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- Support for duck Dask Arrays · 8 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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663121190 | https://github.com/pydata/xarray/issues/4208#issuecomment-663121190 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY2MzEyMTE5MA== | jthielen 3460034 | 2020-07-23T17:01:44Z | 2020-07-23T17:03:20Z | CONTRIBUTOR |
That's exactly what's been done in Pint (see https://github.com/hgrecco/pint/pull/1129)! @dcherian's points go beyond just that and address what Pint hasn't covered yet through the standard collection interface. |
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Support for duck Dask Arrays 653430454 | |
657152588 | https://github.com/pydata/xarray/issues/4208#issuecomment-657152588 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY1NzE1MjU4OA== | jthielen 3460034 | 2020-07-12T00:19:53Z | 2020-07-12T00:19:53Z | CONTRIBUTOR |
Only indirectly, since this deals with duck Dask arrays (things like Pint that go between xarray and Dask) rather than Dask chunks, which CuPy would be. But, once this, #4212, https://github.com/hgrecco/pint/issues/964, and https://github.com/dask/dask/pull/6393 are all in place, then we can test if xarray( pint( dask( cupy ))) works automatically from it all or not. |
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Support for duck Dask Arrays 653430454 | |
657135521 | https://github.com/pydata/xarray/issues/4208#issuecomment-657135521 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY1NzEzNTUyMQ== | dopplershift 221526 | 2020-07-11T21:49:36Z | 2020-07-11T21:49:54Z | CONTRIBUTOR | Does/should any of this also consider #4212 (CuPy)? |
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Support for duck Dask Arrays 653430454 | |
656250148 | https://github.com/pydata/xarray/issues/4208#issuecomment-656250148 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY1NjI1MDE0OA== | jthielen 3460034 | 2020-07-09T17:17:34Z | 2020-07-10T17:47:16Z | CONTRIBUTOR | Based on @mrocklin's comment in https://github.com/dask/dask/issues/6385, the plan will be to check for duck Dask Arrays with |
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Support for duck Dask Arrays 653430454 | |
656358719 | https://github.com/pydata/xarray/issues/4208#issuecomment-656358719 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY1NjM1ODcxOQ== | jthielen 3460034 | 2020-07-09T21:24:42Z | 2020-07-09T21:26:37Z | CONTRIBUTOR | @rpmanser That sounds like a good plan to me at least, but it would be great if any of the xarray maintainers would be able to chime in. Also, thanks again for being willing to work on this while I try working on https://github.com/dask/dask/issues/4583. The hidden 4th step is of course testing--primarily that this doesn't break existing functionality, but also that it works for duck Dask Arrays other than Dask Arrays themselves (not sure if Pint Quantities in upcoming v0.15 or a mocked class would be better). Also, thank you @dcherian for pointing out those checks, you found them faster than I did! |
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Support for duck Dask Arrays 653430454 | |
656349279 | https://github.com/pydata/xarray/issues/4208#issuecomment-656349279 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY1NjM0OTI3OQ== | rpmanser 19578931 | 2020-07-09T21:01:07Z | 2020-07-09T21:01:07Z | CONTRIBUTOR | I can go ahead with putting together a PR for this. Before I do so, I'd like to clarify what is expected.
I searched for existing duck array checks in xarray and nothing immediately obvious to me is showing up. It looks like a check for |
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Support for duck Dask Arrays 653430454 | |
656119415 | https://github.com/pydata/xarray/issues/4208#issuecomment-656119415 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY1NjExOTQxNQ== | jthielen 3460034 | 2020-07-09T13:13:43Z | 2020-07-09T13:13:43Z | CONTRIBUTOR |
Since Pint wraps Dask, in order to leverage Dask Array functionality on Pint Quantities, we need to have the Dask collection interface available. In a sense, Pint needs special handling for Dask like xarray Variables do since they both can be upcast types of Dask Array. Implicitly passing through attributes (how Pint handles special methods/attributes of downcast types in general) from the wrapped Dask Array is not sufficient, however, because the finalizers have to rewrap with Quantity (see https://github.com/hgrecco/pint/pull/1129/files#diff-d9924213798d0fc092b8cff13928d747R1947-R1950), hence the explicit awareness of Dask being needed in Pint.
Done! See https://github.com/dask/dask/issues/6385. |
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Support for duck Dask Arrays 653430454 | |
655817246 | https://github.com/pydata/xarray/issues/4208#issuecomment-655817246 | https://api.github.com/repos/pydata/xarray/issues/4208 | MDEyOklzc3VlQ29tbWVudDY1NTgxNzI0Ng== | jthielen 3460034 | 2020-07-08T23:57:36Z | 2020-07-08T23:59:28Z | CONTRIBUTOR |
That would be a straightforward solution to both problems! A Pint Quantity containing a Dask Array passes along the chunks attribute from the Dask Array, and a Pint Quantity containing something else will raise an AttributeError. Unless there are other objections, I'll see what it will take to swap out the existing Dask checks for this in the xarray internals and hopefully get around to a PR (after I get some MetPy stuff done first). |
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