issue_comments: 521771614
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| html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| https://github.com/pydata/xarray/issues/3222#issuecomment-521771614 | https://api.github.com/repos/pydata/xarray/issues/3222 | 521771614 | MDEyOklzc3VlQ29tbWVudDUyMTc3MTYxNA== | 1217238 | 2019-08-15T19:45:08Z | 2019-08-15T19:45:08Z | MEMBER |
Yikes, we should fix this. It has not been hard to ensure that older version of NumPy and pandas work. The key thing is CI tests that verify things as PR goes in. If work-arounds for old versions are hard, then we bump minimum required dependencies. Probably the best place to start would be adding a CI build with pinned versions of the oldest required versions that works today, and then looking if there are simple fixes that will let us downgrade project like dask. It's not worth a huge effort, but it's not very user friendly for everything to broken with old versions of optional dependencies either. |
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