Add independent variable rows to sensitivity toolbox Pynumero-based sensitivity calcs

[eslickj]

Summary/Motivation:

Add rows for independent variables to the Pynumero-based sensitivity ds/dp matrix calculation. Although the rows are trivial (just tacking an identity matrix on the end) they are convenient for some calculations.

Changes proposed in this PR:

• Include rows for dp/dp at the end of the ds/dp matrix in the pynumero-based calculation in the sensitivity toolbox.

Legal Acknowledgement

By contributing to this software project, I have read the contribution guide and agree to the following terms and conditions for my contribution:

1. I agree my contributions are submitted under the BSD license.
2. I represent I am authorized to make the contributions and grant the license. If my employer has rights to intellectual property that includes these contributions, I represent that I have received permission to make contributions and grant the required license on behalf of that employer.

[mrmundt]

FYI that GHA is being wonky this morning.

[mrmundt]

@eslickj - Please run black -S -C on your code with the newest version of black.

[codecov]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 89.05%. Comparing base (10d6acc) to head (d771a60).
Report is 159 commits behind head on main.

Additional details and impacted files

@@           Coverage Diff           @@
##             main    #3655   +/-   ##
=======================================
  Coverage   89.05%   89.05%           
=======================================
  Files         890      890           
  Lines      102617   102621    +4     
=======================================
+ Hits        91384    91393    +9     
+ Misses      11233    11228    -5     

Flag	Coverage Δ
builders	26.65% <0.00%> (-0.01%)	⬇️
default	85.65% <100.00%> (?)
expensive	34.01% <0.00%> (?)
linux	86.78% <100.00%> (-2.03%)	⬇️
linux_other	86.78% <100.00%> (+<0.01%)	⬆️
osx	83.08% <100.00%> (-0.02%)	⬇️
win	84.99% <100.00%> (+0.01%)	⬆️
win_other	84.99% <100.00%> (+0.01%)	⬆️

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