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81029307 MDExOlB1bGxSZXF1ZXN0ODEwMjkzMDc= 963 closed 0 Align broadcast crusaderky 6213168 - Removed partial_align() - Added exclude and indexes optional parameters to align() public API - Added exclude optional parameter to broadcast() public API - Added various unit tests to check that align() and broadcast() do not perform needless data copies - broadcast() to automatically align inputs Note: there is a failed unit test, TestDataset.test_broadcast_nocopy, which shows broadcast on dataset doing a data copy whereas it shouldn't. Could you look into it? 2016-08-11T20:55:29Z 2016-08-20T20:22:03Z 2016-08-14T23:24:15Z 2016-08-14T23:24:15Z 56abba54ca4e89af570fd9cacc8f3ffcf5a5c4c7     0 1a5c21f1496acb83c4cbd21ce455dc3583fcc585 9fe2aff89494f0f268dc98bcb549246837d0ae89 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/963  
82087855 MDExOlB1bGxSZXF1ZXN0ODIwODc4NTU= 977 closed 0 sync to upstream crusaderky 6213168   2016-08-20T19:53:31Z 2016-08-20T19:53:53Z 2016-08-20T19:53:53Z         0 b359503ecae7469b4526c5df3958a46ef6392f62 584e70378c64e3fa861e5b4b4fd61d21639661c6 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/977  
86657767 MDExOlB1bGxSZXF1ZXN0ODY2NTc3Njc= 1018 closed 0 Disabled auto-caching on dask; new .compute() method crusaderky 6213168 Disabled auto-caching dask arrays when pickling and when invoking the .values property. Added new method .compute() to Variable, DataArray and Dataset. 2016-09-25T18:14:51Z 2016-10-01T11:08:49Z 2016-10-01T11:02:13Z   dbbe4cf50c7ba6e3c4e2e4df40139da42c193fea     0 91b808460b3d1eb0e9182e30bacaeb8a5944b76e 525e086097171aa8a904d54ea2ee8dc76f2a69ef MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1018  
87517333 MDExOlB1bGxSZXF1ZXN0ODc1MTczMzM= 1022 closed 0 Dask broadcast crusaderky 6213168 Applying broadcast() to an xarray object based on the dask backend won't accidentally convert the array from dask to numpy anymore 2016-09-30T15:41:33Z 2016-10-01T11:07:40Z 2016-09-30T16:52:52Z   fd97e8e1cd03a6f0877a0d14e8444ecd77de4608     0 f0758dc4b8fb79d3fa8b532bebf6ad8cab070d89 fbb4f0618eade20981bd5cfb9771b82fd88a8db5 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1022  
87528837 MDExOlB1bGxSZXF1ZXN0ODc1Mjg4Mzc= 1023 closed 0 Applying broadcast() to an xarray object based on the dask backend wo… crusaderky 6213168 …n't accidentally convert the array from dask to numpy anymore 2016-09-30T16:52:42Z 2016-10-01T11:02:14Z 2016-09-30T18:02:27Z 2016-09-30T18:02:27Z 525e086097171aa8a904d54ea2ee8dc76f2a69ef     0 be5d79cb5874135096b9155bf7a91c340791a6e9 fbb4f0618eade20981bd5cfb9771b82fd88a8db5 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1023  
87599100 MDExOlB1bGxSZXF1ZXN0ODc1OTkxMDA= 1024 closed 0 Disable automatic cache with dask crusaderky 6213168 Disabled auto-caching on dask; new .compute() method Fixes #902 2016-10-01T11:08:24Z 2016-11-16T19:33:08Z 2016-11-14T16:56:44Z 2016-11-14T16:56:44Z d66f673ab25fe0fc0483bd5d67479fc94a14e46d     0 376200a48e642b1a8097085eee3f47a1792b3787 95bca6297ce28ec256910344cab27f67938c8f46 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1024  
93876116 MDExOlB1bGxSZXF1ZXN0OTM4NzYxMTY= 1124 closed 0 full_like, zeros_like, ones_like crusaderky 6213168 New top-level functions. Fixes #1102 2016-11-16T00:10:03Z 2016-12-09T20:37:28Z 2016-11-28T03:42:39Z 2016-11-28T03:42:39Z a306252c80c337279348ba69ddd2800e05af4a6f     0 e974c2e94064180d87b70f2835781e39f95b660a 1936ea39f22333bd5fd766d125429ba1cab37f1e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1124  
137960410 MDExOlB1bGxSZXF1ZXN0MTM3OTYwNDEw 1532 closed 0 Avoid computing dask variables on __repr__ and __getattr__ crusaderky 6213168 - [x] Fixes #1522 - [x] Tests added / passed - [x] Passes ``git diff upstream/master | flake8 --diff`` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API Stop dataset data vars and non-index dataset/dataarray coords from being loaded by repr() and getattr(). The latter is particularly acute when working in Jupyter, which does a dozen or so getattr() when printing an object. 2017-08-28T14:37:20Z 2017-09-21T22:30:02Z 2017-09-21T20:55:43Z 2017-09-21T20:55:43Z 7611ed9b678c4004855856d2ec6dc6eb7ac59123   0.10 2415632 0 7b1b265f803c0a409501dec711762db5f7eb52af 31921fad66698c167b4fe9049963c8bea3fb33ca MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1532  
139029731 MDExOlB1bGxSZXF1ZXN0MTM5MDI5NzMx 1551 closed 0 Load nonindex coords ahead of concat() crusaderky 6213168 - [x] Closes #1521 - [x] Tests added / passed - [x] Passes ``git diff upstream/master | flake8 --diff`` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2017-09-02T23:19:03Z 2017-10-09T23:32:50Z 2017-10-09T21:15:31Z 2017-10-09T21:15:31Z 14b5f1ca84b41696b7e8e3ec5e07d8064acc9a55   0.10 2415632 0 2f80cef14d0ede182e9521c096f37f88a4e69488 772f7e0564430169afcd1afb4ae869bcc0f9d0c9 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1551  
142761325 MDExOlB1bGxSZXF1ZXN0MTQyNzYxMzI1 1589 closed 0 Fix concat of mixed numpy and dask arrays crusaderky 6213168 - [x] Closes #1588 - [x] Tests added / passed - [x] Passes ``git diff upstream/master | flake8 --diff`` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2017-09-24T16:48:12Z 2017-10-09T20:55:41Z 2017-09-25T00:55:36Z 2017-09-25T00:55:35Z 3a91442afe2a805b6aea5a3b9be3f72eb7245354     0 1a082db2f6869124af6f5b63158abe69d508cf62 dc7d733bcc10ce935304d65d03124471661243a3 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1589  
142762908 MDExOlB1bGxSZXF1ZXN0MTQyNzYyOTA4 1590 closed 0 Dataset.copy() to preserve encoding crusaderky 6213168 - [x] Closes #1586 - [x] Tests added / passed - [x] Passes ``git diff upstream/master | flake8 --diff`` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2017-09-24T17:33:39Z 2017-10-09T20:55:56Z 2017-10-08T16:01:20Z 2017-10-08T16:01:20Z 772f7e0564430169afcd1afb4ae869bcc0f9d0c9     0 ac9cdc52ced62d3655e1757234872d85de10a447 5bd40151fd92e4342c43ba7cd6039e63e1611812 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1590  
169512255 MDExOlB1bGxSZXF1ZXN0MTY5NTEyMjU1 1915 closed 0 h5netcdf new API support crusaderky 6213168 Closes #1536 Support arbitrary compression plugins through the h5netcdf new API. Done: - public API and docstrings (untested) - implementation - unit tests - What's New 2018-02-15T23:15:55Z 2018-05-11T23:49:00Z 2018-05-08T02:25:40Z 2018-05-08T02:25:40Z c6977f18341e3872ba69360045ee3ef8212eb1bf     0 9a5101245c36f0e9fb2176e5366ba9e46e9b4f87 98373f0a1e38fee04e6d9737a1483b878f949f82 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/1915  
184746182 MDExOlB1bGxSZXF1ZXN0MTg0NzQ2MTgy 2089 closed 0 xarray.dot is now based on da.einsum crusaderky 6213168 Closes #2074 Requires dask >= 0.17.3 2018-04-27T23:09:32Z 2018-05-04T21:51:01Z 2018-05-04T21:51:00Z 2018-05-04T21:51:00Z 98373f0a1e38fee04e6d9737a1483b878f949f82     0 e55239a75f8ea8664c06856bc534ae6d0f59f1c7 c42cbe787d530db48575d73fe7a3910b0a0e4fd8 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2089  
186113739 MDExOlB1bGxSZXF1ZXN0MTg2MTEzNzM5 2106 closed 0 xarray.dot to pass **kwargs to einsum crusaderky 6213168 Late addition to #2089 2018-05-04T22:01:04Z 2018-05-17T13:54:41Z 2018-05-14T21:06:38Z 2018-05-14T21:06:38Z 218ad549a25fb30b836aabdfdda412450fdc9585     0 ac316db8e3e3ee3ffaf973441b29de488209164a d63001cdbc3bd84f4d6d90bd570a2215ea9e5c2e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2106  
188769951 MDExOlB1bGxSZXF1ZXN0MTg4NzY5OTUx 2150 closed 0 WIP: Fix regression in to_netcdf encoding parameter crusaderky 6213168 Fixes #2149 DONE: unit tests triggering the issue. The new tests are all successful against 0.10.3. TODO: actual bugfix 2018-05-17T15:09:16Z 2018-06-02T10:06:11Z 2018-06-02T10:06:11Z   53f99b0b324f4437b3bc724727eab5ffb73ac429     0 00ddd49932e7b602977a7384a9080839f3247d3a 0a766b38de1d11f4c3110b267db72cb73e238d07 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2150  
192192060 MDExOlB1bGxSZXF1ZXN0MTkyMTkyMDYw 2212 closed 0 Trivial documentation fix crusaderky 6213168   2018-06-02T10:47:20Z 2018-06-07T23:49:44Z 2018-06-02T12:15:33Z 2018-06-02T12:15:33Z 69c9c45bf7a9d572200c4649605a5875e96b650c     0 4c73b5c4ec12e580897944b3e11a4afc5295aa9e 1e6984b247a08c5c98baa808dcc7552eb1c372a0 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2212  
268152820 MDExOlB1bGxSZXF1ZXN0MjY4MTUyODIw 2877 closed 0 WIP: type annotations crusaderky 6213168 Fixes #2869 2019-04-08T00:55:31Z 2019-04-24T14:54:07Z 2019-04-10T18:41:50Z 2019-04-10T18:41:50Z 3fb22cbf86e49be4a444fa062350bf7570abd6da     0 81701abda565edee8904ec21e2451fc21b235476 e7ec0870b15114b0443c28bf7e32d42717808c98 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2877  
274455843 MDExOlB1bGxSZXF1ZXN0Mjc0NDU1ODQz 2929 closed 0 Typing for DataArray/Dataset crusaderky 6213168 Status: * I'm generally not pleased with the amount of added verbosity. Happy to accept suggestions on how to improve. * Switching all variable names from str to Hashable. Without proper unit tests however (out of scope) non-string hashables are expected not to work most of the times. My preference would still be to stay limited on str... * DataArray done. * Dataset not done (except where it was hindering DataArray). * mypy passes with the only error ``"Mapping[...]" has no attribute "copy"``. This is due to the fact that I can't see a way to use ``typing.OrderedDict`` without breaking compatibility with python < 3.7.2. * py.test should be successful @shoyer any early feedback is appreciated 2019-04-29T17:19:35Z 2019-06-30T10:08:39Z 2019-06-25T22:03:40Z 2019-06-25T22:03:40Z d3f6db9d1eee54b51d2b0cd9a0a01a411d2148b7     0 cbe0e7b3b7c97837c327a4e720f58ef945e7a0dc b054c317f86639cd3b889a96d77ddb3798f8584e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2929  
277331241 MDExOlB1bGxSZXF1ZXN0Mjc3MzMxMjQx 2950 closed 0 Base classes in Python 3 don't need to subclass object crusaderky 6213168 <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-05-09T10:14:38Z 2019-07-09T20:06:21Z 2019-05-09T16:01:37Z 2019-05-09T16:01:37Z 24d49fcd723f20b09998c302dc6003b8de69e595     0 c88b4a325e493433723c1a32c0d258fbf7174ae0 c04234d4892641e1da89e47c7164cdcf5e4777a4 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/2950  
293101841 MDExOlB1bGxSZXF1ZXN0MjkzMTAxODQx 3065 closed 0 kwargs.pop() cleanup crusaderky 6213168 - Clean up everywhere the pattern ``` def my_func(*args, **kwargs): my_optional_arg = kwargs.pop('my_optional_arg', None) ``` which was inherited from not being able to put named keyword arguments after ``*args`` in Python 2. - Fix bug in SplineInterpolator where the ``__init__`` method would write to the class attributes of BaseInterpolator. - ``map_dataarray`` was unintentionally and subtly relying on ``_process_cmap_cbar_kwargs`` to modify the kwargs in place. ``_process_cmap_cbar_kwargs`` is now strictly read-only and the modifications in kwargs have been made explicit in the caller function. - Rename all 'kwds' to 'kwargs' for sake of coherency 2019-06-30T12:47:07Z 2019-07-09T20:06:13Z 2019-07-01T01:58:50Z 2019-07-01T01:58:50Z 406c16263f9854bda88f92308611b1a586551761     0 74ed80e6200a829db6cb6669ae4e3ad153a589c3 2b3489b9ac91f1567aaa94c9fdbdc8fd617cda79 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3065  
