryFile.save to assure correct
dtype...
please advise
--
Yaroslav O. Halchenko
Postdoctoral Fellow, Department of Psychological and Brain Sciences
Dartmouth College, 419 Moore Hall, Hinman Box 6207, Hanover, NH 03755
Phone: +1 (603) 646-9834 Fax: +1 (603) 646-1419
WWW: http://www.linkedin.com/in/yarik
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Unité de Neuroscience, Information et Complexité (UNIC)
Institut de Neurobiologie Alfred Fessard
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