Supply Curve Aggregation by Zone within GIDs

[mjgleason]

First cut at implementing supply curve aggregation for zones within GIDs. This functionality is enable by passing values to the new zones_dset argument.

I added new tests to tests/test_supply_curve_sc_aggregation.py, and the existing tests are all passing as well. I was unable to directly test that this functionality works with cap_cost_scale because the test gen/econ datasets do not have the correctly named economic datasets, but I did test that each zone + sc site is output to a separate sc_gid with the correct areas and capacities. Since the capital cost scale functionality is already tested separately, and runs downstream of the area and capacity calculations for each site in GenerationSupplyCurvePoint.summarize(), I don't this its okay not to test it.

This PR also includes some incidental changes to .pylintrc and .pre-commit-config.yaml to get them working again (they were pretty outdated).

[codecov-commenter]

Codecov Report

Attention: Patch coverage is 95.74468% with 6 lines in your changes missing coverage. Please review.

Project coverage is 87.72%. Comparing base (68431d3) to head (a68e4f6).

Files with missing lines	Patch %	Lines
reV/supply_curve/aggregation.py	76.92%	3 Missing ⚠️
tests/test_supply_curve_sc_aggregation.py	96.90%	3 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##             main     #503      +/-   ##
==========================================
+ Coverage   87.57%   87.72%   +0.14%     
==========================================
  Files         122      122              
  Lines       18234    18380     +146     
==========================================
+ Hits        15969    16124     +155     
+ Misses       2265     2256       -9     

Flag	Coverage Δ
unittests	87.72% <95.74%> (+0.14%)	⬆️

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[ppinchuk]

Leaving comments here now so that I don't forget them over the weekend