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New numpy version breaks everything #1785
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aulemahal
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Jul 31, 2024
<!--Please ensure the PR fulfills the following requirements! --> <!-- If this is your first PR, make sure to add your details to the AUTHORS.rst! --> ### Pull Request Checklist: - [x] This PR addresses an already opened issue (for bug fixes / features) - This PR fixes #1785 - [x] Tests for the changes have been added (for bug fixes / features) - [x] (If applicable) Documentation has been added / updated (for bug fixes / features) - [x] CHANGES.rst has been updated (with summary of main changes) - [x] Link to issue (:issue:`number`) and pull request (:pull:`number`) has been added ### What kind of change does this PR introduce? * Changes NaN and NAN to nan, Inf to inf. * Changes a test so the new data type promotion of numpy 2 fits our expected values * Relaxes a test for the same reason * Change expected unit order in some cases (new cf_xarray + pint) * Dimensionless units are now printed as "1". * Simplify `pint2cfunits`. * Add `ensure_absolute_tempetature` to its module's `__all__` and move `ensure_delta` up in the same module so both functions are near another in the file. ### Does this PR introduce a breaking change? Yes it does. Fixing numpy 2 issues made me fix pint 0.24.1 issues that made me fix cf_xarray issues which have solution that is not backwards-compatible and now pint and cf_xarray have updated pinned that imply a numpy >=2 pin. ### Other information: ~We will require 3 new pins :~ - Most problems with `create_ensemble` come from a np2 bug in xarray, which was fixed here pydata/xarray#9182. ~We are thus waiting for a release~. Xarray 2024.07.0 out on the 30th. - All units problem are solved with xarray-contrib/cf-xarray#523, which was released in cf-xarray 0.9.3. - The dimensionless unit thing requires pint 0.24.1 ~which requires numpy 2, so pinning this as well.~ UPDATE: No pins were added, but the behaviour of xclim will be different for dimensionless indicators depending on the cf_xarray/pint versions installed.
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Generic Issue
Description
numpy
v2.0.0 landed a few days ago, and it looks as though there is a long list of breaking changes (see: https://numpy.org/devdocs/release/2.0.0-notes.html).A pin was placed on
numpy
in #1783, but there are likely a slew of major dependency updates coming from all major scientific libraries that use it.Code of Conduct
The text was updated successfully, but these errors were encountered: