Max cov example

[brunompacheco]

Implement the selfish EBMC games, described in https://optimization-online.org/?p=30871. Uses also instances generated by the authors from https://github.com/HyunwooLee0429/Best-response-dynamics-IPG

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Codecov Report

❌ Patch coverage is 85.71429% with 3 lines in your changes missing coverage. Please review.
✅ Project coverage is 89.84%. Comparing base (f7c1265) to head (e63da71).

Files with missing lines	Patch %	Lines
src/SGM/PolymatrixGame/Polymatrix.jl	50.00%	2 Missing ⚠️
src/Game/Player.jl	94.11%	1 Missing ⚠️
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Additional details and impacted files

@@            Coverage Diff             @@
##             main       #7      +/-   ##
==========================================
- Coverage   90.31%   89.84%   -0.47%     
==========================================
  Files          13       13              
  Lines         320      325       +5     
==========================================
+ Hits          289      292       +3     
- Misses         31       33       +2     

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[Copilot]

Pull Request Overview

This PR implements selfish EBMC (Edge-Based Maximum Coverage) games as described in an optimization paper, using instances generated from a specific GitHub repository. The implementation adds support for bilateral payoff computation with affine expressions and includes a comprehensive example that models a lake infestation management game across multiple counties.

• Adds method for computing bilateral payoffs with affine expressions
• Refactors expression internalization logic into a reusable function
• Implements a complete max coverage game example with CSV data loading and Python pickle integration

Reviewed Changes

Copilot reviewed 4 out of 4 changed files in this pull request and generated 3 comments.

File	Description
src/SGM/PolymatrixGame/Polymatrix.jl	Adds affine expression support and early return optimization for bilateral payoff computation
src/Game/Player.jl	Extracts expression internalization into a separate reusable function
examples/max-cov.jl	Implements the complete EBMC game example with data loading and game setup
examples/Project.toml	Adds CSV and PyCall dependencies for the new example

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