Hi, On Mon, Apr 4, 2016 at 9:02 AM, Peter Cock <p.j.a.c...@googlemail.com> wrote: > On Sun, Apr 3, 2016 at 2:11 AM, Matthew Brett <matthew.br...@gmail.com> wrote: >> On Fri, Mar 25, 2016 at 6:39 AM, Peter Cock <p.j.a.c...@googlemail.com> >> wrote: >>> On Fri, Mar 25, 2016 at 3:02 AM, Robert T. McGibbon <rmcgi...@gmail.com> >>> wrote: >>>> I suspect that many of the maintainers of major scipy-ecosystem projects >>>> are >>>> aware of these (or other similar) travis wheel caches, but would guess that >>>> the pool of travis-ci python users who weren't aware of these wheel caches >>>> is much much larger. So there will still be a lot of travis-ci clock cycles >>>> saved by manylinux wheels. >>>> >>>> -Robert >>> >>> Yes exactly. Availability of NumPy Linux wheels on PyPI is definitely >>> something >>> I would suggest adding to the release notes. Hopefully this will help >>> trigger >>> a general availability of wheels in the numpy-ecosystem :) >>> >>> In the case of Travis CI, their VM images for Python already have a version >>> of NumPy installed, but having the latest version of NumPy and SciPy etc >>> available as Linux wheels would be very nice. >> >> We're very nearly there now. >> >> The latest versions of numpy, scipy, scikit-image, pandas, numexpr, >> statsmodels wheels for testing at >> http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com/ >> >> Please do test with: >> ... >> >> We would love to get any feedback as to whether these work on your machines. > > Hi Matthew, > > Testing on a 64bit CentOS 6 machine with Python 3.5 compiled > from source under my home directory: > > > $ python3.5 -m pip install --upgrade pip > Requirement already up-to-date: pip in ./lib/python3.5/site-packages > > $ python3.5 -m pip install > --trusted-host=ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com > --find-links=http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com > numpy scipy > Requirement already satisfied (use --upgrade to upgrade): numpy in > ./lib/python3.5/site-packages > Requirement already satisfied (use --upgrade to upgrade): scipy in > ./lib/python3.5/site-packages > > $ python3.5 -m pip install > --trusted-host=ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com > --find-links=http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com > numpy scipy --upgrade > Collecting numpy > Downloading > http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com/numpy-1.11.0-cp35-cp35m-manylinux1_x86_64.whl > (15.5MB) > 100% |████████████████████████████████| 15.5MB 42.1MB/s > Collecting scipy > Downloading > http://ccdd0ebb5a931e58c7c5-aae005c4999d7244ac63632f8b80e089.r77.cf2.rackcdn.com/scipy-0.17.0-cp35-cp35m-manylinux1_x86_64.whl > (40.8MB) > 100% |████████████████████████████████| 40.8MB 53.6MB/s > Installing collected packages: numpy, scipy > Found existing installation: numpy 1.10.4 > Uninstalling numpy-1.10.4: > Successfully uninstalled numpy-1.10.4 > Found existing installation: scipy 0.16.0 > Uninstalling scipy-0.16.0: > Successfully uninstalled scipy-0.16.0 > Successfully installed numpy-1.11.0 scipy-0.17.0 > > > $ python3.5 -c 'import numpy; numpy.test("full")' > Running unit tests for numpy > NumPy version 1.11.0 > NumPy relaxed strides checking option: False > NumPy is installed in /home/xxx/lib/python3.5/site-packages/numpy > Python version 3.5.0 (default, Sep 28 2015, 11:25:31) [GCC 4.4.7 > 20120313 (Red Hat 4.4.7-16)] > nose version 1.3.7 > 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> ---------------------------------------------------------------------- > Ran 6332 tests in 243.029s > > OK (KNOWNFAIL=7, SKIP=2) > > > > So far so good, but there are a lot of deprecation warnings etc from SciPy, > > > $ python3.5 -c 'import scipy; scipy.test("full")' > Running unit tests for scipy > NumPy version 1.11.0 > NumPy relaxed strides checking option: False > NumPy is installed in /home/xxx/lib/python3.5/site-packages/numpy > SciPy version 0.17.0 > SciPy is installed in /home/xxx/lib/python3.5/site-packages/scipy > Python version 3.5.0 (default, Sep 28 2015, 11:25:31) [GCC 4.4.7 > 20120313 (Red Hat 4.4.7-16)] > nose version 1.3.7 > [snip] > /home/xxx/lib/python3.5/site-packages/numpy/lib/utils.py:99: > DeprecationWarning: `rand` is deprecated! > numpy.testing.rand is deprecated in numpy 1.11. Use numpy.random.rand instead. > warnings.warn(depdoc, DeprecationWarning) > [snip] > /home/xxx/lib/python3.5/site-packages/scipy/io/arff/tests/test_arffread.py:254: > DeprecationWarning: parsing timezone aware datetimes is deprecated; > this will raise an error in the future > ], dtype='datetime64[m]') > /home/xxx/lib/python3.5/site-packages/scipy/io/arff/arffread.py:638: > PendingDeprecationWarning: generator '_loadarff.<locals>.generator' > raised StopIteration > [snip] > /home/xxx/lib/python3.5/site-packages/scipy/sparse/tests/test_base.py:2425: > DeprecationWarning: This function is deprecated. Please call > randint(-5, 5 + 1) instead > I = np.random.random_integers(-M + 1, M - 1, size=NUM_SAMPLES) > [snip] > 0-th dimension must be fixed to 3 but got 15 > [snip] > ---------------------------------------------------------------------- > Ran 21407 tests in 741.602s > > OK (KNOWNFAIL=130, SKIP=1775) > > > Hopefully I didn't miss anything important in hand editing the scipy output.
Thanks a lot for testing. I believe the deprecation warnings are expected, because numpy 1.11.0 introduced a new deprecation warning when using `random_integers`. Scipy 0.17.0 is using `random_integers` in a few places. Best, Matthew _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org https://mail.scipy.org/mailman/listinfo/numpy-discussion
