pull_requests: 841520137
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| 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 |
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| 841520137 | PR_kwDOAMm_X84yKJQJ | 6249 | closed | 0 | Fix pickling issue | 10580038 | <!-- Feel free to remove check-list items aren't relevant to your change --> - [x] Closes #6226 - [x] Added tests for opening netcdf files with cftime axis in parallel This PR tries to address some updates in the pandas library on how datetime objects are pickled. Since I was told that the datatype of the CFtimeIndex object will always be `object` I just instructed the `__new__` method to receive any additional arguments but not to evaluate them. Which feels a little awkward but does the job. If there are better ways to deal with this please let me know. @spencerkclark @aidanheerdegen @mathause | 2022-02-07T09:45:46Z | 2022-02-10T22:37:54Z | 2022-02-10T22:37:38Z | 2022-02-10T22:37:37Z | d994273b5d61bbdc2fde5050af5922deb66db274 | 0 | 6efd3bdf89da98aa429b742f2ec55023276e00b9 | 44a3e3bb76fc1266cbaef6e6fa84fa0c146af846 | CONTRIBUTOR | 13221727 | https://github.com/pydata/xarray/pull/6249 |
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