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1 row where "created_at" is on date 2022-12-11, type = "pull" and user = 14371165 sorted by updated_at descending

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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
1490160140 PR_kwDOAMm_X85FGOVk 7374 Improve performance for backend datetime handling Illviljan 14371165 closed 0     3 2022-12-11T16:01:05Z 2023-01-18T22:45:36Z 2023-01-13T14:50:53Z MEMBER   0 pydata/xarray/pulls/7374

Was hunting some low-hanging performance fruits when reading in files.

  • Use Variable(..., fastpath=True) for cases when a Variable has been unpacked and modified slightly.
  • Don't check if variable is variable in decode_cf_variable
  • Don't import DataArray until necessary in as_compatible_data.
  • Add typing to touched files to make sure only Variables are used.

  • [ ] Closes #xxxx

  • [ ] Tests added
  • [ ] 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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