issue_comments: 667255046
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/pull/4155#issuecomment-667255046 | https://api.github.com/repos/pydata/xarray/issues/4155 | 667255046 | MDEyOklzc3VlQ29tbWVudDY2NzI1NTA0Ng== | 1053153 | 2020-07-31T17:56:15Z | 2020-07-31T17:56:15Z | CONTRIBUTOR | Hi! This work is interesting to me, as I was implementing in dask an image processing algo which needs an intermediate 1-d linear interpolation step. This bottlenecks the calculation through a single node. Your work here on distributed interpolation is intriguing, and I'm wondering if it would be useful in my work and if it could possibly become part of dask itself. Here is the particular function, which you'll note has a dask.delayed wrapper around np.interp. |
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
638909879 |