Run maze_analyzer.py against a batch of generated outputs (varied sizes/seeds) for both PERFECT=True and PERFECT=False, fixing any failures.
Acceptance criteria: analyzer reports coherent encoding and correct mode classification across all sampled outputs.
Day: Day 9
Milestone: Days 9-10 - Packaging Docs and Bonus
Estimate: M
Depends on: OUT-03
Run maze_analyzer.py against a batch of generated outputs (varied sizes/seeds) for both PERFECT=True and PERFECT=False, fixing any failures.
Acceptance criteria: analyzer reports coherent encoding and correct mode classification across all sampled outputs.
Day: Day 9
Milestone: Days 9-10 - Packaging Docs and Bonus
Estimate: M
Depends on: OUT-03