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id ▼ node_id number state locked title user body created_at updated_at closed_at merged_at merge_commit_sha assignee milestone draft head base author_association auto_merge repo url merged_by
656897924 MDExOlB1bGxSZXF1ZXN0NjU2ODk3OTI0 5397 closed 0 Add type checking when concat thomashirtz 37740986 Pull related to the issue [5051](https://github.com/pydata/xarray/issues/5051) (I was not so sure about the Error message, please check if it is acceptable) - [ ] Closes #5051 - [ ] Passes `pre-commit run --all-files` 2021-05-28T18:19:20Z 2021-06-01T20:06:32Z 2021-06-01T20:06:32Z   96a89cd87c156c0b7b5085b2eee45a1140fafd3c     0 6abb2403d22fffe23d853432b6889ddf4c3300c2 2b38adc1bdd1dd97934fb061d174149c73066f19 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/5397  
659312221 MDExOlB1bGxSZXF1ZXN0NjU5MzEyMjIx 5425 closed 0 Error concat dataset and dataarray thomashirtz 37740986 I inadvertently closed the [first ](https://github.com/pydata/xarray/pull/5397)PR Pull related to the issue [5051](https://github.com/pydata/xarray/issues/5051) - [x] Closes #5051 - [x] Passes `pre-commit run --all-files` 2021-06-01T20:12:24Z 2021-06-08T16:00:53Z 2021-06-04T22:05:30Z 2021-06-04T22:05:29Z 9a7ab2b4a57d4e74e8e60d52427178ee25458648     0 e8cdc45b6e76098e783bdda3c233cbe48b752130 83eda1a8542a9dbd81bf0e08c8564c044df64c0a CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/5425  
671744630 MDExOlB1bGxSZXF1ZXN0NjcxNzQ0NjMw 5477 open 0 Fix issue tuple as dimension thomashirtz 37740986 I edited dataset in core to try to solve the [issue 4821](https://github.com/pydata/xarray/issues/4821). Some tests are still currently missing, also I believe there is still one more issue related to using tuple as dim. The code `xr.Dataset({"a": ([("a", "b")], [1])})` does not error yet. - [ ] Closes [#4821](https://github.com/pydata/xarray/issues/4821) - [ ] Tests added - [x] Passes `pre-commit run --all-files` - [ ] User visible changes (including notable bug fixes) are documented in `whats-new.rst` 2021-06-16T18:01:47Z 2022-11-22T14:22:33Z     3fa4a7aceb192fa0ffecce5bc81604d95c8cc075     0 befae3a3755dc152254ea2a9427daf7c58159027 d1e4164f3961d7bbb3eb79037e96cae14f7182f8 CONTRIBUTOR   xarray 13221727 https://github.com/pydata/xarray/pull/5477  

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CREATE TABLE [pull_requests] (
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [number] INTEGER,
   [state] TEXT,
   [locked] INTEGER,
   [title] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [body] TEXT,
   [created_at] TEXT,
   [updated_at] TEXT,
   [closed_at] TEXT,
   [merged_at] TEXT,
   [merge_commit_sha] TEXT,
   [assignee] INTEGER REFERENCES [users]([id]),
   [milestone] INTEGER REFERENCES [milestones]([id]),
   [draft] INTEGER,
   [head] TEXT,
   [base] TEXT,
   [author_association] TEXT,
   [auto_merge] TEXT,
   [repo] INTEGER REFERENCES [repos]([id]),
   [url] TEXT,
   [merged_by] INTEGER REFERENCES [users]([id])
);
CREATE INDEX [idx_pull_requests_merged_by]
    ON [pull_requests] ([merged_by]);
CREATE INDEX [idx_pull_requests_repo]
    ON [pull_requests] ([repo]);
CREATE INDEX [idx_pull_requests_milestone]
    ON [pull_requests] ([milestone]);
CREATE INDEX [idx_pull_requests_assignee]
    ON [pull_requests] ([assignee]);
CREATE INDEX [idx_pull_requests_user]
    ON [pull_requests] ([user]);