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4 rows where author_association = "CONTRIBUTOR" and issue = 956103236 sorted by updated_at descending

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user 3

  • jacobtomlinson 2
  • jthielen 1
  • pentschev 1

issue 1

  • Duck array compatibility meeting · 4 ✖

author_association 1

  • CONTRIBUTOR · 4 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
924108418 https://github.com/pydata/xarray/issues/5648#issuecomment-924108418 https://api.github.com/repos/pydata/xarray/issues/5648 IC_kwDOAMm_X843FMaC jacobtomlinson 1610850 2021-09-21T15:37:12Z 2021-09-21T15:38:56Z CONTRIBUTOR

I can be there! @jakirkham and @pentschev are also Dask maintainers so there should be good representation.

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  Duck array compatibility meeting 956103236
890191588 https://github.com/pydata/xarray/issues/5648#issuecomment-890191588 https://api.github.com/repos/pydata/xarray/issues/5648 IC_kwDOAMm_X841Dz7k pentschev 4398246 2021-07-30T22:04:51Z 2021-07-30T22:04:51Z CONTRIBUTOR

I'm also happy to join the meeting. Thanks @TomNicholas for the initiative here and @jacobtomlinson for tagging me.

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  Duck array compatibility meeting 956103236
890165626 https://github.com/pydata/xarray/issues/5648#issuecomment-890165626 https://api.github.com/repos/pydata/xarray/issues/5648 IC_kwDOAMm_X841Dtl6 jthielen 3460034 2021-07-30T21:34:32Z 2021-07-30T21:41:41Z CONTRIBUTOR

Count me in for the meeting!


Here are a few suggestions about possible topics to add to the agenda (based on linked issues/discussions), if we can fit it all in:

  • Canonical/minimal API of a "duck array" and how to detect it (though may be superseded by NEPs 30 and 47 among others)
  • Consistency of type deferral (i.e., between construction, binary ops, __array_ufunc__, __array_function__, and array modules...for example, these are uniform in Pint, but construction and array module functions are deliberately different from the others for Dask arrays)
  • API for inter-type casting and changing what types are used in a nested array (e.g. #3245 and #5568)
  • How to handle unknown duck arrays
  • Nested array reprs (both short and full)
  • Best practices for "carrying through" operations belonging to wrapped types (i.e., doing Dask-related things to a Pint Quantity or xarray DataArray that contains a Dask array), even if multiple layers deep

Also, tagging a few other array type libraries and maintainers/contributors who may be interested (please ping the relevant folks if you know them):

  • unyt (@ngoldbaum)
  • astropy.units (??)
  • NumPy masked arrays (??)
  • scipp (@SimonHeybrock, xref https://github.com/pydata/xarray/issues/3509)

(interesting side note is the first three of these are all ndarray subclasses right now...perhaps discussing the interplay between array subclassing and wrapping is in order too?)

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  Duck array compatibility meeting 956103236
889909886 https://github.com/pydata/xarray/issues/5648#issuecomment-889909886 https://api.github.com/repos/pydata/xarray/issues/5648 IC_kwDOAMm_X841CvJ- jacobtomlinson 1610850 2021-07-30T13:55:56Z 2021-07-30T13:55:56Z CONTRIBUTOR

Happy to attend. It might also be useful to have @pentschev involved too.

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  Duck array compatibility meeting 956103236

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