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  • fbunt · 3 ✖

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  • Inverting Datasets or DataArrays with dask float data throws wrong ValueError instead of TypeError · 3 ✖

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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
1085167329 https://github.com/pydata/xarray/issues/6427#issuecomment-1085167329 https://api.github.com/repos/pydata/xarray/issues/6427 IC_kwDOAMm_X85Arlbh fbunt 7178572 2022-03-31T21:59:57Z 2022-03-31T21:59:57Z NONE

Sorry for not explaining it very well initially

 
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   Inverting Datasets or DataArrays with dask float data throws wrong ValueError instead of TypeError 1186949971
1085141253 https://github.com/pydata/xarray/issues/6427#issuecomment-1085141253 https://api.github.com/repos/pydata/xarray/issues/6427 IC_kwDOAMm_X85ArfEF fbunt 7178572 2022-03-31T21:32:17Z 2022-03-31T21:32:17Z NONE

@dcherian I am aware that floats are invalid for inverting but that isn't the issue I'm raising. I think XArray should throw a TypeError for this case, like Numpy does. Currently it throws a ValueError indicating something is wrong with the variable dimensions. This is confusing and goes against the contract.

 
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   Inverting Datasets or DataArrays with dask float data throws wrong ValueError instead of TypeError 1186949971
1083600343 https://github.com/pydata/xarray/issues/6427#issuecomment-1083600343 https://api.github.com/repos/pydata/xarray/issues/6427 IC_kwDOAMm_X85Alm3X fbunt 7178572 2022-03-30T20:36:14Z 2022-03-30T20:42:48Z NONE

It looks like this happens because f(self.variable.data, ...) in DataArray._unary_op returns NotImplemented which the rest of the machinery doesn't know how to handle. Specifically dask.array.Array.__invert__ returns NotImplemented when the dtype is float.

 
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   Inverting Datasets or DataArrays with dask float data throws wrong ValueError instead of TypeError 1186949971

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