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  • shoyer · 4 ✖

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506997136 https://github.com/pydata/xarray/pull/2942#issuecomment-506997136 https://api.github.com/repos/pydata/xarray/issues/2942 MDEyOklzc3VlQ29tbWVudDUwNjk5NzEzNg== shoyer 1217238 2019-06-30T00:34:57Z 2019-06-30T00:34:57Z MEMBER

This is subsumed by https://github.com/pydata/xarray/pull/3040

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  Fix rolling operation with dask and bottleneck 440900618
504774733 https://github.com/pydata/xarray/pull/2942#issuecomment-504774733 https://api.github.com/repos/pydata/xarray/issues/2942 MDEyOklzc3VlQ29tbWVudDUwNDc3NDczMw== shoyer 1217238 2019-06-23T18:14:07Z 2019-06-23T18:14:07Z MEMBER

@fujiisoup yes, indeed, that's a much better temporary fix! See https://github.com/pydata/xarray/pull/3040.

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  Fix rolling operation with dask and bottleneck 440900618
504058696 https://github.com/pydata/xarray/pull/2942#issuecomment-504058696 https://api.github.com/repos/pydata/xarray/issues/2942 MDEyOklzc3VlQ29tbWVudDUwNDA1ODY5Ng== shoyer 1217238 2019-06-20T14:56:11Z 2019-06-20T14:56:11Z MEMBER

I did a little more looking into this, and I unfortunately I think the necessary fix is a little more involved. For now, I think we should disable rolling() with dask arrays to avoid computing incorrect results: https://github.com/pydata/xarray/issues/2940#issuecomment-504058279

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  Fix rolling operation with dask and bottleneck 440900618
490128835 https://github.com/pydata/xarray/pull/2942#issuecomment-490128835 https://api.github.com/repos/pydata/xarray/issues/2942 MDEyOklzc3VlQ29tbWVudDQ5MDEyODgzNQ== shoyer 1217238 2019-05-07T15:28:12Z 2019-05-07T15:28:12Z MEMBER

@fujiisoup, thanks for looking into this! Unfortunately these tests still seem to still be failing on Travis.

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  Fix rolling operation with dask and bottleneck 440900618

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