295088231 MDExOlB1bGxSZXF1ZXN0Mjk1MDg4MjMx 3088 closed 0 More annotations crusaderky 6213168 A little incremental addition to type annotations. By no means complete, but it should be ready for merge in its own right nonetheless. 2019-07-07T08:40:15Z 2019-07-09T20:04:37Z 2019-07-09T16:23:12Z 2019-07-09T16:23:11Z 681893ed96685052e5f5822cc867245aaf138b32     0 ca71e50fd186532b427a6cc5a8316a5107e5bf2a 23fc0d6f8a5affefb84e5f20dc0bef7ace4542e2 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3088  
295935786 MDExOlB1bGxSZXF1ZXN0Mjk1OTM1Nzg2 3090 closed 0 WIP: more annotations crusaderky 6213168   2019-07-09T22:02:44Z 2019-07-11T08:40:34Z 2019-07-11T04:20:56Z 2019-07-11T04:20:56Z 8f0d9e5c9909c93a90306ed7cb5a80c1c2e1c97d     0 e702376b0a5bca82b7fa0749424ec05cb6201813 681893ed96685052e5f5822cc867245aaf138b32 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3090  
296545208 MDExOlB1bGxSZXF1ZXN0Mjk2NTQ1MjA4 3093 closed 0 Increase minimum Python version to 3.5.3 crusaderky 6213168 Closes #3089 2019-07-11T09:12:02Z 2019-07-13T23:54:48Z 2019-07-13T21:58:31Z 2019-07-13T21:58:31Z f7e299f665dada1934e0f53d4294902103dcec74     0 d9b8e20b8928ecaa1b0442196a7fd7810b8f39d3 b3ba4ba5f9508e4b601d9cf5dbcd9024993adf37 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3093  
296645182 MDExOlB1bGxSZXF1ZXN0Mjk2NjQ1MTgy 3095 closed 0 Fix regression: IndexVariable.copy(deep=True) casts dtype=U to object crusaderky 6213168 - [x] Closes #3094 - [x] Tests added - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-07-11T13:16:16Z 2019-08-02T14:37:52Z 2019-08-02T14:02:50Z 2019-08-02T14:02:50Z dba85bdfc1ac311349bbfcabccb02a71747a97b2     0 da45c3b7c902b19cff83b5c9a7df22ff31490e2a 1757dffac2fa493d7b9a074b84cf8c830a706688 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3095  
297340512 MDExOlB1bGxSZXF1ZXN0Mjk3MzQwNTEy 3112 closed 0 More annotations in Dataset crusaderky 6213168   2019-07-13T19:06:49Z 2019-08-01T10:41:51Z 2019-07-31T17:48:00Z 2019-07-31T17:48:00Z 1757dffac2fa493d7b9a074b84cf8c830a706688     0 7a36ff55bd7af922bad9578044cb1fd54e555722 1d7bcbdc75b6d556c04e2c7d7a042e4379e15303 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3112  
303294911 MDExOlB1bGxSZXF1ZXN0MzAzMjk0OTEx 3173 closed 0 Fix distributed.Client.compute applied to DataArray crusaderky 6213168 <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #3171 - [x] Tests added - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-08-01T09:22:39Z 2019-08-02T05:04:51Z 2019-08-01T21:43:11Z 2019-08-01T21:43:11Z 7b76f163394a35c9cd8013e835e9d0b2050fd9a6     0 5299aa754f581c82a29e3af55bf8acc5cada2ffe 1757dffac2fa493d7b9a074b84cf8c830a706688 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3173  
303818887 MDExOlB1bGxSZXF1ZXN0MzAzODE4ODg3 3177 closed 0 More annotations crusaderky 6213168   2019-08-02T14:49:50Z 2019-08-09T08:50:13Z 2019-08-06T01:19:36Z 2019-08-06T01:19:36Z d1935ffd24fd83e9b5a1347aed11773da03c878e     0 816e13cb273d35739d85e14a6708e5248a7c064b dba85bdfc1ac311349bbfcabccb02a71747a97b2 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3177  
305062350 MDExOlB1bGxSZXF1ZXN0MzA1MDYyMzUw 3190 closed 0 pyupgrade one-off run crusaderky 6213168 A one-off, manually vetted and tweaked run of pyupgrade 2019-08-07T09:32:57Z 2019-08-09T08:50:22Z 2019-08-07T17:26:01Z 2019-08-07T17:26:01Z 8a9c4710b2ee389a41e08a665108aca05ef02544     0 58121fa5e584cccb85c4fe25bfc3f608a5c9c55d 1ab7569561db50eaccbae977b0ef69993e0c0d0c MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3190  
305907396 MDExOlB1bGxSZXF1ZXN0MzA1OTA3Mzk2 3196 closed 0 One-off isort run crusaderky 6213168 A one-off, manually vetted and tweaked isort run 2019-08-09T09:17:39Z 2019-09-09T08:28:05Z 2019-08-23T20:33:04Z 2019-08-23T20:33:04Z 79dc7dc461c7540cc0b84a98543c6f7796c05268     0 be40d086c27d86bb1d94bfa214fa2ef012b3402d 76d4a6710a1e22c6af112d0c3f5a81a7b435448d MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3196  
305911806 MDExOlB1bGxSZXF1ZXN0MzA1OTExODA2 3197 closed 0 Enforce mypy compliance in CI crusaderky 6213168   2019-08-09T09:29:55Z 2019-08-11T08:49:02Z 2019-08-10T09:48:33Z 2019-08-10T09:48:33Z befc72f052a189c114695b4ae9a1c66533617336     0 c8aae3d605623e4f8939b7ae3e5936e354bb2d48 58001d72000b3d4a872cc63bd10a5b48d27658b2 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3197  
305975638 MDExOlB1bGxSZXF1ZXN0MzA1OTc1NjM4 3198 closed 0 Ignore example.grib.0112.idx crusaderky 6213168 ``open_dataset("<name>.grib", engine="cfgrib")`` creates a new file in the same directory called ``<name>.grib.<numbers>.idx`` 2019-08-09T12:47:12Z 2019-08-09T12:49:02Z 2019-08-09T12:48:08Z 2019-08-09T12:48:08Z c517bc3752384f68ff62a31e9bb799130e2eef8c     0 5769787a3771ac49d313199dae0c38c208cede09 d3f1ced1aa84cb0a0f3e47e7ee67492e203fcce5 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3198  
306273567 MDExOlB1bGxSZXF1ZXN0MzA2MjczNTY3 3202 closed 0 chunk sparse arrays crusaderky 6213168 Closes #3191 @shoyer I completely disabled wrapping in ImplicitToExplicitIndexingAdapter for sparse arrays, cupy arrays, etc. I'm not sure if it's desirable; the chief problem is that I don't think I understand the purpose of ImplicitToExplicitIndexingAdapter to begin with... some enlightenment would be appreciated. 2019-08-11T11:19:16Z 2019-08-12T21:02:31Z 2019-08-12T21:02:25Z 2019-08-12T21:02:24Z c782637ec2e4758de1ed63bbd36610cba1a57db8 crusaderky 6213168   0 38efffc3b152c2e9a4a34c4cf49bf60b5519b813 fc44bae87856a357e669a519915486f7e46733c1 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3202  
