issues: 1058047751
This data as json
| id | node_id | number | title | user | state | locked | assignee | milestone | comments | created_at | updated_at | closed_at | author_association | active_lock_reason | draft | pull_request | body | reactions | performed_via_github_app | state_reason | repo | type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1058047751 | PR_kwDOAMm_X84uv1d0 | 6007 | Use condas dask-core in ci instead of dask to speedup ci and reduce dependencies | 12237157 | closed | 0 | 1 | 2021-11-19T02:02:41Z | 2021-11-28T21:01:36Z | 2021-11-28T04:40:34Z | CONTRIBUTOR | 0 | pydata/xarray/pulls/6007 |
Tried to reduce dependencies from installing dask via conda which installs like pip install dask[complete]. dask-core is like pip install dask. https://github.com/xgcm/xhistogram/pull/71#discussion_r752738286 Why? dask[complete] includes bokeh etc which are not needed here and likely speed up CI setup/install times but now dask and dask-core are conda installed :( seems like iris installs dask https://github.com/conda-forge/iris-feedstock/blob/master/recipe/meta.yaml, so this would require an iris-feedstock PR first linking https://github.com/SciTools/iris/pull/4434 and https://github.com/conda-forge/iris-feedstock/pull/77 |
{
"url": "https://api.github.com/repos/pydata/xarray/issues/6007/reactions",
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
13221727 | pull |