Bug#669466: [NeuralEnsemble] PyNN: fresh tests failures with 0.7.2
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\t2.2998\n'), call('1.0\t3.3999\n'), call('2.0\t4.2998\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, 2.2998), (1, 3.3999), (2, 4.2998)] 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 -- You received this message because you are subscribed to the Google Groups Neural Ensemble group. To post to this group, send an email to neuralensem...@googlegroups.com . To unsubscribe from this group, send email to neuralensemble+unsubscr...@googlegroups.com . For more options, visit this group at http://groups.google.com/group/neuralensemble?hl=en-GB . 0001-BF-test_StandardTextFile_write-test-on-numbers-with-.patch -- Dr Andrew Davison Unité de Neuroscience, Information et Complexité (UNIC) Institut de Neurobiologie Alfred Fessard Centre Nationale de la Recherche Scientifique 1, avenue de la Terrasse 91198 Gif sur Yvette France Tel: +33 1 69 82 34 51 http://www.andrewdavison.info/ -- To UNSUBSCRIBE, email to debian-bugs-dist-requ...@lists.debian.org with a subject of unsubscribe. Trouble? Contact listmas...@lists.debian.org
Bug#669466: [NeuralEnsemble] PyNN: fresh tests failures with 0.7.2
Thank you Andrew! I have uploaded 0.7.4-1 to unstable -- now the job would be to persuade release team to allow it to enter wheezy ;-) On Tue, 03 Jul 2012, Andrew Davison wrote: 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 -- 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 -- To UNSUBSCRIBE, email to debian-bugs-dist-requ...@lists.debian.org with a subject of unsubscribe. Trouble? Contact listmas...@lists.debian.org
Bug#669466: [NeuralEnsemble] PyNN: fresh tests failures with 0.7.2
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\t2.2998\n'), call('1.0\t3.3999\n'), call('2.0\t4.2998\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, 2.2998), (1, 3.3999), (2, 4.2998)] 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 /ëPKGBUILDDIRû/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 From 70295461024cc95709ae214b96aa4caa9c225ae9 Mon Sep 17 00:00:00 2001 From: Yaroslav Halchenko deb...@onerussian.com Date: Mon, 2 Jul 2012 11:42:11 -0400 Subject: [PATCH] BF: test_StandardTextFile_write - test on numbers with a disambigous binary/decimal repr --- test/unittests/test_files.py | 17 + 1 file changed, 13 insertions(+), 4 deletions(-) diff --git a/test/unittests/test_files.py b/test/unittests/test_files.py index da4ebe8..1c937ce 100644 --- a/test/unittests/test_files.py +++ b/test/unittests/test_files.py @@ -46,12 +46,21 @@ def test_close(): def test_StandardTextFile_write(): files.open = Mock() stf = files.StandardTextFile(filename, w) -data=[(0, 2.3),(1, 3.4),(2, 4.3)] +# yoh: %r on FP is inconsistent even across Python's versions: +# python-2.7 -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, 2.2998), (1, 3.3999), (2, 4.2998)] +# so that makes straightforward comparison with numbers without +# exact binary representation weak and leading to spurious +# failures. So testing here basic functioning on numbers