[scikit-learn] How to test on PYTHON_ARCH=32 with mac?

[lin yenchen]

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 <yenchenlin1994 at gmail.com>:

> 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 <matthew.brett at gmail.com>:
>
>> On Wed, Jul 20, 2016 at 9:16 AM, Matthew Brett <matthew.brett at gmail.com>
>> wrote:
>> > On Wed, Jul 20, 2016 at 9:09 AM, Olivier Grisel
>> > <olivier.grisel at ensta.org> 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
>> scikit-learn at python.org
>> https://mail.python.org/mailman/listinfo/scikit-learn
>>
>
>
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