Dice Game Scoring Optimization
This skill handles dice game analysis tasks where:
- A workbook contains dice roll data (6 rolls per turn, 2 turns per game)
- Turns must be scored using categories with specific rules
- Games are scored by optimally assigning different categories to each turn
- Questions involve comparing players across matched games
Usage
pythonimport sys sys.path.insert(0, '/app/environment/skills/evo-dice-game-scoring/scripts') from dice_scoring import ( parse_dice_data, compute_all_scores, best_game_score, compute_all_game_scores, match_players ) # Parse data turns, games = parse_dice_data('/root/data.xlsx') # Compute all game scores game_scores = compute_all_game_scores(games) # Match players: odd games = P1, even games = P2 p1_wins, p2_wins, ties = match_players(game_scores) result = p1_wins - p2_wins with open('/root/answer.txt', 'w') as f: f.write(str(result))
Key Design Decisions
- Missing turns are handled gracefully (1-turn games scored with best single category)
- The "Ordered subset of four" category checks consecutive positions in roll order
- Category assignment optimization uses brute-force over 6 categories (fast enough)
- PDF background must be read at runtime to extract exact scoring rules
