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  • PseudoNetCDF tests failing randomly · 2 ✖

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  • CONTRIBUTOR · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
578259713 https://github.com/pydata/xarray/issues/3711#issuecomment-578259713 https://api.github.com/repos/pydata/xarray/issues/3711 MDEyOklzc3VlQ29tbWVudDU3ODI1OTcxMw== barronh 1191149 2020-01-24T19:06:34Z 2020-01-24T19:06:34Z CONTRIBUTOR

Let me know if you need my input, but I think the testcase solution is more general than PseudoNetCDF.

 
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   PseudoNetCDF tests failing randomly 552896124
576848923 https://github.com/pydata/xarray/issues/3711#issuecomment-576848923 https://api.github.com/repos/pydata/xarray/issues/3711 MDEyOklzc3VlQ29tbWVudDU3Njg0ODkyMw== barronh 1191149 2020-01-21T19:46:14Z 2020-01-21T19:46:14Z CONTRIBUTOR

I want to make sure I understand the genesis of the error. My guess is that if you added a print(k) statement, you'd see that this is failing on the VGLVLS attribute. Is that right?

If so, I'm guessing the error is that VGLVLS is not a scalar. NetCDF files and uamiv files may have attributes with values. This is the case for VGLVLS in the IOAPI format, which uamiv is made to emulate.

As a result, compatible is an array not a scalar. A simple solution would be to wrap compatible in a call to all.

Can you confirm which attribute this is failing on and what the value of compatible is when it fails?

 
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   PseudoNetCDF tests failing randomly 552896124

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