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  • keewis · 4 ✖

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  • RTD failing yet again · 4 ✖

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598961142 https://github.com/pydata/xarray/issues/3796#issuecomment-598961142 https://api.github.com/repos/pydata/xarray/issues/3796 MDEyOklzc3VlQ29tbWVudDU5ODk2MTE0Mg== keewis 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?

 
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   RTD failing yet again 570190199
590923828 https://github.com/pydata/xarray/issues/3796#issuecomment-590923828 https://api.github.com/repos/pydata/xarray/issues/3796 MDEyOklzc3VlQ29tbWVudDU5MDkyMzgyOA== keewis 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.

 
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   RTD failing yet again 570190199
590896434 https://github.com/pydata/xarray/issues/3796#issuecomment-590896434 https://api.github.com/repos/pydata/xarray/issues/3796 MDEyOklzc3VlQ29tbWVudDU5MDg5NjQzNA== keewis 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.

 
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   RTD failing yet again 570190199
590603313 https://github.com/pydata/xarray/issues/3796#issuecomment-590603313 https://api.github.com/repos/pydata/xarray/issues/3796 MDEyOklzc3VlQ29tbWVudDU5MDYwMzMxMw== keewis 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).

 
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   RTD failing yet again 570190199

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