v0.14.1 Release

[crusaderky]

I think with the multiple recent breakages we've just had due to dependency upgrades, we should push out a patch release with some haste.

Please comment/add/object

Must have

• numpy 1.18 support test failure with upstream-dev #3409
• pseudonetcdf 3.1.0 support test failure with upstream-dev #3409, Restore crashing CI tests on pseudonetcdf-3.1 #3420
• require cftime != 1.0.4 unpin cftime #3463
• groupby reduce regression fix Another groupby.reduce bugfix. #3403
• pandas master support Build failure with pandas master #3440

Nice to have

• ellipsis (...) work Transpose some but not all dimensions #1081, Allow ellipsis in place of xr.ALL_DIMS? #3414, change ALL_DIMS to equal ellipsis #3418, Allow ellipsis (...) in transpose #3421, add ALL_DIMS in xr.dot #3423, enable xr.ALL_DIMS in xr.dot #3424
• HTML repr Html repr #3425 (really mouth-watering, but I'm unsure about how far it is from completion)
• groupby drop nan groups Drop groups associated with nans in group variable #3406
• deprecate allow_lazy Deprecate allow_lazy #3435
• __dask_tokenize__ __dask_tokenize__ #3446
• dask name equality Optimize dask array equality checks. #3453
• Leave empty slot when not using accessors Leave empty slot when not using accessors #3531

[dcherian]

#3406 needs a review

[mathause]

Would be nice to get this out - just hit #3426. (I now updated to master but this is besides the point).

[crusaderky]

@mathause I'm personally really uncomfortable pushing out a release when there are multiple known breakages against dependencies - see Must have list. Help is welcome!

[crusaderky]

@barronh any update re pseudonetcdf 3.1?

[barronh]

I believe there are two issues here.

First, the 3.1 release was not 2.7 compliant. It mixed named keyword arguments with **kwds. That could be fixed easily.

Second, the camx reader changed subclasses, which affects the xarray test for CF variables. I could update the test that would fix xarray test-case.

[crusaderky]

@barronh, we don't care about Python 2.7 compliance. We support >=3.6.

[barronh]

Got it. This is a test update to a test that is backward and forward compatible. I'll get something checked in.

[mathause]

xref for numpy 1.18 numpy/numpy#14831

[dcherian]

@mathause Thanks for filing these upstream issues!

[dcherian]

Once #3491 is merged, we should be ready to release since numpy will fix itself (numpy/numpy#14841)

[mathause]

Don't we have to figure out whether to use np.mean or np.nanmean for datetime vectors?

[dcherian]

I'm in favour of releasing even if we are currently broken with numpy master.

Our current release is also broken with numpy master, so the situation is no worse...

[crusaderky]

If someone could review and merge #3537 and #3531, we can close this!

[crusaderky]

I think we're good to go!

[dcherian]

I agree! @crusaderky, @max-sixty: do either of you have the time to make a release?

[max-sixty]

Yup I can do it later this afternoon!

[dcherian]

👍

[dcherian]

Thanks @max-sixty I activated the RTD build.