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Bump minimum versions for 0.16 release #4175
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Here's the output from our min_deps script for a double check
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cc @crusaderky Something seems to be going wrong with the dates in our version checking script. Our policy is to not to require any release of SciPy within the past 12 months, but SciPy 1.4.0 was released on Dec 16, 2019 (only 7 months ago): https://github.com/scipy/scipy/tree/v1.4.0 |
Fixes the issue noticed in: pydata#4175 (comment)
I've attempted a fix in #4178. This requires rolling back to older versions of NumPy and pandas -- we'll see if that works! |
Actually, I'm just bad at reading. Our policy is "the minor version (X.Y) initially published no more than N months ago", which is correctly implemented by the code. I think we might want to change the policy, but that's a different matter.... |
Yes, the policy works well in NEP-29 for numpy and python, but can be problematic for seldom-updated packages |
I removed the scipy bump. Now it's just dask, distributed and numba. |
Looks good to me! |
Thanks! |
* master: Add initial cupy tests (pydata#4214) Add 0.16.0 release summary New whatsnew section Release v0.16.0 Minor reorg of whatsnew for 0.16.0 (pydata#4216) fix sphinx warnings (pydata#4199) pin isort (pydata#4206) get the colorbar label via public methods (pydata#4201) Bump minimum versions for 0.16 release (pydata#4175) Allow passing axis kwargs to plot (pydata#4020) Fix to_unstacked_dataset for single dimension variables. (pydata#4094) Improve the speed of from_dataframe with a MultiIndex (by 40x!) (pydata#4184) More pint compatibility: silence UnitStrippedWarnings (pydata#4163) Fix typo (pydata#4192) use the latest image of RTD (pydata#4191)
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