Add terse links for gradient-based calculation using graph-based collection definition

[cfrontin]

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[Copilot]

Pull request overview

This pull request converts the collection system design representation from a discrete graph variable to a continuous terse_links array to enable gradient-based optimization. The terse_links format is a compact integer array encoding the electrical connection topology as a tree structure, where each turbine's connection target is specified by an array index.

Changes:

• Changed terse_links from a discrete output to a continuous output in collection system components to support gradient computation
• Updated the ORBIT wrapper to accept terse_links instead of graph and reconstruct the graph internally
• Added partial derivative declarations indicating that terse_links is independent of input positions

Reviewed changes

Copilot reviewed 7 out of 7 changed files in this pull request and generated 2 comments.

Show a summary per file

File	Description
ard/cost/orbit_wrap.py	Modified to accept terse_links input instead of discrete graph, added logic to reconstruct graph from terse_links, and declared partials for gradient calculations
ard/collection/optiwindnet_wrap.py	Moved terse_links from discrete output to continuous output and added partial declarations marking it as independent of position inputs
ard/collection/templates.py	Updated template to define terse_links as a continuous output instead of discrete output
test/ard/unit/cost/test_orbit_wrap.py	Updated test connections from graph to terse_links
test/ard/unit/collection/test_templates.py	Updated test assertions to check for terse_links in continuous outputs instead of discrete outputs
test/ard/unit/collection/test_optiwindnet.py	Updated test assertions to check for terse_links in continuous outputs instead of discrete outputs
README.md	Updated documentation URLs to point to NLRWindSystems GitHub organization

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