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3 rows where "created_at" is on date 2023-03-27 and user = 2448579 sorted by updated_at descending
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id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at ▲ | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
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1642301775 | PR_kwDOAMm_X85M-3H- | 7684 | Automatically chunk `other` in GroupBy binary ops. | dcherian 2448579 | closed | 0 | 2 | 2023-03-27T15:15:22Z | 2023-07-28T03:12:20Z | 2023-07-27T16:41:33Z | MEMBER | 0 | pydata/xarray/pulls/7684 |
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xarray 13221727 | pull | |||||
1642299599 | I_kwDOAMm_X85h44DP | 7683 | automatically chunk in groupby binary ops | dcherian 2448579 | closed | 0 | 0 | 2023-03-27T15:14:09Z | 2023-07-27T16:41:35Z | 2023-07-27T16:41:34Z | MEMBER | What happened?From https://discourse.pangeo.io/t/xarray-unable-to-allocate-memory-how-to-size-up-problem/3233/4 Consider ``` python ds is dataset with big dask arraysmean = ds.groupby("time.day").mean() mean.to_netcdf() mean = xr.open_dataset(...) ds.groupby("time.day") - mean ``` In we will eagerly construct What did you expect to happen?I think the only solution is to automatically chunk if Minimal Complete Verifiable ExampleNo response MVCE confirmation
Relevant log outputNo response Anything else we need to know?No response Environment |
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completed | xarray 13221727 | issue | ||||||
1642317716 | I_kwDOAMm_X85h48eU | 7685 | Add welcome bot? | dcherian 2448579 | closed | 0 | 6 | 2023-03-27T15:24:25Z | 2023-04-06T01:55:55Z | 2023-04-06T01:55:55Z | MEMBER | Is your feature request related to a problem?Given all the outreachy interest (and perhaps just in general) it may be nice to enable a welcome bot like on the Jupyter repos Describe the solution you'd likeNo response Describe alternatives you've consideredNo response Additional contextNo response |
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completed | xarray 13221727 | issue |
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