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,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,,13221727,https://github.com/pydata/xarray/pull/1515, 246048071,MDExOlB1bGxSZXF1ZXN0MjQ2MDQ4MDcx,2693,closed,0,Update asv.conf.json,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,,13221727,https://github.com/pydata/xarray/pull/2693, 349609437,MDExOlB1bGxSZXF1ZXN0MzQ5NjA5NDM3,3598,closed,0,Fix map_blocks HLG layering,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,,13221727,https://github.com/pydata/xarray/pull/3598, 462276410,MDExOlB1bGxSZXF1ZXN0NDYyMjc2NDEw,4303,closed,0,Update map_blocks and map_overlap docstrings,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,,13221727,https://github.com/pydata/xarray/pull/4303, 462346718,MDExOlB1bGxSZXF1ZXN0NDYyMzQ2NzE4,4305,closed,0,Fix map_blocks examples,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,,13221727,https://github.com/pydata/xarray/pull/4305, 488908129,MDExOlB1bGxSZXF1ZXN0NDg4OTA4MTI5,4432,closed,0,Fix optimize for chunked DataArray,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. - [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,,13221727,https://github.com/pydata/xarray/pull/4432, 489549321,MDExOlB1bGxSZXF1ZXN0NDg5NTQ5MzIx,4438,closed,0,Fixed dask.optimize on datasets,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`). - [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,,13221727,https://github.com/pydata/xarray/pull/4438, 768360740,PR_kwDOAMm_X84tzEEk,5906,closed,0,Avoid accessing slow .data in unstack,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,,13221727,https://github.com/pydata/xarray/pull/5906,