Created attachment 158383 [details] Update math/py-pandas to 0.16.2 Changelog ========= * Update to 0.16.2 QA == * poudriere See attached testport logs. * portlint % portlint -AC math/py-pandas WARN: Makefile: for new port, make $FreeBSD$ tag in comment section empty, to make SVN happy. 0 fatal errors and 1 warning found. * nosetests Ran 8481 tests in 1164.110s FAILED (SKIP=229, errors=56) ERROR: test_pytables_native_read (pandas.io.tests.test_pytables.TestHDFStore) This is an error in devel/py-tables. ERROR: test_to_hdf_with_object_column_names (pandas.io.tests.test_pytables.TestHDFStore) This is a new test in 0.16.2 (see https://github.com/pydata/pandas/issues/9057). There appears to be a latent defect, either in the test itself, or in the bug fix it aims to cover, because when I run the test in isolation I get a batch of NaturalNameWarning but it passes, and when I run the entire TestHDFStore fixture in isolation, there are no warnings and only test_pytables_native_read fails. I will investigate further, and send my findings upstream if appropriate, but this does not appear to be a problem with this port. All other errors are traceable to a backwards-incompatible API change as of textproc/py-openpyxl 2.2.0, which I have reported upstream (https://github.com/pydata/pandas/issues/9747). Others have noted it too (https://github.com/pydata/pandas/issues/10125). This port already advertizes the OPENPYXL2 option as "EXPERIMENTAL" per upstream documentation.
Created attachment 158384 [details] poudriere testport log for py27-pandas-0.16.2
Created attachment 158385 [details] poudriere testport log for py34-pandas-0.16.2
Created attachment 158386 [details] Nosetests output (w/python2.7 and all options enabled)
A commit references this bug: Author: robak Date: Tue Jul 7 09:36:03 UTC 2015 New revision: 391497 URL: https://svnweb.freebsd.org/changeset/ports/391497 Log: math/py-pandas: update 0.16.1 -> 0.16.2 PR: 201363 Submitted by: John W. O'Brien <john@saltant.com> (maintainer) Changes: head/math/py-pandas/Makefile head/math/py-pandas/distinfo
Committed, thanks for your work!