Fix support for numpy<2.0 and pearson_r with numpy>2.0

[Zeitsperre]

Description

This fix deals with an oversight in the last release that accidentally dropped support for numpy v1. It also fixes a very small bug that can occur in numpy v2.0+, where a single value Pearson R (non-np.ndarray) can cause a ValueError.

Closes #430

Type of change

Please delete options that are not relevant.

• Bug fix (non-breaking change which fixes an issue)

How Has This Been Tested?

Tested locally with numpy v1.26 (should work fine with numpy v1.24) and numpy v2.0.

Pre-Merge Checklist (final steps)

• I have rebased onto main or develop (wherever I am merging) and dealt with any conflicts.
• I have squashed commits to a reasonable amount, and force-pushed the squashed commits.

References

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 94.56%. Comparing base (ca329e0) to head (6bfd47c).
Report is 1 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #431   +/-   ##
=======================================
  Coverage   94.55%   94.56%           
=======================================
  Files          27       27           
  Lines        2829     2833    +4     
=======================================
+ Hits         2675     2679    +4     
  Misses        154      154           

☔ View full report in Codecov by Sentry.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.