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- update numpy version requirement · 2 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1206383107 | https://github.com/pydata/xarray/issues/6875#issuecomment-1206383107 | https://api.github.com/repos/pydata/xarray/issues/6875 | IC_kwDOAMm_X85H5_ID | smoors 7092865 | 2022-08-05T12:20:09Z | 2022-08-05T12:20:09Z | NONE |
yes, especially people like me who do central software installations in a HPC cluster (for example with EasyBuild) and who want to have full control over the package versions that are installed (which is essential for scientific reproducibility). this is indeed a small minority, but note that a lot of people are using our centrally installed packages. |
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update numpy version requirement 1328259769 | |
| 1205334996 | https://github.com/pydata/xarray/issues/6875#issuecomment-1205334996 | https://api.github.com/repos/pydata/xarray/issues/6875 | IC_kwDOAMm_X85H1_PU | smoors 7092865 | 2022-08-04T14:28:37Z | 2022-08-04T14:28:37Z | NONE |
indeed, I should have read the docs more carefully. it's a bit annoying though: from the requirements I expected that numpy 1.19 would provide full support for all methods that xarray provides. maybe you could add a comment to the setup.cfg file along the lines of "recommended numpy version >= 1.22" to better indicate this? I am not a direct user of this package, I just install it for our HPC users, but your suggestions to improve the error message and docs seem good to me. |
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update numpy version requirement 1328259769 |
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