sha,message,author_date,committer_date,raw_author,raw_committer,repo,author,committer
13c09dc28ec8ff791c6d87e2d8e80c362c65ffd4,"Fixed dask.optimize on datasets (#4438)

* Fixed dask.optimize on datasets

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`).

* Update whats-new.rst

* Update doc/whats-new.rst

Co-authored-by: Deepak Cherian <dcherian@users.noreply.github.com>
Co-authored-by: Maximilian Roos <5635139+max-sixty@users.noreply.github.com>",2020-09-20T05:21:56Z,2020-09-20T05:21:56Z,414a3ca56e5eb92bdfc6b3cac35417bf5ba51f54,cd792325681cbad9f663f2879d8b69f1edbb678f,13221727,1312546,19864447
9a8a62ba551e737dc87e39aded2f7cc788ff118d,"Fix optimize for chunked DataArray (#4432)

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/blame/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.

Closes https://github.com/pydata/xarray/issues/3698

Co-authored-by: Maximilian Roos <5635139+max-sixty@users.noreply.github.com>",2020-09-17T23:19:22Z,2020-09-17T23:19:22Z,414a3ca56e5eb92bdfc6b3cac35417bf5ba51f54,cd792325681cbad9f663f2879d8b69f1edbb678f,13221727,1312546,19864447
e1dafe676812409834ccac3418ecf47600b00615,Fix map_blocks example (#4305),2020-08-04T03:38:50Z,2020-08-04T03:38:50Z,414a3ca56e5eb92bdfc6b3cac35417bf5ba51f54,cd792325681cbad9f663f2879d8b69f1edbb678f,13221727,1312546,19864447
5200a182f324be21423fd2f8214b8ef04b5845ce,"Update map_blocks and map_overlap docstrings (#4303)

This reference an `obj` argument that only exists in parallel. The
object being referenced is actually `self`.",2020-08-03T18:06:10Z,2020-08-03T18:06:10Z,414a3ca56e5eb92bdfc6b3cac35417bf5ba51f54,cd792325681cbad9f663f2879d8b69f1edbb678f,13221727,1312546,19864447
cafcaeea897894e3a2f44a38bd33c50a48c86215,"Fix map_blocks HLG layering (#3598)

* Fix map_blocks HLG layering

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.

* update

* black

* update",2019-12-07T04:30:18Z,2019-12-07T04:30:18Z,414a3ca56e5eb92bdfc6b3cac35417bf5ba51f54,0c7e9e762dbfd6554e60c953bf27493047d95109,13221727,1312546,2448579
ec255eba7cce749c25e1d7b6f0a7fc537ff61841,Update asv.conf.json (#2693),2019-01-19T17:45:19Z,2019-01-19T17:45:19Z,414a3ca56e5eb92bdfc6b3cac35417bf5ba51f54,f10b21bed2846b879806f87039b77245b18e7671,13221727,1312546,1217238
8e541deca2e20efe080aa1bca566d9966ea2f244,"Added show_commit_url to asv.conf (#1515)

* Added show_commit_url to asv.conf

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.

* Update asv.conf.json",2017-08-23T16:01:49Z,2017-08-23T16:01:49Z,414a3ca56e5eb92bdfc6b3cac35417bf5ba51f54,5f199557d0f8f69fbea5e027a407146e2669a812,13221727,1312546,