306274153 MDExOlB1bGxSZXF1ZXN0MzA2Mjc0MTUz 3203 closed 0 Match mypy version between CI and pre-commit hook crusaderky 6213168 Pre-commit hook is currently failing because of an issue detected by mypy 0.720 but not by mypy 0.650 2019-08-11T11:30:36Z 2019-08-12T21:03:11Z 2019-08-11T22:32:41Z 2019-08-11T22:32:41Z b0df4d901ad7625b0ffabc8d85775efaca9d2c2f     0 cb3fb8fcc2ba8e7a2ffd44fb11e7f17621765e81 097306bae06118d837c1cb57ac8cc11cbf87a972 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3203  
306448820 MDExOlB1bGxSZXF1ZXN0MzA2NDQ4ODIw 3207 closed 0 Annotations for .data_vars() and .coords() crusaderky 6213168   2019-08-12T11:08:45Z 2019-08-13T04:01:26Z 2019-08-12T20:49:02Z 2019-08-12T20:49:02Z 14f1a97dae777463bed7967aa1fcc2533d7f9107     0 c229086b8fb90866da6be24502fe17153fce6079 b0df4d901ad7625b0ffabc8d85775efaca9d2c2f MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3207  
310361933 MDExOlB1bGxSZXF1ZXN0MzEwMzYxOTMz 3250 closed 0 __slots__ crusaderky 6213168 What changes: - Most classes now define ``__slots__`` - removed ``_initialized`` property - Enforced checks that all subclasses must also define ``__slots__``. For third-party subclasses, this is for now a DeprecationWarning and should be changed into a hard crash later on. - 22% reduction in RAM usage - 5% performance speedup for a DataArray method that performs a ``_to_temp_dataset`` roundtrip **DISCUSS:** support for third party subclasses is very poor at the moment (#1097). Should we skip the deprecation altogether? Performance benchmark: ```python import timeit import psutil import xarray a = xarray.DataArray([1, 2], dims=['x'], coords={'x': [10, 20]}) RUNS = 10000 t = timeit.timeit("a.roll(x=1, roll_coords=True)", globals=globals(), number=RUNS) print("{:.0f} us".format(t / RUNS * 1e6)) p = psutil.Process() N = 100000 rss0 = p.memory_info().rss x = [ xarray.DataArray([1, 2], dims=['x'], coords={'x': [10, 20]}) for _ in range(N) ] rss1 = p.memory_info().rss print("{:.0f} bytes".format((rss1 - rss0) / N)) ``` Output: | test | env | master | slots | |:-------------:|:---:|:----------:| ----------:| | DataArray.roll | py35-min | 332 us | 360 us | | DataArray.roll | py37 | 354 us | 337 us | | RAM usage of a DataArray | py35-min | 2755 bytes | 2074 bytes | | RAM usage of a DataArray | py37 | 1970 bytes | 1532 bytes | The performance degradation on Python 3.5 is caused by the deprecation mechanism - see changes to common.py. I honestly never realised that xarray objects are measured in kilobytes (vs. 32 bytes of underlying buffers!) 2019-08-23T12:16:44Z 2019-08-30T12:13:28Z 2019-08-29T17:14:20Z 2019-08-29T17:14:20Z 41fecd8658ba50ddda0a52e04c21cec5e53415ac     0 3fc792074c681fe9265a74f83567694ed8e08c4b aaeea6250b89e3605ee1d1a160ad50d6ed657c7e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3250  
318808682 MDExOlB1bGxSZXF1ZXN0MzE4ODA4Njgy 3318 closed 0 Allow weakref crusaderky 6213168 <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #3317 - [x] Tests added - [x] Passes `black . && mypy . && flake8` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-09-18T13:19:09Z 2019-10-03T13:39:35Z 2019-09-18T15:53:51Z 2019-09-18T15:53:51Z fddced063b7ecbea6254dc1008bb4db15a5d9304     0 cda02a58ada386307dedc9499c3ae67c4994d847 fedc95ff760f1bb6a8325e318e548ceeae9900bf MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3318  
320980720 MDExOlB1bGxSZXF1ZXN0MzIwOTgwNzIw 3340 closed 0 CI environments overhaul crusaderky 6213168 Propaedeutic CI work to #3222. - py36 and py37 are now identical - Many optional dependencies were missing in one test suite or another (see details below) - Tests that require hypothesis now always run if hypothesis is installed - py37-windows.yml requirements file has been rebuilt starting from py37.yml - Sorted requirements files alphabetically for better maintainability - Added black. This is not needed by CI, but I personally use these yaml files to deploy my dev environment and I would expect many more developers to do the same. Alternatively, we could go the other way around and remove flake8 from everywhere and mypy from py36 and py37-windows. IMHO the marginal speedup would not be worth the complication. Added packages to py36.yml (net of changes in order): + black + hypothesis + nc-time-axis + numba + numbagg + pynio (https://github.com/pydata/xarray/issues/3154 seems to be now fixed upstream) + sparse Added packages to py37.yml (net of changes in order): + black + cdms2 + hypothesis + iris>=1.10 + numba (previously implicitly installed from pip by numbagg; now installed from conda) + pynio Added packages to py37-windows.yml (net of changes in order): + black + bottleneck + flake8 + hypothesis + iris>=1.10 + lxml + mypy==0.720 + numba + numbagg + pseudonetcdf>=3.0.1 + pydap + sparse 2019-09-24T22:01:10Z 2019-09-25T01:50:08Z 2019-09-25T01:40:55Z 2019-09-25T01:40:55Z 85c9a40c2dac6b83a687f97639f8abfe0ab17f46     0 552e5de42925fb5e10f7d937e36f4f7736dad55c e1183e8d75b5a46e08442b69f0b67cd187399a07 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3340  
