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/3796#issuecomment-598961142,https://api.github.com/repos/pydata/xarray/issues/3796,598961142,MDEyOklzc3VlQ29tbWVudDU5ODk2MTE0Mg==,14808389,2020-03-13T22:44:34Z,2020-03-13T22:46:35Z,MEMBER,"due to the work of the RTD maintainers, our builds pass again. However, trying to build `stable` still fails, but instead of a memory error we get a sphinx failure: https://readthedocs.org/projects/xray/builds/10609593/

I think we already fixed that in master?

Also, we might want to switch back to the `latest` image in `readthedocs.yml`?","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,570190199
https://github.com/pydata/xarray/issues/3796#issuecomment-594277675,https://api.github.com/repos/pydata/xarray/issues/3796,594277675,MDEyOklzc3VlQ29tbWVudDU5NDI3NzY3NQ==,2448579,2020-03-04T02:03:19Z,2020-03-04T02:03:19Z,MEMBER,No luck with pinned versions and the stable build image: https://readthedocs.org/projects/xray/builds/10547287/,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,570190199
https://github.com/pydata/xarray/issues/3796#issuecomment-590923828,https://api.github.com/repos/pydata/xarray/issues/3796,590923828,MDEyOklzc3VlQ29tbWVudDU5MDkyMzgyOA==,14808389,2020-02-25T15:28:11Z,2020-02-25T15:28:11Z,MEMBER,"yeah, that would probably be the way forward. See #3697 for more discussion.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,570190199
https://github.com/pydata/xarray/issues/3796#issuecomment-590920738,https://api.github.com/repos/pydata/xarray/issues/3796,590920738,MDEyOklzc3VlQ29tbWVudDU5MDkyMDczOA==,868027,2020-02-25T15:22:29Z,2020-02-25T15:22:29Z,CONTRIBUTOR,"The docs seem to build ok on Azure piplines, is it possible to get the built docs from that and publish somewhere? I do know this is possible with [Travis](https://docs.travis-ci.com/user/deployment/pages/), but haven't actually done it myself since my docs don't (yet?) have a memory problem.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,570190199
https://github.com/pydata/xarray/issues/3796#issuecomment-590896434,https://api.github.com/repos/pydata/xarray/issues/3796,590896434,MDEyOklzc3VlQ29tbWVudDU5MDg5NjQzNA==,14808389,2020-02-25T14:34:38Z,2020-02-25T14:56:09Z,MEMBER,"I tried it, but it still fails: https://readthedocs.org/projects/xray/builds/10502148/ We can't use `pip` directly since `cartopy` does not upload wheels and I'd expect the source install to fail.

If we look at the issue tracker of RTD, we can see a lot of issues regarding memory errors, so maybe this is a general issue with `conda` (when using `conda-forge`) and RTD.

Edit: seems I have to conda-install `cf-units` since otherwise it would need to be built on install.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,570190199
https://github.com/pydata/xarray/issues/3796#issuecomment-590729551,https://api.github.com/repos/pydata/xarray/issues/3796,590729551,MDEyOklzc3VlQ29tbWVudDU5MDcyOTU1MQ==,10194086,2020-02-25T07:46:55Z,2020-02-25T07:46:55Z,MEMBER,"This did indeed work for my project (regionmask), https://github.com/mathause/regionmask/blob/master/docs/environment_rtd.yml","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,570190199
https://github.com/pydata/xarray/issues/3796#issuecomment-590603313,https://api.github.com/repos/pydata/xarray/issues/3796,590603313,MDEyOklzc3VlQ29tbWVudDU5MDYwMzMxMw==,14808389,2020-02-24T23:35:22Z,2020-02-24T23:35:22Z,MEMBER,we could try moving everything except `cartopy` to the `pip` section in the environment file (`iris` is `scitools-iris` on PyPI). That seems to reduce the maximum memory consumption quite a bit (the `conda-forge` channel has grown almost too much).,"{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",,570190199