On 4 Jan 2014 11:53, "Stefan Behnel" <stefan...@behnel.de> wrote: > > mark florisson, 03.01.2014 23:28: > > On 3 January 2014 18:22, Stefan Behnel wrote: > >> I enabled the NumPy build for our Py3.3 test runs and while I was at it, I > >> got it to use the latest NumPy release 1.8. This made one of the tests fail: > >> > >> """ > >> Traceback (most recent call last): > >> File ".../doctest.py", line 1313, in __run > >> compileflags, 1), test.globs) > >> File "<doctest relaxed_strides.__test__.test_one_sized (line > >> 29)[3]>", line 1, in <module> > >> test_one_sized(a)[0] > >> File "relaxed_strides.pyx", line 38, in > >> relaxed_strides.test_one_sized (relaxed_strides.cpp:1414) > >> File "stringsource", line 622, in View.MemoryView.memoryview_cwrapper > >> (relaxed_strides.cpp:7568) > >> File "stringsource", line 327, in > >> View.MemoryView.memoryview.__cinit__ (relaxed_strides.cpp:3717) > >> > >> ValueError: ndarray is not C-contiguous > >> """ > >> > >> https://sage.math.washington.edu:8091/hudson/job/cython-devel-tests/1787/ARCH=m64,BACKEND=cpp,PYVERSION=py33m/console > >> > >> According to the comments in the test file and the corresponding NumPy pull > >> request, this seems to be somewhat expected. > >> > >> https://github.com/cython/cython/blob/master/tests/memoryview/relaxed_strides.pyx > >> > >> https://github.com/numpy/numpy/pull/3162 > >> > >> Does someone know enough about this to figure out what to do? > > > > It seems to come from the call to __Pyx_GetBuffer, which is > > PyObject_GetBuffer in python 3. Maybe this is Python 3 not checking > > for an extent of 1, but instead only checking the stride (which is a > > multiple of the itemsize)? > > No, Py3 doesn't do any validation here, it does a straight call into the > object's slot function, i.e. into the NumPy array itself. > > So, the question is: who's wrong here? The test or NumPy? > > Hmm, or maybe just me. I didn't define the NPY_RELAXED_STRIDES_CHECKING > environment variable for the NumPy build. Let's try that first. > > http://docs.scipy.org/doc/numpy/release.html#npy-relaxed-strides-checking
It's probably nicer though to write the Cython tests in such a way that they can pass against a default numpy installation? To avoid user confusion and all that. If those tests depend on numpy having relaxed strides enabled, then I'd suggest checking for this a test time and skipping the tests if not found. The relaxed strides docs give a recipe for determining how numpy was built. -n
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