321339215 MDExOlB1bGxSZXF1ZXN0MzIxMzM5MjE1 3346 closed 0 CI test suites with pinned minimum dependencies crusaderky 6213168 Second step towards resolving #3222. Added two suites of CI tests: - Pinned minimum versions for all optional dependencies, except NEP18-dependant ones - Pinned minimum versions for NEP18 optional dependencies - at the moment only sparse; soon also pint (#3238) **All versions are the frozen snapshot of what py36.yml deploys today**. This PR ensures that we won't have accidental breakages _from this moment on_. I made no effort to try downgrading to sensible obsolete versions, as that would require a completely different order of magnitude of work. I would suggest to proceed with the downgrades (and consequent bugfixes) over several small, iterative future PRs that build upon this framework. 2019-09-25T16:38:44Z 2019-09-26T09:38:59Z 2019-09-26T09:38:47Z 2019-09-26T09:38:47Z 16fdac93c09036b44f90201d9078b17808f819e0     0 551f96d1fafc6325fdf41176f97b5324445e4684 85c9a40c2dac6b83a687f97639f8abfe0ab17f46 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3346  
323020965 MDExOlB1bGxSZXF1ZXN0MzIzMDIwOTY1 3358 closed 0 Rolling minimum dependency versions policy crusaderky 6213168 Closes #3222 Closes #3293 - Drop support for Python 3.5 - Upgrade numpy to 1.14 (24 months old) - Upgrade pandas to 0.24 (12 months old) - Downgrade scipy to 1.0 (policy allows for 1.2, but it breaks numpy=1.14) - Downgrade dask to 1.2 (6 months old) - Other upgrades/downgrades to comply with the policy - CI tool to verify that the minimum dependencies requirements in CI are compliant with the policy - Overhaul CI environment for readthedocs Out of scope: - Purge away all OrderedDict's 2019-09-30T23:50:39Z 2019-10-09T02:02:29Z 2019-10-08T21:23:47Z 2019-10-08T21:23:47Z 6fb272c0fde4bfaca9b6322b18ac2cf962e26ee3 crusaderky 6213168   0 b20349c302cb81ad58df37f68e2aa11763c95f8b 4254b4af33843f711459e5242018cd1d678ad3a0 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3358  
323175994 MDExOlB1bGxSZXF1ZXN0MzIzMTc1OTk0 3359 closed 0 Revisit # noqa annotations crusaderky 6213168 Revisit all ``# noqa`` annotation. Remove useless ones; replace blanket ones with specific error messages. Work around https://github.com/PyCQA/pyflakes/issues/453. note: ``# noqa: F811`` on the ``@overload``'ed functions works around a pyflakes bug already fixed in git master (https://github.com/PyCQA/pyflakes/pull/435) but not in a release yet, so it has to stay for now. 2019-10-01T09:35:15Z 2019-10-01T18:13:59Z 2019-10-01T18:13:56Z 2019-10-01T18:13:56Z 21705e61503fb49f000186c0d556e5623bd5ac82     0 16b5e576cd1fc8e27f1c28904495a34be00722bf fb575eb8ceb85a3c12df87bad278748ab9271985 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3359  
323285880 MDExOlB1bGxSZXF1ZXN0MzIzMjg1ODgw 3360 closed 0 WIP: Fix codecov.io upload on Windows crusaderky 6213168 Closes #3354 2019-10-01T13:53:19Z 2019-10-01T15:13:21Z 2019-10-01T14:11:22Z 2019-10-01T14:11:22Z fb575eb8ceb85a3c12df87bad278748ab9271985     0 d9edaf67467d0edef3d7e88a612c025f6c786c3b 1ab2279769554b7d18e9e33763bee31aa8329e85 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3360  
323729291 MDExOlB1bGxSZXF1ZXN0MzIzNzI5Mjkx 3365 closed 0 Demo: CI offline? crusaderky 6213168   2019-10-02T12:34:38Z 2019-10-02T17:32:18Z 2019-10-02T17:32:13Z   cb3d0f76e4a1a22e0b7c5ef7393463f6441ec7f3     0 03e5d6b3f20f5bd28b0f420fdf887216e84aca58 21705e61503fb49f000186c0d556e5623bd5ac82 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3365  
324592815 MDExOlB1bGxSZXF1ZXN0MzI0NTkyODE1 3373 closed 0 Lint crusaderky 6213168 Minor cosmetic changes 2019-10-04T09:29:46Z 2019-10-04T22:18:48Z 2019-10-04T22:17:57Z 2019-10-04T22:17:57Z 4254b4af33843f711459e5242018cd1d678ad3a0     0 ab2c40811ac4b57ab764820dc3f93672bb3cd1db dfdeef79d82e81357a276120a7d34738db460e48 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3373  
325076349 MDExOlB1bGxSZXF1ZXN0MzI1MDc2MzQ5 3375 closed 0 Speed up isel and __getitem__ crusaderky 6213168 First iterative improvement for #2799. Speed up Dataset.isel up to 33% and DataArray.isel up to 25% (when there are no indices and the numpy array is small). 15% speedup when there are indices. Benchmarks can be found in #2799. 2019-10-06T21:27:42Z 2019-10-10T09:21:56Z 2019-10-09T18:01:30Z 2019-10-09T18:01:30Z 3f0049ffc51e4c709256cf174c435f741370148d crusaderky 6213168   0 1e99f83e4664982a976be400cd4a4f2f95bb22c2 132733a917171fcb1f269406eb9e6668cbb7e376 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3375  
327484946 MDExOlB1bGxSZXF1ZXN0MzI3NDg0OTQ2 3395 closed 0 Annotate LRUCache crusaderky 6213168 Very minor type annotations work 2019-10-12T17:44:43Z 2019-10-12T20:05:36Z 2019-10-12T20:05:33Z 2019-10-12T20:05:33Z 6851e3ef2e8e95d43580481f1398e3462aa28e3d     0 5f9acabcf435abcd07970dd727a11fad3115da70 4c05d38459dcf20ac4dc7fb32bb8cef4d7627c8b MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3395  
330160042 MDExOlB1bGxSZXF1ZXN0MzMwMTYwMDQy 3420 closed 0 Restore crashing CI tests on pseudonetcdf-3.1 crusaderky 6213168 Related to #3409 The crashes caused by pseudonetcdf-3.1 are blocking all PRs. Sorry I don't know anything about pseudonetcdf. This PR takes the issue out of the critical path so that whoever knows about the library can deal with it in due time. 2019-10-20T21:26:40Z 2019-10-21T01:32:54Z 2019-10-20T22:42:36Z 2019-10-20T22:42:36Z 9886e3c84051772ce62a50aa7067ee2f5b68f8cd     0 8f577e076d9ba4cd6dea7d93c793ddf2a3c61e1e 0f7ab0e909d9b6272f734a0b6fa4318e9522d3a2 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3420  
330885396 MDExOlB1bGxSZXF1ZXN0MzMwODg1Mzk2 3429 closed 0 minor lint tweaks crusaderky 6213168 - Ran pyflakes 2.1.1 - Some f-string tweaks - Ran black -t py36 - Ran mypy 0.740. We'll need to skip it and jump directly to 0.750 once it's released because of https://github.com/python/mypy/issues/7735 2019-10-22T09:15:03Z 2019-10-24T12:53:24Z 2019-10-24T12:53:21Z 2019-10-24T12:53:21Z 652dd3ca77dd19bbd1ab21fe556340c1904ec382     0 79a4c69a599fd7433748ee28b33e4f4e9233a5a8 52e4ef1a79ecf51691887e3c4bf3994be9a231ee MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3429  
