Improve NumPy registration when assigning numpy to Param

[jsiirola]

Fixes # .

Summary/Motivation:

This resolves (for Pyomo) a weakness in the automated numpy type registration system (which is necessary after #3077 removed the mandatory import / registration of NumPy). This partially addresses #3091 (the remainder will need to be addressed within mpi-sppy).

Changes proposed in this PR:

• Update NumericRange so that checking membership of a numpy type in the range will trigger numpy type registrations (through the normal check_if_numeric_type mechanism)
• Add a test that ensures that assigning a numpy type to a Param will trigger numpy type registration

Legal Acknowledgement

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[codecov]

Codecov Report

Attention: 1 lines in your changes are missing coverage. Please review.

Comparison is base (98537e0) 88.26% compared to head (c299be0) 88.27%.
Report is 49 commits behind head on main.

Files	Patch %	Lines
pyomo/core/base/range.py	93.33%	1 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #3093   +/-   ##
=======================================
  Coverage   88.26%   88.27%           
=======================================
  Files         832      832           
  Lines       92451    92454    +3     
=======================================
+ Hits        81599    81610   +11     
+ Misses      10852    10844    -8     

Flag	Coverage Δ
linux	85.96% <94.11%> (+0.45%)	⬆️
osx	75.51% <94.11%> (+<0.01%)	⬆️
other	86.14% <94.11%> (+0.45%)	⬆️
win	83.38% <94.11%> (+0.55%)	⬆️

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