issue_comments: 517400198

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https://github.com/pydata/xarray/pull/3117#issuecomment-517400198 https://api.github.com/repos/pydata/xarray/issues/3117 517400198 MDEyOklzc3VlQ29tbWVudDUxNzQwMDE5OA== 1217238 2019-08-01T18:14:38Z 2019-08-01T18:14:38Z MEMBER

2. Operations not supported by the duck type. This happens in a few cases with pydata/sparse, and would have to be solved upstream, unless it's a special case where it might be okay to coerce. e.g. what happens with binary operations that mix array types?

This is totally fine for now, as long as there are clear errors when attempting to do an unsupported operation. We can write unit tests with expected failures, which should provide a clear roadmap for things to fix upstream in sparse.

We could attempt to define a minimum required implementation, but in practice I suspect this will be hard to nail down definitively. The ultimate determinant of what works will be xarray's implementation.

 
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