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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
336371511 MDExOlB1bGxSZXF1ZXN0MTk3ODQwODgw 2255 Add automatic chunking to open_rasterio mrocklin 306380 closed 0     10 2018-06-27T20:15:07Z 2022-04-07T20:21:24Z 2022-04-07T20:21:24Z MEMBER   0 pydata/xarray/pulls/2255

This uses the automatic chunking in dask 0.18+ to chunk rasterio datasets in a nicely aligned way.

Currently this doesn't implement tests due to a difficulty in creating chunked tiff images.

This also uncovered some inefficiencies in how Dask doesn't align rechunking to existing chunk schemes.

  • [x] Closes #2093
  • [ ] Tests added (for all bug fixes or enhancements)
  • [ ] Tests passed (for all non-documentation changes)
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)

I could use help on how the following:

  • How to create tiled TIFF files in the tests
  • The right way to merge different dtypes and block shapes in the tiff file. Currently I'm assuming that they're uniform
 
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     xarray 13221727 pull
390443869 MDExOlB1bGxSZXF1ZXN0MjM4MjA5ODI1 2603 Support HighLevelGraphs mrocklin 306380 closed 0     2 2018-12-12T22:52:28Z 2018-12-13T17:13:10Z 2018-12-13T17:13:00Z MEMBER   0 pydata/xarray/pulls/2603

Fixes https://github.com/dask/dask/issues/4291

  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API
 
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372640063 MDExOlB1bGxSZXF1ZXN0MjI0NzY5Mjg1 2500 Avoid use of deprecated get= parameter in tests mrocklin 306380 closed 0     7 2018-10-22T18:25:58Z 2018-10-23T10:31:37Z 2018-10-23T00:22:51Z MEMBER   0 pydata/xarray/pulls/2500
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)
 
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296434660 MDExOlB1bGxSZXF1ZXN0MTY4NjIyOTM3 1904 Replace task_state with tasks in dask test mrocklin 306380 closed 0     4 2018-02-12T16:19:14Z 2018-02-12T21:08:06Z 2018-02-12T21:08:06Z MEMBER   0 pydata/xarray/pulls/1904

This internal state was changed in the latest release

  • [x] Closes #1903 (remove if there is no corresponding issue, which should only be the case for minor changes)
  • [ ] Tests added (for all bug fixes or enhancements)
  • [x] Tests passed (for all non-documentation changes)
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)
 
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     xarray 13221727 pull
276448264 MDExOlB1bGxSZXF1ZXN0MTU0NDI5ODYz 1741 Auto flake mrocklin 306380 closed 0     2 2017-11-23T18:00:47Z 2018-01-14T20:49:20Z 2018-01-14T20:49:20Z MEMBER   0 pydata/xarray/pulls/1741
  • [ ] Closes #xxxx
  • [x] Tests added / passed
  • [ ] Passes flake8 xarray
  • [ ] Fully documented, including whats-new.rst for all changes and api.rst for new API

I had a free half hour so I decided to run autoflake and autopep8 tools on the codebase. flake8 xarray passes. I copied over the exclusions that we use within dask/distributed and extended the line length to 120. You may wish to review these decisions. 

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     xarray 13221727 pull
279198672 MDExOlB1bGxSZXF1ZXN0MTU2MzQwNDk3 1760 Fix DataArray.__dask_scheduler__ to point to dask.threaded.get mrocklin 306380 closed 0     8 2017-12-05T00:12:21Z 2017-12-07T22:13:42Z 2017-12-07T22:09:18Z MEMBER   0 pydata/xarray/pulls/1760

Previously this erroneously pointed to an optimize function, likely a copy-paste error.

For testing this also redirects the .compute methods to use the dask.compute function directly if dask.version >= '0.16.0'.

Closes #1759

  • [x] Closes #xxxx (remove if there is no corresponding issue, which should only be the case for minor changes)
  • [x] Tests added (for all bug fixes or enhancements)
  • [x] Tests passed (for all non-documentation changes)
  • [x] Passes git diff upstream/master **/*py | flake8 --diff (remove if you did not edit any Python files)
  • [x] Fully documented, including whats-new.rst for all changes and api.rst for new API (remove if this change should not be visible to users, e.g., if it is an internal clean-up, or if this is part of a larger project that will be documented later)
 
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     xarray 13221727 pull
269886091 MDExOlB1bGxSZXF1ZXN0MTQ5NzMxMDM5 1674 Support Dask interface mrocklin 306380 closed 0     12 2017-10-31T09:15:52Z 2017-11-07T18:37:06Z 2017-11-07T18:31:45Z MEMBER   0 pydata/xarray/pulls/1674

This integrates the new dask interface methods into XArray. This will place XArray as a first-class dask collection and help in particular with newer dask.distributed features.

Builds on work from @jcrist here: https://github.com/dask/dask/pull/2748 Depends on https://github.com/dask/dask/pull/2847

 
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218942553 MDExOlB1bGxSZXF1ZXN0MTEzOTM2OTk3 1349 Add persist method to DataSet mrocklin 306380 closed 0     10 2017-04-03T13:59:02Z 2017-04-04T16:19:20Z 2017-04-04T16:14:17Z MEMBER   0 pydata/xarray/pulls/1349

Fixes https://github.com/pydata/xarray/issues/1344

  • [x] closes #xxxx
  • [x] tests added / passed
  • [x] passes git diff upstream/master | flake8 --diff
  • [x] whatsnew entry (not sure what to do here, is there a new section? It looks like the last release was yesterday)
 
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     xarray 13221727 pull

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