pull_requests: 433605313
This data as json
| id | node_id | number | state | locked | title | user | body | created_at | updated_at | closed_at | merged_at | merge_commit_sha | assignee | milestone | draft | head | base | author_association | auto_merge | repo | url | merged_by |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 433605313 | MDExOlB1bGxSZXF1ZXN0NDMzNjA1MzEz | 4149 | closed | 0 | speed up map_blocks | 14808389 | I'm not sure if I broke something, but this is what I would suggest to use instead of putting xarray objects into an object array. The list of arguments is normally far less than 100 elements, so using python for that should not be a problem. Edit: we're back to a more reasonable 6 minutes for the CI (the build itself takes about 3 minutes) - [x] might close #4147 - [ ] Tests added - [x] Passes `isort -rc . && black . && mypy . && flake8` - [ ] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API | 2020-06-12T10:41:35Z | 2020-06-12T15:22:23Z | 2020-06-12T15:03:20Z | 2020-06-12T15:03:20Z | 59a239710e0510f0cad28c7a521d8827a6633c36 | 0 | 6f12b72b7d204443b38417000ae17f9820390adf | 8f688ea92ae8416ecc3e18f6e060dad16960e9ac | MEMBER | 13221727 | https://github.com/pydata/xarray/pull/4149 |
Links from other tables
- 0 rows from pull_requests_id in labels_pull_requests