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numpy 2 compatibility in the iris code paths #9156

Merged
merged 3 commits into from
Jul 11, 2024
Merged

numpy 2 compatibility in the iris code paths #9156

merged 3 commits into from
Jul 11, 2024

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keewis
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@keewis keewis commented Jun 23, 2024

Just like #9136, this attempts to see if there's anything we can / need to do to get our iris tests to run with numpy>=2 (the issue is not iris but cf_units, I believe)

  • User visible changes (including notable bug fixes) are documented in whats-new.rst

@keewis keewis added the run-upstream Run upstream CI label Jun 23, 2024
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keewis commented Jun 23, 2024 •
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looks like iris depends on netcdf4, so we need to merge #9136 to see if anything fails.

Edit: the most recent commit doesn't seem to cause any additional failing tests, so I'd say that means we're fine? We should definitely merge #9136 first to be sure, though.

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Shout if you need anything from the Iris side 🤜🤛

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keewis commented Jul 11, 2024

@trexfeathers, looks like there was nothing to do here.

@keewis keewis merged commit e12aa44 into pydata:main Jul 11, 2024
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@keewis keewis deleted the numpy2-iris branch July 11, 2024 09:25
dcherian added a commit to dcherian/xarray that referenced this pull request Jul 11, 2024
@dcherian
Merge branch 'main' into grouper-public-api
c94d9c2 
* main:
  exclude the bots from the release notes (pydata#9235)
  switch the documentation to run with `numpy>=2` (pydata#9177)
  `numpy` 2 compatibility in the iris code paths (pydata#9156)
  `numpy` 2 compatibility in the `netcdf4` and `h5netcdf` backends (pydata#9136)
  Fix time indexing regression in `convert_calendar` (pydata#9192)
  Use duckarray assertions in test_coding_times (pydata#9226)
  Use reshape and ravel from duck_array_ops in coding/times.py (pydata#9225)
  Cleanup test_coding_times.py (pydata#9223)
  Only use necessary dims when creating temporary dataarray (pydata#9206)
  Fix two bugs in DataTree.update() (pydata#9214)
  Use numpy 2.0-compat `np.complex64` dtype in test (pydata#9217)
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@keewis @trexfeathers