Fix geocentric_resolution compatibility with numpy 2.1.0

[djhoese]

Satpy unstable environment started failing and regular environments will start failing too when conda-forge has numpy 2.1.0 available.

Starting with numpy 2.1.0 the numpy function histogram_bin_edges will raise a ValueError if the array you give it can't be split into the number of buckets you request (default 10). This happens when the elements of an array are so close together (near floating point precision) that numpy can't possibly split things into N buckets. There error you get is:

E               ValueError: Too many bins for data range. Cannot create 10 finite-sized bins.

This PR works around this by adding a try/except to the call and just returning the two elements of the input array. As far as I can tell this is basically equivalent.

• Closes #xxxx
• Tests added
• Tests passed
• Passes git diff origin/main **/*py | flake8 --diff
• Fully documented

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 93.97%. Comparing base (5f69bd8) to head (0a47fd3).
Report is 66 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main     #614   +/-   ##
=======================================
  Coverage   93.97%   93.97%           
=======================================
  Files          86       86           
  Lines       13811    13819    +8     
=======================================
+ Hits        12979    12987    +8     
  Misses        832      832           

Flag	Coverage Δ
unittests	93.97% <100.00%> (+<0.01%)	⬆️

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[djhoese]

Hm pre-commit on my local machine is behaving differently than pre-commit.ci.

[mraspaud]

Lgtm, thanks for updating the PR template along the way.