issue_comments

Table actions

3 rows where author_association = "MEMBER", issue = 686495257 and user = 14808389 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

These facets timed out: author_association, issue

user 1

  • keewis · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
681987321 https://github.com/pydata/xarray/pull/4379#issuecomment-681987321 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTk4NzMyMQ== keewis 14808389 2020-08-27T14:32:46Z 2020-08-27T14:32:46Z MEMBER

actually, we should probably merge #4381 to fix the formatting.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use deepcopy recursively on numpy arrays 686495257
681103837 https://github.com/pydata/xarray/pull/4379#issuecomment-681103837 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTEwMzgzNw== keewis 14808389 2020-08-26T20:22:55Z 2020-08-26T20:22:55Z MEMBER

thanks for tracking this down. The easiest way to fix the test would be to decorate it with python pytest.mark.skipif(not IS_NEP18_ACTIVE, reason="requires NEP18") Even easier would be to bump numpy, but that doesn't seem to be possible right now.

We might also try to rewrite the condition to: python if ( hasattr(data, "__array_function__") or isinstance(data, dask_array_type) or (not IS_NEP18_ACTIVE and isinstance(data, np.ndarray)) ): data = copy.deepcopy(data)

Thoughts, @pydata/xarray?

 
{
    "total_count": 1,
    "+1": 1,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use deepcopy recursively on numpy arrays 686495257
681038709 https://github.com/pydata/xarray/pull/4379#issuecomment-681038709 https://api.github.com/repos/pydata/xarray/issues/4379 MDEyOklzc3VlQ29tbWVudDY4MTAzODcwOQ== keewis 14808389 2020-08-26T18:07:53Z 2020-08-26T18:07:53Z MEMBER

it seems that's a backwards compatibility issue with numpy: 1.15 fails while 1.19 works. I'm not sure in which version the fix was introduced, though

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Use deepcopy recursively on numpy arrays 686495257

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]);