Add cell tower coverage template#58
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vladimirvalenta wants to merge 4 commits intomainfrom
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cafzal
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May 7, 2026
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cafzal
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Approve with one small fix
Clean MCLP template — fills a real portfolio gap (single-reasoner site-selection prescriptive, distinct from telco_network_recovery's upgrade planning and subscriber_retention's churn ML). Code, sample data, and narrative all hold up. py_compile and ruff check both pass.
Please fix before merge
industry: "Energy & Utilities" → industry: "Telecommunications" (README.md:6). Title, tags, entities, and units are all wireless/telco; mis-classification would mislead customers browsing by industry. Matches subscriber_retention and telco_network_recovery.
Nits (optional)
- Drop the
# Cell Tower CoverageH1 atREADME.md:19— sample-template says front-mattertitle:is sufficient. - Section headers drift from sample-template canonical (
# Configure coverage policy→# Configure inputs;# Solve→# Solve and check solution). Meaning is clear; aligning helps cross-template readers. - Replace
Objective: covered population = ...in the README expected-output block with a real number from a run, so users can sanity-check.
Highlights worth keeping
- Pre-solve validation block (
cell_tower_coverage.py:49-73) catches dangling IDs and unreachable zones — not required but a great pattern. - Sample data is domain-realistic: tower types (Macro / Small Cell), plausible build-cost and distance/signal ranges, names like "Midtown Rooftop" and "East Utility Pole" that read like a real screening shortlist.
- Combinatorial enough to be non-trivial: 6 sites × 10 zones × 19 feasible pairs with capacity + budget + cardinality interacting.
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Summary
cell_tower_coverage, a prescriptive optimization template for wireless infrastructure coverage planning.Verification
python3 -m py_compile cell_tower_coverage.py./.venv/bin/python cell_tower_coverage/cell_tower_coverage.py