On 02/01/16 01:44, Sergey Matyunin wrote:
Dear Maciej,
Thanks for the answer!
Does it make sense to fix failing tests? Or may be they were left as
is because they are irrelevant?
Do numpypy developers use these tests or some other tests?
Does any guidelines exist for numpypy developers? Do I need to create
an issue for each PR?
Is this maillist the right place for asking that questions?
The test suite in the pypy/numpy repo is forked directly from the
upstream numpy repo. We so far consider our inability to run them
failures in the pypy/pypy micronumpy module. You should not fix these
tests or the pypy/numpy repo itself for most of these issues, rather the
essence of the failing test should be rewritten in
pypy/pypy/module/micronumpy/tests/test*.py and fixed there. Some of the
failures may actually require modification of the pypy/numpy repo, but
that would be only after we exhaust options to make our micronumpy
implementation 100% compatible.
And just to point out one such exception to the rule of modifying only
micronumpy:
One of the most prevalent test failures (as can be seen here
https://gist.github.com/mattip/2e6f05f1900eb6a9fd99 ) is the lack of
numpy.ndarray.partition. I have a plan to reimplement this in the
pypy/numpy repo in cffi (see here for an outline
https://gist.github.com/mattip/ab34268b049b859554ad ) rather than
rewriting it in rpython, but have not been able to get around to
actually doing it.
Feel free to ask here or on IRC for more help
Matti
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