issues
2 rows where "updated_at" is on date 2023-09-13 and user = 43316012 sorted by updated_at descending
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| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1620317764 | PR_kwDOAMm_X85L1Yr2 | 7612 | Fix `pcolormesh` with str coords | headtr1ck 43316012 | closed | 0 | 4 | 2023-03-12T10:50:35Z | 2023-09-13T18:48:08Z | 2023-03-16T18:55:30Z | COLLABORATOR | 0 | pydata/xarray/pulls/7612 |
|
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xarray 13221727 | pull | |||||
| 1581313830 | PR_kwDOAMm_X85Jy8wm | 7523 | allow refreshing of backends | headtr1ck 43316012 | closed | 0 | 4 | 2023-02-12T16:07:05Z | 2023-09-13T18:46:56Z | 2023-03-31T15:14:56Z | COLLABORATOR | 0 | pydata/xarray/pulls/7523 |
Don't know yet how to effectively test this, I guess there is some tricky solution with some mocking. |
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xarray 13221727 | pull |
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CREATE TABLE [issues] (
[id] INTEGER PRIMARY KEY,
[node_id] TEXT,
[number] INTEGER,
[title] TEXT,
[user] INTEGER REFERENCES [users]([id]),
[state] TEXT,
[locked] INTEGER,
[assignee] INTEGER REFERENCES [users]([id]),
[milestone] INTEGER REFERENCES [milestones]([id]),
[comments] INTEGER,
[created_at] TEXT,
[updated_at] TEXT,
[closed_at] TEXT,
[author_association] TEXT,
[active_lock_reason] TEXT,
[draft] INTEGER,
[pull_request] TEXT,
[body] TEXT,
[reactions] TEXT,
[performed_via_github_app] TEXT,
[state_reason] TEXT,
[repo] INTEGER REFERENCES [repos]([id]),
[type] TEXT
);
CREATE INDEX [idx_issues_repo]
ON [issues] ([repo]);
CREATE INDEX [idx_issues_milestone]
ON [issues] ([milestone]);
CREATE INDEX [idx_issues_assignee]
ON [issues] ([assignee]);
CREATE INDEX [idx_issues_user]
ON [issues] ([user]);