MPC Load Data Ignore Expressions

[eslickj]

Fixes None

Summary/Motivation:

When loading MPC data into a model, if a data key is an Expression, the model will get messed up because the expression will be replaced. This PR makes loading MPC data into a model ignore expressions.

Changes proposed in this PR:

• Ignore expressions when loading MPC data into a model
• When interpolating MPC data if a data point is None make the interpolated value None

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[codecov]

Codecov Report

❌ Patch coverage is 85.00000% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.67%. Comparing base (7ad143c) to head (bee3b23).

Files with missing lines	Patch %	Lines
pyomo/contrib/mpc/interfaces/load_data.py	80.00%	3 Missing ⚠️

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #3868   +/-   ##
=======================================
  Coverage   89.67%   89.67%           
=======================================
  Files         908      908           
  Lines      106735   106750   +15     
=======================================
+ Hits        95717    95732   +15     
  Misses      11018    11018           

Flag	Coverage Δ
builders	29.07% <15.00%> (-0.02%)	⬇️
default	85.96% <85.00%> (?)
expensive	35.51% <15.00%> (?)
linux	87.13% <85.00%> (-2.03%)	⬇️
linux_other	87.13% <85.00%> (-0.01%)	⬇️
oldsolvers	28.01% <15.00%> (+0.01%)	⬆️
osx	82.47% <85.00%> (+0.42%)	⬆️
win	85.55% <85.00%> (-0.01%)	⬇️
win_other	85.55% <85.00%> (-0.01%)	⬇️

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[Robbybp]

I imagine this is coming up because, on one side, you're saving data with include_named_expressions=True, then later loading that data into the model gives an error?

What do you mean by this?

the model will get messed up because the expression will be replaced

Can you provide an example?

Handling None like this for interpolation makes sense to me.

[Robbybp]

Looks good, thanks for this fix.

[jsiirola]

Some super-minor changes; otherwise LGTM.