🩹 Use svd function on raw numpy arrray instead of xarray dataarray

[jsnel]

This should fix an issues with numpy > 2.0.1 and should be backwards compatible.

Change summary

• In the prepare_dataset function where svd are added we use the .data attribute of the xarrray dataarray to get the numpy array to be used in the calculation.

Checklist

• ✔️ Passing the tests (mandatory for all PR's)
• ✔️Test with both numpy 2.0.1 and numpy 1.26.4

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 88.8%. Comparing base (2c88dce) to head (3885447).
Report is 29 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##            main   #1520     +/-   ##
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+ Coverage   88.6%   88.8%   +0.1%     
=======================================
  Files        107     109      +2     
  Lines       5128    5245    +117     
  Branches     962     982     +20     
=======================================
+ Hits        4544    4658    +114     
  Misses       468     468             
- Partials     116     119      +3     

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[sonarqubecloud]

Quality Gate passed

Issues
0 New issues
0 Accepted issues

Measures
0 Security Hotspots
0.0% Coverage on New Code
0.0% Duplication on New Code

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[jsnel]

I manually tested with both numpy 2.0.1 and numpy 1.26.4, running all examples notebooks, and observed no failing cell executions.

[s-weigand]

Thanks this will enable compatibility with numpy>2 (as far as numba also supports it) 🎉