home / github

Menu
  • Search all tables
  • GraphQL API

pull_requests

Table actions
  • GraphQL API for pull_requests

8 rows where user = 1312546

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date), closed_at (date), merged_at (date)

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
136845216 MDExOlB1bGxSZXF1ZXN0MTM2ODQ1MjE2 1515 closed 0 Added show_commit_url to asv.conf TomAugspurger 1312546 This should setup the proper links from the published output to the commit on Github. FYI the benchmarks should be running stably now, and posted to http://pandas.pydata.org/speed/xarray. http://pandas.pydata.org/speed/xarray/regressions.xml has an RSS feed to the regressions. 2017-08-21T21:17:10Z 2017-08-23T16:01:50Z 2017-08-23T16:01:50Z 2017-08-23T16:01:50Z 8e541deca2e20efe080aa1bca566d9966ea2f244     0 d95d8c49bc06d448123916f33895a74910c0cd6b f9464fd74d49b2d89bf973a810b7e78720304989 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1515  
246048071 MDExOlB1bGxSZXF1ZXN0MjQ2MDQ4MDcx 2693 closed 0 Update asv.conf.json TomAugspurger 1312546 Is xarray 3.5+ now? Congrats, I didn't realize that. This started failing the benchmark machine, which I was tending to last night. 2019-01-19T13:45:51Z 2019-01-19T19:42:48Z 2019-01-19T17:45:20Z 2019-01-19T17:45:20Z ec255eba7cce749c25e1d7b6f0a7fc537ff61841     0 067bbc7c7e92dba61dbde00220ffc75a2d63fbde 385b36cdd34431b4f6f14aad1f222f989e7e2de2 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2693  
349609437 MDExOlB1bGxSZXF1ZXN0MzQ5NjA5NDM3 3598 closed 0 Fix map_blocks HLG layering TomAugspurger 1312546 [x] closes #3599 This fixes an issue with the HighLevelGraph noted in https://github.com/pydata/xarray/pull/3584, and exposed by a recent change in Dask to do more HLG fusion. cc @dcherian. 2019-12-05T19:41:23Z 2019-12-07T04:30:19Z 2019-12-07T04:30:19Z 2019-12-07T04:30:19Z cafcaeea897894e3a2f44a38bd33c50a48c86215     0 0ea4ff84efecee4e788a7cb188dc461c3aba9f91 87a25b64898c94ea1e2a2e7a06d31ef602b116bf MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3598  
462276410 MDExOlB1bGxSZXF1ZXN0NDYyMjc2NDEw 4303 closed 0 Update map_blocks and map_overlap docstrings TomAugspurger 1312546 This reference an `obj` argument that only exists in parallel. The object being referenced is actually `self`. 2020-08-03T16:27:45Z 2020-08-03T18:35:43Z 2020-08-03T18:06:10Z 2020-08-03T18:06:10Z 5200a182f324be21423fd2f8214b8ef04b5845ce     0 d519422d601a32cfaee15341396cda944412df63 f99c6cca2df959df3db3c57592db97287fd28f15 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4303  
462346718 MDExOlB1bGxSZXF1ZXN0NDYyMzQ2NzE4 4305 closed 0 Fix map_blocks examples TomAugspurger 1312546 The examples on master raised with ```pytb ValueError: Result from applying user function has unexpected coordinate variables {'month'}. ``` This PR updates the example to include the `month` coordinate. `pytest --doctest-modules` passes on these three now. 2020-08-03T19:06:58Z 2020-08-04T07:27:08Z 2020-08-04T03:38:51Z 2020-08-04T03:38:51Z e1dafe676812409834ccac3418ecf47600b00615     0 127883d539553b773f73bdd7471be1a2987ef7d3 5200a182f324be21423fd2f8214b8ef04b5845ce MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4305  
488908129 MDExOlB1bGxSZXF1ZXN0NDg4OTA4MTI5 4432 closed 0 Fix optimize for chunked DataArray TomAugspurger 1312546 Previously we generated in invalidate Dask task graph, becuase the lines removed here dropped keys that were referenced elsewhere in the task graph. The original implementation had a comment indicating that this was to cull: https://github.com/pydata/xarray/blob/502a988ad5b87b9f3aeec3033bf55c71272e1053/xarray/core/variable.py#L384 Just spot-checking things, I think we're OK here though. Something like `dask.visualize(arr[[0]], optimize_graph=True)` indicates that we're OK. <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #3698 - [x] Tests added - [x] Passes `isort . && black . && mypy . && flake8` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] New functions/methods are listed in `api.rst` 2020-09-17T20:16:08Z 2020-09-18T13:20:45Z 2020-09-17T23:19:23Z 2020-09-17T23:19:23Z 9a8a62ba551e737dc87e39aded2f7cc788ff118d     0 381aaf8cc37502907506011f8cb9f4149e229d2d b0d8d93665dbb6d28e33dfd28ad27036c20c60bf MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4432  
489549321 MDExOlB1bGxSZXF1ZXN0NDg5NTQ5MzIx 4438 closed 0 Fixed dask.optimize on datasets TomAugspurger 1312546 Another attempt to fix #3698. The issue with my fix in is that we hit `Variable._dask_finalize` in both `dask.optimize` and `dask.persist`. We want to do the culling of unnecessary tasks (`test_persist_Dataset`) but only in the persist case, not optimize (`test_optimize`). <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #3698 - [x] Tests added - [x] Passes `isort . && black . && mypy . && flake8` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` 2020-09-18T21:30:17Z 2020-09-20T05:21:58Z 2020-09-20T05:21:58Z 2020-09-20T05:21:57Z 13c09dc28ec8ff791c6d87e2d8e80c362c65ffd4     0 8c501dfb560635465f769ccef79cfff9db1fd9d7 0c26211566d620b2f81dd79c15f8afcc37faacbc MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4438  
768360740 PR_kwDOAMm_X84tzEEk 5906 closed 0 Avoid accessing slow .data in unstack TomAugspurger 1312546 - [x] Closes https://github.com/pydata/xarray/issues/5902 - [x] Passes `pre-commit run --all-files` - [x] User visible changes (including notable bug fixes) are documented in `whats-new.rst` - [x] New functions/methods are listed in `api.rst` 2021-10-28T13:39:36Z 2021-10-29T15:29:39Z 2021-10-29T15:14:43Z 2021-10-29T15:14:43Z b2ed62e95e452894dfd0a0aa156c3c7b0236c257     0 6363a761c62605bcf3552cacce1c48d5b543eeca c210f8b9e3356590ee0d4e25dbb21b93cf7a5309 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/5906  

Advanced export

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

CSV options:

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]);
Powered by Datasette · Queries took 1360.228ms · About: xarray-datasette