issue_comments: 1340744559
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/7363#issuecomment-1340744559 | https://api.github.com/repos/pydata/xarray/issues/7363 | 1340744559 | IC_kwDOAMm_X85P6iNv | 8382834 | 2022-12-07T10:38:45Z | 2022-12-07T10:39:10Z | CONTRIBUTOR | Good point that a timeseries is usually ordered already (and that the corresponding type should support comparison / weak ordering), but I wonder (only speculating): is it possible that xarray makes no assumptions of this kind, to be as general as possible (not all xarray datasets are timeseries :) ), in which case there may or may not be a dichotomy search under the hood? |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
1479121713 |