Speed up missing._get_interpolator #4776
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Importing scipy.interpolate is slow and should only be done when necessary. Test case from 200ms to 6ms.
mathause
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dcherian
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keewis
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keewis
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Thanks @Illviljan |
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* upstream/master: (342 commits) fix decode for scale/ offset list (pydata#4802) Expand user dir paths (~) in open_mfdataset and to_zarr. (pydata#4795) add a version info step to the upstream-dev CI (pydata#4815) fix the ci trigger action (pydata#4805) scatter plot by order of the first appearance of hue (pydata#4723) don't skip the scheduled CI (pydata#4806) coords: retain str dtype (pydata#4759) Fix interval labels with units (pydata#4794) Always force dask arrays to float in missing.interp_func (pydata#4771) Print number of variables in repr (pydata#4762) install conda as a library in the minimum dependency check CI (pydata#4792) Migrate CI from azure pipelines to GitHub Actions (pydata#4730) use conda.api instead of parallel calls to the conda binary (pydata#4775) Speed up missing._get_interpolator (pydata#4776) Remove special case in guess_engines (pydata#4777) improve typing of OrderedSet (pydata#4774) CI: ignore some warnings (pydata#4773) DOC: update hyperlink for xskillscore (pydata#4778) drop support for python 3.6 (pydata#4720) Trigger upstream CI on cron schedule (by default) (pydata#4729) ...
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Importing scipy.interpolate is slow and should only be done when necessary. Test case from 200ms to 6ms.
isort . && black . && mypy . && flake8By default, the upstream dev CI is disabled on pull request and push events. You can override this behavior per commit by adding a
[test-upstream]tag to the first line of the commit message.