issue_comments

Table actions

4 rows where issue = 482543307 and user = 85085 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: reactions, created_at (date), updated_at (date)

user 1

  • tomwhite · 4 ✖

issue 1

  • Use pytorch as backend for xarrays · 4 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1190162973 https://github.com/pydata/xarray/issues/3232#issuecomment-1190162973 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85G8HId tomwhite 85085 2022-07-20T11:35:03Z 2022-07-20T11:35:03Z CONTRIBUTOR

I think it can't be tested with pytorch until they compete pytorch/pytorch#58743, right?

It needs __array_namespace__ to be defined to activate the new code path.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use pytorch as backend for xarrays 482543307
1189941650 https://github.com/pydata/xarray/issues/3232#issuecomment-1189941650 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85G7RGS tomwhite 85085 2022-07-20T07:45:39Z 2022-07-20T07:45:39Z CONTRIBUTOR

Hi @hsharrison - thanks for offering to do some testing. Here's a little demo script that you could try, by switching numpy.array_api to pytorch: https://github.com/tomwhite/xarray/commit/929812a12818ffaa1187eb860c9b61e3fc03973c

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use pytorch as backend for xarrays 482543307
1187007032 https://github.com/pydata/xarray/issues/3232#issuecomment-1187007032 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85GwEo4 tomwhite 85085 2022-07-18T10:04:29Z 2022-07-18T10:04:29Z CONTRIBUTOR

Opened #6804

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use pytorch as backend for xarrays 482543307
1182978725 https://github.com/pydata/xarray/issues/3232#issuecomment-1182978725 https://api.github.com/repos/pydata/xarray/issues/3232 IC_kwDOAMm_X85GgtKl tomwhite 85085 2022-07-13T09:18:51Z 2022-07-13T09:18:51Z CONTRIBUTOR

I started having a look at making xarray work with the array API here: https://github.com/tomwhite/xarray/commit/c72a1c4a4c52152bdab83f60f35615de28e8be7f. Some basic operations work (preserving the underlying array): https://github.com/tomwhite/xarray/commit/929812a12818ffaa1187eb860c9b61e3fc03973c. If there's interest, I'd be happy to turn this into a PR with some tests.

 
{
    "total_count": 4,
    "+1": 4,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use pytorch as backend for xarrays 482543307

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);