331258241 MDExOlB1bGxSZXF1ZXN0MzMxMjU4MjQx 3436 closed 0 MAGA (Make Azure Green Again) crusaderky 6213168 Let all CI tests become green again to avoid hindering developers who are working on PRs unrelated to the present incompatibilities (numpy=1.18, cftime=1.0.4, pseudonetcdf=3.1.0). 2019-10-22T22:56:21Z 2019-10-24T09:57:59Z 2019-10-23T01:06:10Z 2019-10-23T01:06:10Z c8dac5866d2c54ee6b262b5060a701e0be1e40cb     0 359670a4b40e1fb481411fa111ffb0275bf63f17 72be873857a0a56659c905ce491ca1f94b44fd5c MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3436  
331986350 MDExOlB1bGxSZXF1ZXN0MzMxOTg2MzUw 3442 closed 0 pandas-dev workaround crusaderky 6213168 Temporary hack around #3440 to get green CI 2019-10-24T10:59:55Z 2019-10-24T11:43:42Z 2019-10-24T11:43:36Z 2019-10-24T11:43:36Z 52e4ef1a79ecf51691887e3c4bf3994be9a231ee     0 34d9a5c213e461dbeb3c9934998c0b427d9f45d3 35c75f557a510b7e81c70fcaad8cad419a12ee2e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3442  
340145984 MDExOlB1bGxSZXF1ZXN0MzQwMTQ1OTg0 3515 closed 0 Recursive tokenization crusaderky 6213168 After misreading the dask documentation <https://docs.dask.org/en/latest/custom-collections.html#deterministic-hashing>, I was under the impression that the output of ``__dask_tokenize__`` would be recursively parsed, like it happens for ``__getstate__`` or ``__reduce__``. That's not the case - the output of ``__dask_tokenize__`` is just fed into a str() function so it has to be made explicitly recursive! 2019-11-12T22:35:13Z 2019-11-13T00:54:32Z 2019-11-13T00:53:27Z 2019-11-13T00:53:27Z e70138b61033081e3bfab3aaaec5997716cd7109 crusaderky 6213168   0 36ad4f7d4d2f238cccb20d48c83d604ad431c49d b74f80ca2df4920f711f9fe5762458c53ce3c2c6 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3515  
340910247 MDExOlB1bGxSZXF1ZXN0MzQwOTEwMjQ3 3531 closed 0 Leave empty slot when not using accessors crusaderky 6213168 Save a few bytes and nanoseconds for the overwhelming majority of the users that don't use accessors. Lay the groundwork for potential future use of ``@pandas.utils.cache_readonly``. xref https://github.com/pydata/xarray/issues/3514 2019-11-14T10:54:55Z 2019-11-15T17:43:57Z 2019-11-15T17:43:54Z 2019-11-15T17:43:54Z aa876cfd6b3b97ee5028d089ec741d057e3ed688     0 66352a5bb37f06b7e00915af602016e9a87f75b1 8b240376fd91352a80b068af606850e8d57d1090 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3531  
341037589 MDExOlB1bGxSZXF1ZXN0MzQxMDM3NTg5 3533 closed 0 2x~5x speed up for isel() in most cases crusaderky 6213168 Yet another major improvement for #2799. Achieve a 2x to 5x boost in isel performance when slicing small arrays by int, slice, list of int, scalar ndarray, or 1-dimensional ndarray. ```python import xarray da = xarray.DataArray([[1, 2], [3, 4]], dims=['x', 'y']) v = da.variable a = da.variable.values ds = da.to_dataset(name="d") ds_with_idx = xarray.Dataset({ 'x': [10, 20], 'y': [100, 200], 'd': (('x', 'y'), [[1, 2], [3, 4]]) }) da_with_idx = ds_with_idx.d # before -> after %timeit a[0] # 121 ns %timeit v[0] # 7 µs %timeit v.isel(x=0) # 10 µs %timeit da[0] # 65 µs -> 15 µs %timeit da.isel(x=0) # 63 µs -> 13 µs %timeit ds.isel(x=0) # 48 µs -> 24 µs %timeit da_with_idx[0] # 209 µs -> 82 µs %timeit da_with_idx.isel(x=0, drop=False) # 135 µs -> 34 µs %timeit da_with_idx.isel(x=0, drop=True) # 101 µs -> 34 µs %timeit ds_with_idx.isel(x=0, drop=False) # 90 µs -> 49 µs %timeit ds_with_idx.isel(x=0, drop=True) # 65 µs -> 49 µs ``` Marked as WIP because this commands running the asv suite to verify there are no regressions for large arrays. (on a separate note, we really need to add the small size cases to asv - as discussed in #3382). This profoundly alters one of the most important methods in xarray and I must confess it makes me nervous, particularly as I am unsure if the test coverage of DataArray.isel() is as through as that for Dataset.isel(). 2019-11-14T15:34:24Z 2019-12-05T16:45:40Z 2019-12-05T16:39:40Z 2019-12-05T16:39:40Z 87a25b64898c94ea1e2a2e7a06d31ef602b116bf     0 1b814e9d20557a9d80bcef290eb40df00dccad27 577d3a75ea8bb25b99f9d31af8da14210cddff78 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3533  
341442128 MDExOlB1bGxSZXF1ZXN0MzQxNDQyMTI4 3537 closed 0 Numpy 1.18 support crusaderky 6213168 Fix mean() and nanmean() for datetime64 arrays on numpy backend when upgrading from numpy 1.17 to 1.18. All other nan-reductions on datetime64s were broken before and remain broken. mean() on datetime64 and dask was broken before and remains broken. - [x] Closes #3409 - [x] Passes `black . && mypy . && flake8` - [x] Fully documented, including `whats-new.rst` for all changes and `api.rst` for new API 2019-11-15T12:17:32Z 2019-11-19T14:06:50Z 2019-11-19T14:06:46Z 2019-11-19T14:06:46Z 45fd0e63f43cf313b022a33aeec7f0f982e1908b     0 7767fec9e5cd1e3478c2d153e4e86da30ddfb630 980a1d26969b603d4be61033791781abd702d02a MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3537  
343261484 MDExOlB1bGxSZXF1ZXN0MzQzMjYxNDg0 3551 closed 0 Clarify conda environments for new contributors crusaderky 6213168 <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #3549 2019-11-20T09:47:15Z 2019-11-20T14:50:48Z 2019-11-20T09:47:57Z 2019-11-20T09:47:57Z 6b70107ab3063187b663290538c0d5a4107dab6e     0 7381e1d9922cbae208dc41c6745d2e44852db469 7466be623fbb4bbb5efc389d31436bd38e53d198 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3551  
