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  • keewis · 2 ✖

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  • PseudoNetCDF tests failing randomly · 2 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
579882516 https://github.com/pydata/xarray/issues/3711#issuecomment-579882516 https://api.github.com/repos/pydata/xarray/issues/3711 MDEyOklzc3VlQ29tbWVudDU3OTg4MjUxNg== keewis 14808389 2020-01-29T17:59:52Z 2020-01-29T17:59:52Z MEMBER

I just noticed that this is not restricted to windows, this also randomly fails for other CI suites.

3728 fixes the formatting issue so now the cause of the errors should not be hidden anymore.

 
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   PseudoNetCDF tests failing randomly 552896124
577760478 https://github.com/pydata/xarray/issues/3711#issuecomment-577760478 https://api.github.com/repos/pydata/xarray/issues/3711 MDEyOklzc3VlQ29tbWVudDU3Nzc2MDQ3OA== keewis 14808389 2020-01-23T16:31:18Z 2020-01-23T16:46:38Z MEMBER

the dataset is from xarray/tests/data/example.uamiv and when opening it we can see that VGLVLS is indeed not a scalar: VGLVLS: [1. 0.]

While trying to reproduce the error, I noticed that the bit of code above does not get called unless expected.identical(actual) == False. This means we actually have two bugs: one that makes _diff_mapping_repr choke on non-scalar (ndarray?) attributes and should be easy to fix, and another one that to me seems random (look at the commits of #3706: the last two don't fail while https://github.com/pydata/xarray/pull/3706/commits/1e07dce4b8fd59057d22ae3d7884a1114c78e22a fails) and makes expected different from actual.

 
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   PseudoNetCDF tests failing randomly 552896124

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