Well, but the tests failed on CI <https://ci.appveyor.com/project/agramfort/scikit-learn/build/1.0.505> of my PR <https://github.com/scikit-learn/scikit-learn/pull/6913> passed on my local 32 bit scikit-learn. Do this mean that the problem exists on the Windows? (I assumed appveyor is running Window because of C:\ in the console)
Sorry if this is a nonsense assumption. Best, Yen-Chen 2016-07-21 0:25 GMT+08:00 lin yenchen <[email protected]>: > Thanks for you guys' precious inputs. > > I've successfully built a 32-bit python version scikit-learn and check it > by printing `sys.maxint`, > and all the tests passed on my mac. (I'm running the newest dev version > though) > > Best, > Yen-Chen > > > 2016-07-21 0:00 GMT+08:00 Matthew Brett <[email protected]>: > >> On Wed, Jul 20, 2016 at 9:16 AM, Matthew Brett <[email protected]> >> wrote: >> > On Wed, Jul 20, 2016 at 9:09 AM, Olivier Grisel >> > <[email protected]> wrote: >> >>> I believe this `arch -i386` only works as a prefix for Python.org >> Python, but I'm happy to be corrected. >> >> >> >> Then the following should work: >> >> >> >> arch -i386 python -c "import nose; nose.main()" sklearn >> > >> > Sorry - I should have been clear - this does work in selecting 32-bit >> > for the tests, using a nosetests installed into a Python.org Python >> > environment: >> > >> > arch -i386 nosetests sklearn >> >> Actually, I took the liberty of adding the OSX 32-bit tests to the >> wheel build tests, and scikit-learn 0.17.1 has one failure on 32-bit >> OSX: >> >> https://travis-ci.org/MacPython/scikit-learn-wheels/jobs/146127267#L11761 >> >> ``` >> >> ====================================================================== >> ERROR: sklearn.tree.tests.test_tree.test_huge_allocations >> ---------------------------------------------------------------------- >> Traceback (most recent call last): >> File >> "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.5/site-packages/nose/case.py", >> line 198, in runTest >> self.test(*self.arg) >> File >> "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.5/site-packages/sklearn/tree/tests/test_tree.py", >> line 1032, in test_huge_allocations >> assert_raises(MemoryError, clf.fit, X, y) >> File >> "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/unittest/case.py", >> line 727, in assertRaises >> return context.handle('assertRaises', args, kwargs) >> File >> "/Library/Frameworks/Python.framework/Versions/3.5/lib/python3.5/unittest/case.py", >> line 176, in handle >> callable_obj(*args, **kwargs) >> File >> "/Users/travis/build/MacPython/scikit-learn-wheels/venv/lib/python3.5/site-packages/sklearn/tree/tree.py", >> line 348, in fit >> max_leaf_nodes) >> File "sklearn/tree/_tree.pyx", line 291, in >> sklearn.tree._tree.BestFirstTreeBuilder.__cinit__ >> >> (/private/var/folders/gw/_2jq29095y7b__wtby9dg_5h0000gn/T/pip-j_xtpbj9-build/sklearn/tree/_tree.c:4461) >> OverflowError: Python int too large to convert to C long >> ``` >> >> No failures for 32-bit Linux though. >> >> Best, >> >> Matthew >> _______________________________________________ >> scikit-learn mailing list >> [email protected] >> https://mail.python.org/mailman/listinfo/scikit-learn >> > >
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