364238136 MDExOlB1bGxSZXF1ZXN0MzY0MjM4MTM2 3703 closed 0 hardcoded xarray.__all__ crusaderky 6213168 Closes #3695 2020-01-17T17:09:45Z 2020-01-18T00:58:06Z 2020-01-17T20:42:25Z 2020-01-17T20:42:25Z e646dd987f414e9c1b12b106e17ba650762fa6b6     0 63a120058dbe0b3719c37450fa30a5fc91174ab0 46dfb779df2663c4b012124ae2ec193cca086c35 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3703  
364247243 MDExOlB1bGxSZXF1ZXN0MzY0MjQ3MjQz 3704 closed 0 Bump mypy to v0.761 crusaderky 6213168   2020-01-17T17:35:09Z 2020-01-17T22:59:19Z 2020-01-17T18:51:51Z 2020-01-17T18:51:51Z 924c05212223defe0720c9da7cdb7583c2c5b696     0 f314cd5670c4beed8f877fef50cb4cd148f8c847 46dfb779df2663c4b012124ae2ec193cca086c35 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3704  
364247617 MDExOlB1bGxSZXF1ZXN0MzY0MjQ3NjE3 3705 closed 0 One-off isort run crusaderky 6213168   2020-01-17T17:36:10Z 2020-01-17T22:59:26Z 2020-01-17T21:00:24Z 2020-01-17T21:00:24Z c32e58b4fff72816c6b554db51509bea6a891cdc     0 0b1ccba4ed445164f55233dea376aa5c193253f8 46dfb779df2663c4b012124ae2ec193cca086c35 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3705  
365835247 MDExOlB1bGxSZXF1ZXN0MzY1ODM1MjQ3 3714 closed 0 setuptools-scm and one-liner setup.py crusaderky 6213168 - Closes #3369 - Replace versioneer with setuptools-scm - Replace setup.py with setup.cfg - Drop pytest-runner as instructed by deprecation notice on the project webpage 2020-01-22T12:46:43Z 2020-01-27T07:42:36Z 2020-01-22T15:40:34Z 2020-01-22T15:40:33Z 27a392906f12af5fa60d21bb327d739ee8411c82     0 17b52a158b3418e5456faaedc47e1744c7f3c760 aa0f96383062c48cb17f46ef951075c0494c9c0a MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3714  
366763347 MDExOlB1bGxSZXF1ZXN0MzY2NzYzMzQ3 3720 closed 0 setuptools-scm and isort tweaks crusaderky 6213168 Follow-up on https://github.com/pydata/xarray/pull/3714 - Fix regression in mypy if pip creates a zipped archive - Avoid breakage in the extremely unlikely event that setuptools is not installed - Guarantee ``xarray.__version__`` to be always PEP440-compatible. This prevents a breakage if you run pandas without xarray installed and with the xarray sources folder in PYTHONPATH. - Apply isort to ``xarray.__init__`` 2020-01-24T10:12:03Z 2020-01-24T15:34:34Z 2020-01-24T15:28:48Z 2020-01-24T15:28:48Z ecd67f457240db5bc3316c092ca0bb3a134b4239     0 3d7b315645f79f8af34da74fc21b46a43c1bd32f 6d1434e9b9e9766d6fcafceb05e81734b29994ea MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3720  
366775823 MDExOlB1bGxSZXF1ZXN0MzY2Nzc1ODIz 3721 closed 0 Add isort to CI crusaderky 6213168   2020-01-24T10:41:54Z 2020-01-30T12:22:53Z 2020-01-28T19:41:52Z 2020-01-28T19:41:52Z 20dd7dc83a20ca63390a92f1866bfe67697dd14c     0 dda2b296737f0f5236b8644de46b45e05009b64a 6d1434e9b9e9766d6fcafceb05e81734b29994ea MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3721  
367637350 MDExOlB1bGxSZXF1ZXN0MzY3NjM3MzUw 3724 closed 0 setuptools-scm (3) crusaderky 6213168 Fix https://github.com/pydata/xarray/pull/3714#issuecomment-578626605 @shoyer I have no way of testing if this fixes github - please see by yourself after merging to master. 2020-01-27T18:26:11Z 2020-02-14T12:07:22Z 2020-01-27T18:51:50Z 2020-01-27T18:51:50Z b350561522c9f6f07999ffc31bf25bd898056c1c     0 fb67d9d305294d6198a939151a0775865c5eb800 73b46de262b8489307ce88f220f902f254af8c3a MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3724  
368681280 MDExOlB1bGxSZXF1ZXN0MzY4NjgxMjgw 3726 closed 0 Avoid unsafe use of pip crusaderky 6213168 Closes #3725 2020-01-29T17:33:48Z 2020-01-30T12:23:05Z 2020-01-29T23:39:40Z 2020-01-29T23:39:39Z 1491685a99b7355135093c685cf52e605e71f742     0 ad14099eab2044b2dd1467f92ec4641bbdcb8bd0 28577dd2e84f77adeac698e2d60187c69f7f4fa0 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3726  
368688103 MDExOlB1bGxSZXF1ZXN0MzY4Njg4MTAz 3727 closed 0 Python 3.8 CI crusaderky 6213168 - Run full-fat suite of tests for Python 3.8 - Move asv, MacOSX tests, readthedocs, binder, and more to Python 3.8 - Test windows against latest numpy version - Windows tests remain on Python 3.7 because of a couple of Python 3.8 tests that fail exclusively in CI. Will investigate later. 2020-01-29T17:50:52Z 2020-02-10T09:41:07Z 2020-01-31T15:52:19Z 2020-01-31T15:52:19Z 4c96d53e6caa78d56b785f4edee49bbd4037a82f     0 6cc75f83af89a3db9f2bb026156a220a8ec6d656 95e4f6c7a636878c94b892ee8d49866823d0748f MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/3727  
461335401 MDExOlB1bGxSZXF1ZXN0NDYxMzM1NDAx 4296 closed 0 Increase support window of all dependencies crusaderky 6213168 Closes #4295 Increase width of the sliding window for minimum supported version: - setuptools from 6 months sliding window to hardcoded >= 38.4, and to 42 months sliding window starting from July 2021 - dask and distributed from 6 months sliding window to hardcoded >= 2.9, and to 12 months sliding window starting from January 2021 - all other libraries from 6 months to 12 months sliding window 2020-08-01T18:55:54Z 2020-08-14T09:52:46Z 2020-08-14T09:52:42Z 2020-08-14T09:52:42Z 8fab5a2449d8368251f96fc2b9d1eaa3040894e6 crusaderky 6213168   0 b4f4644ca774ce49555304cb241f88be03fd3fec 1791c3b6f9852edca977c68c0bf52ed4406ef7b0 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4296  
461438023 MDExOlB1bGxSZXF1ZXN0NDYxNDM4MDIz 4297 closed 0 Lazily load resource files crusaderky 6213168 - Marginal speed-up and RAM footprint reduction when not running in Jupyter Notebook - Closes #4294 2020-08-01T21:31:36Z 2020-09-22T05:32:38Z 2020-08-02T07:05:15Z 2020-08-02T07:05:15Z f99c6cca2df959df3db3c57592db97287fd28f15 crusaderky 6213168   0 90c1563f4e37c9d289c149066fdc05aa08874baa 9058114f70d07ef04654d1d60718442d0555b84b MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4297  
