html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,performed_via_github_app,issue
https://github.com/pydata/xarray/issues/5648#issuecomment-925146390,https://api.github.com/repos/pydata/xarray/issues/5648,925146390,IC_kwDOAMm_X843JJ0W,35968931,2021-09-22T17:46:34Z,2021-09-22T17:47:15Z,MEMBER,"Thank you very much to everyone who came today (all 18 of us!). The [notes from the meeting are here](https://docs.google.com/document/d/1SIHECqe18Cp9WOe8dbGH8bnpPeraOd4IvNB1cRsntys/edit).

I've raised the ToDos we had as an [issue](https://github.com/pydata/duck-array-discussion/issues/1) in the [new duck array discussion repo](https://github.com/pydata/duck-array-discussion) - anyone interested in this topic might want to watch the activity on that repository.

The plan now is to continue via asynchronous discussion on that new repo, referring back to issues in specific libraries when necessary. If we come to another sticking point that requires in-person discussion then we can organise another face-to-face meeting at that point, which I am happy to do. However we won't organise another meeting until there is a specific blockage to discuss. I will therefore keep this issue open so I can use it to alert anyone who might be interested in a follow-up meeting.","{""total_count"": 3, ""+1"": 3, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,956103236
https://github.com/pydata/xarray/issues/5648#issuecomment-925005696,https://api.github.com/repos/pydata/xarray/issues/5648,925005696,IC_kwDOAMm_X843IneA,35968931,2021-09-22T14:50:57Z,2021-09-22T14:58:43Z,MEMBER,"Change of plan - use my personal zoom room instead (as I don't think I have permissions to start the xarray one):

https://columbiauniversity.zoom.us/j/97399260034?pwd=WS9GUnVrcG1YSWRPeXhITXRhdEJZUT09

Also unless anyone has a problem I'm going to record the meeting, just for note-taking purposes. (EDIT: I'll just take notes as the meeting goes on instead)

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,956103236
https://github.com/pydata/xarray/issues/5648#issuecomment-924099831,https://api.github.com/repos/pydata/xarray/issues/5648,924099831,IC_kwDOAMm_X843FKT3,35968931,2021-09-21T15:27:23Z,2021-09-21T16:39:17Z,MEMBER,"TOMORROW: So there is just one slot when essentially everyone said they were free - but it's 11:00am EDT September 22nd, i.e. tomorrow morning.

I appreciate that's late notice - but could we can try for that and if we only get the super keen beans attending this time then we woud still be able to have a useful initial discussion about the exact problems that need resolving?

Alternatively if people could react to this comment with thumbs up / down for ""that time is still good"" / ""no I need more notice"" then that would be useful.

@mrocklin are you or anyone else who is able to speak for dask free? I noticed that @jacobtomlinson put down that you were free tomorrow also?

EDIT: @keewis I'm pinging you too","{""total_count"": 9, ""+1"": 9, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,956103236
https://github.com/pydata/xarray/issues/5648#issuecomment-924142481,https://api.github.com/repos/pydata/xarray/issues/5648,924142481,IC_kwDOAMm_X843FUuR,35968931,2021-09-21T16:17:10Z,2021-09-21T16:17:10Z,MEMBER,"> Surprisingly I happen to be free tomorrow at exactly that time.

Great! I sent an invite to the few people whose emails I could easily find - let me know if that didn't arrive @mrocklin .

> Maybe too soon to ask, but do we have a link to the video call?

I think we can probably just use the one we use for the [xarray bi-weekly dev meetings](https://github.com/pydata/xarray/issues/4001):

https://us02web.zoom.us/j/88251613296?pwd=azZsSkU1UWJZTVFKNnhIUVdZcENUZz09","{""total_count"": 1, ""+1"": 1, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,956103236
https://github.com/pydata/xarray/issues/5648#issuecomment-920104235,https://api.github.com/repos/pydata/xarray/issues/5648,920104235,IC_kwDOAMm_X842160r,35968931,2021-09-15T15:05:56Z,2021-09-15T15:05:56Z,MEMBER,"Apologies for the long delay, but I would like to try to organise this meeting for some time in the next few weeks. If you are interested could you please fill out this [When2Meet meeting time poll](https://www.when2meet.com/?12888573-1TQNs). (If none of these times work for you because of time zone issues or something then please say so!) It would be great to have lots of libraries represented.

[Agenda doc here](https://docs.google.com/document/d/1SIHECqe18Cp9WOe8dbGH8bnpPeraOd4IvNB1cRsntys/edit?usp=sharing) - I will come back to this in more detail soon, but if you have specific things you would like to discuss then please add them.

","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,956103236
https://github.com/pydata/xarray/issues/5648#issuecomment-890182857,https://api.github.com/repos/pydata/xarray/issues/5648,890182857,IC_kwDOAMm_X841DxzJ,35968931,2021-07-30T22:00:30Z,2021-07-30T22:00:30Z,MEMBER,"> NumPy masked arrays (??)

Tagging @greglucas because of his work on https://github.com/numpy/numpy/pull/16022#issuecomment-888495182 - at least I think a very common desired use case of multi-nested arrays would be `xarray(pint(dask(np.masked))`.","{""total_count"": 2, ""+1"": 2, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,956103236
https://github.com/pydata/xarray/issues/5648#issuecomment-889952277,https://api.github.com/repos/pydata/xarray/issues/5648,889952277,IC_kwDOAMm_X841C5gV,35968931,2021-07-30T15:01:58Z,2021-07-30T15:01:58Z,MEMBER,"Thanks to everyone ho has expressed interest already! I'll give some more time for responses before starting to think about potential meeting times.

> There probably isn't much to say though - PyTorch is unlikely to adopt __array_function__ at this point, just like JAX.

Interesting - could you say a bit more? Looking at these two issues, it seemed more like the question was simply on hold until someone who wanted it badly enough came along?

https://github.com/google/jax/issues/1565

https://github.com/pytorch/pytorch/issues/22402

(I'm interested because I'm in the set of people who have an ambition to use these libraries (wrapped in xarray) at some point further down the line, but that might remain just an ambition :sweat_smile:)

> The key thing here seems to be Dask <-> Xarray <-> Pint, unless I'm missing something?

You're right, that was the primary motivation for this issue, but it also seemed like a good opportunity to get as many libraries talking (and their relationships codified) as possible, especially if one of the outcomes ends up being a type casting hierarchy resource/NEP.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,956103236