issue_comments: 1524332001
This data as json
| 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/7764#issuecomment-1524332001 | https://api.github.com/repos/pydata/xarray/issues/7764 | 1524332001 | IC_kwDOAMm_X85a23Xh | 1197350 | 2023-04-27T00:56:21Z | 2023-04-27T00:56:21Z | MEMBER | Is there ever a case where it would be preferable to use numpy if opt_einsum were installed? If not, I would propose that, like bottleneck, we just automatically use it if available. |
{
"total_count": 1,
"+1": 1,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
1672288892 |