461766905 MDExOlB1bGxSZXF1ZXN0NDYxNzY2OTA1 4299 closed 0 Support PyCharm deployment over SSH crusaderky 6213168 Fix ``pip install .`` when no ``.git`` directory exists; namely when the xarray source directory has been rsync'ed by PyCharm Professional for a remote deployment over SSH. 2020-08-02T06:19:09Z 2020-08-03T19:41:36Z 2020-08-03T19:41:29Z 2020-08-03T19:41:29Z 04958ea777ac493fa3e493124b3874130f899d31     0 1ddeab6edbdac099275f75d3d7bc1f8140605706 5200a182f324be21423fd2f8214b8ef04b5845ce MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4299  
570419623 MDExOlB1bGxSZXF1ZXN0NTcwNDE5NjIz 4884 closed 0 Compatibility with dask 2021.02.0 crusaderky 6213168 Closes #4860 Reverts #4873 Restore compatibility with dask 2021.02.0 by avoiding improper assumptions on the implementation details of ``da.Array.__dask_postpersist__()``. This PR *does not* align xarray to the new dask collection spec (https://github.com/dask/dask/issues/7093), as I just realized that Datasets violate the rule of having all dask keys with the same name if they contain more than one dask variable - and cannot do otherwise. So I have to change the dask collection spec again to accommodate them. 2021-02-09T16:12:02Z 2021-02-11T18:33:03Z 2021-02-11T18:32:59Z 2021-02-11T18:32:59Z 2a34bfbbd586882ebe892ae12c72de36318714d5     0 628263d3034ad190e4f52429ae55fb41564bdea8 10f0227a1667c5ab3c88465ff1572065322cde77 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4884  
580791572 MDExOlB1bGxSZXF1ZXN0NTgwNzkxNTcy 4965 closed 0 Support for dask.graph_manipulation crusaderky 6213168 Second iteration upon https://github.com/pydata/xarray/pull/4884 CI is currently failing vs. dask git tip because of https://github.com/dask/dask/issues/7263 (unrelated to this PR) 2021-02-26T11:19:09Z 2021-03-05T09:24:17Z 2021-03-05T09:24:14Z 2021-03-05T09:24:14Z 37522e991a32ee3c0ad1a5ff8afe8e3eb1885550     0 c88c949911f3c9f42740b6b5367940433ec0a8c7 48378c4b11c5c2672ff91396d4284743165b4fbe MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/4965  
690872595 MDExOlB1bGxSZXF1ZXN0NjkwODcyNTk1 5610 closed 0 Fix gen_cluster failures; dask_version tweaks crusaderky 6213168 - fixes one of the issues reported in #5600 - ``distributed.utils_test.gen_cluster`` no longer accepts timeout=None for the sake of robustness - deleted ancient dask backwards compatibility code - clean up code around ``dask.__version__`` 2021-07-15T16:26:21Z 2021-07-15T18:04:00Z 2021-07-15T17:25:43Z 2021-07-15T17:25:43Z bc92331b7a7dc6d42e742cfb837fecef63b5b9da     0 504bfef34486f3c789cbcd3b1156f2709687314f 8539b294d30c4fea780393da2eb932d41809fc99 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/5610  
720501593 MDExOlB1bGxSZXF1ZXN0NzIwNTAxNTkz 5740 closed 0 Remove ad-hoc handling of NEP18 libraries in CI crusaderky 6213168 sparse and pint are mature enough that it is no longer necessary to have a separate CI environment for them. 2021-08-26T13:04:36Z 2021-09-04T10:53:39Z 2021-08-31T10:14:35Z 2021-08-31T10:14:34Z 675f362c9b7fc0c67d8ea15426c6ab6d070547f7     0 ffddb2e137d3b308d870026a0bc7054cdb1ce09b 4fd81b51101aceaad08570f1368ad4b50a946da5 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/5740  
854427736 PR_kwDOAMm_X84y7YhY 6282 closed 0 Remove xfail from tests decorated by @gen_cluster crusaderky 6213168 ``@gen_cluster`` has now been fixed upstream. 2022-02-16T13:47:56Z 2023-04-25T14:53:35Z 2022-02-16T16:32:35Z 2022-02-16T16:32:35Z 07456ed71b89704a438b17cb3bcf442f5f208d5a     0 538f8a2744f0994bb305662596b511681a0594c8 7790863435c612f3e1205292bd7f4efa847fd310 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/6282  
1327282579 PR_kwDOAMm_X85PHLmT 7785 closed 0 Remove pandas<2 pin crusaderky 6213168 XREF #7650 2023-04-25T14:55:12Z 2023-04-26T17:51:53Z 2023-04-25T15:03:10Z 2023-04-25T15:03:10Z 7c53a94f53c4c01155c432c8b287f3d0b318a7c7     0 84add19c51ca3de37174af8894933baf99cb6c41 c733955716aef7ee103559044142587fced5975e MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/7785  
1676653484 PR_kwDOAMm_X85j77Os 8606 closed 0 Clean up Dims type annotation crusaderky 6213168   2024-01-12T15:05:40Z 2024-01-18T18:14:15Z 2024-01-16T10:26:08Z 2024-01-16T10:26:08Z 1580c2c47cca425d47e3a4c2777a625dadba0a8f crusaderky 6213168   0 cdb693e30856667947f32efb760c51940e26f250 357a44474df6d02555502d600776e27a86a12f3f MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/8606  
1684677511 PR_kwDOAMm_X85kaiOH 8618 closed 0 Re-enable mypy checks for parse_dims unit tests crusaderky 6213168 As per https://github.com/pydata/xarray/pull/8606#discussion_r1452680454 2024-01-18T11:32:28Z 2024-01-19T15:49:33Z 2024-01-18T15:34:23Z 2024-01-18T15:34:23Z f4d2609979e8d0fbeee9821ce140898cf3d54e80 crusaderky 6213168   0 bc7ad7425265128ad08d5844dd8963cf8f4fb81c 24ad846b89faa4e549a0cc6382b4735c872c371d MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/8618  
1749654587 PR_kwDOAMm_X85oSZw7 8797 closed 0 tokenize() should ignore difference between None and {} attrs crusaderky 6213168 - Closes #8788 2024-02-29T12:22:24Z 2024-03-01T11:15:30Z 2024-03-01T03:29:51Z 2024-03-01T03:29:51Z 604bb6d08b942f774a3ba2a2900061959d2e091d crusaderky 6213168   0 4eb05f0f73c535455f457e650036c86cdfaf4aa2 a241845c0dfcb8a5a0396f5ef7602e9dae6155c0 MEMBER   xarray 13221727 https://github.com/pydata/xarray/pull/8797  

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