issue_comments: 413775977
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/2370#issuecomment-413775977 | https://api.github.com/repos/pydata/xarray/issues/2370 | 413775977 | MDEyOklzc3VlQ29tbWVudDQxMzc3NTk3Nw== | 1217238 | 2018-08-17T06:58:21Z | 2018-08-17T06:58:21Z | MEMBER | There has been discussion about changing this condo-forge dependencies for xarray: https://github.com/conda-forge/xarray-feedstock/issues/5. Bottleneck definitely isn’t a true required dependency. Does it work to simply specify an explicit dtype in the sum? I also wonder if it’s really worth the hassle of using bottleneck here, given these numerical precision issues and how it can’t be used with cask. But I do think it still probably offers a meaningful speedup in many cases.... |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
351000813 |