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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
970245117 MDExOlB1bGxSZXF1ZXN0NzEyMjIzNzc2 5704 Allow in-memory arrays with open_mfdataset Illviljan 14371165 open 0     8 2021-08-13T09:50:26Z 2023-04-29T06:58:26Z   MEMBER   0 pydata/xarray/pulls/5704

The docstring seems to imply that it's possible to get in-memory arrays: https://github.com/pydata/xarray/blob/4bb9d9c6df77137f05e85c7cc6508fe7a93dc0e4/xarray/backends/api.py#L732

But it doesn't seem possible because of: https://github.com/pydata/xarray/blob/4bb9d9c6df77137f05e85c7cc6508fe7a93dc0e4/xarray/backends/api.py#L899

This PR removes that or check, changes the default to chunk={}, and fixes the failing tests.

  • [x] Noticed in #5689
  • [ ] Closes #7792
  • [x] Tests added
  • [x] Passes pre-commit run --all-files
  • [x] User visible changes (including notable bug fixes) are documented in whats-new.rst
 
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     xarray 13221727 pull
931016490 MDExOlB1bGxSZXF1ZXN0Njc4NTc5MjIx 5542 Do not transpose 1d arrays during interpolation Illviljan 14371165 open 0     8 2021-06-27T20:56:13Z 2022-10-12T20:12:11Z   MEMBER   0 pydata/xarray/pulls/5542

Seems a waste of time to transpose 1d arrays.

  • [ ] Closes #xxxx
  • [ ] Tests added
  • [ ] Passes pre-commit run --all-files
  • [ ] User visible changes (including notable bug fixes) are documented in whats-new.rst
  • [ ] New functions/methods are listed in api.rst
 
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     xarray 13221727 pull

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