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- support dask arrays in rolling computations using bottleneck functions · 3 ✖
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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329535413 | https://github.com/pydata/xarray/pull/1568#issuecomment-329535413 | https://api.github.com/repos/pydata/xarray/issues/1568 | MDEyOklzc3VlQ29tbWVudDMyOTUzNTQxMw== | jhamman 2443309 | 2017-09-14T16:24:03Z | 2017-09-14T16:24:03Z | MEMBER | any final comments here? |
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support dask arrays in rolling computations using bottleneck functions 256912384 | |
329068071 | https://github.com/pydata/xarray/pull/1568#issuecomment-329068071 | https://api.github.com/repos/pydata/xarray/issues/1568 | MDEyOklzc3VlQ29tbWVudDMyOTA2ODA3MQ== | jhamman 2443309 | 2017-09-13T06:03:59Z | 2017-09-13T06:03:59Z | MEMBER |
@shoyer - I'm not exactly sure how to do this consistently throughout the package. In d532a1f I removed the warning and we fall back to numpy silently. Here's some ideas of what we could do:
I'm actually leaning toward 2 right now. We don't enforce strict minimum versions on other dependencies so it seems like what we're trying to do may be a bit overkill. |
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support dask arrays in rolling computations using bottleneck functions 256912384 | |
328750128 | https://github.com/pydata/xarray/pull/1568#issuecomment-328750128 | https://api.github.com/repos/pydata/xarray/issues/1568 | MDEyOklzc3VlQ29tbWVudDMyODc1MDEyOA== | jhamman 2443309 | 2017-09-12T06:21:33Z | 2017-09-12T06:21:33Z | MEMBER | I went ahead and changed the bottleneck version. It really cleans up the all the rolling methods and the testing so I think this is an overall nice change. |
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support dask arrays in rolling computations using bottleneck functions 256912384 |
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