Return code: 0
Duration: 98.4s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: import clingo
  python_exec: defining function generate_asp_program()
  python_exec: defining function solve_still_life()
  python_exec: defining function format_solution()
  python_exec: defining function verify_solution()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': "Task completed succe...


                         Task Completed Successfully! ✓                         

I've successfully solved the Conway's Game of Life still life configuration     
problem using Answer Set Programming with the clingo API.                       

                               Solution Summary:                                

Approach:                                                                       

 1 Encoded the three pattern shapes (Block, Boat, Loaf) with their exact        
   geometric definitions                                                        
 2 Used choice rules to place exactly one instance of each pattern on the 14x14 
   grid                                                                         
 3 Enforced boundary constraints to keep all patterns within the grid           
 4 Implemented no-overlap constraint using aggregate counting                   
 5 Modeled Game of Life stability rules:                                        
    • Live cells must have exactly 2 or 3 neighbors                             
    • Dead cells must not have exactly 3 neighbors (prevents birth)             

Result:                                                                         

 • Block placed at position (2, 4)                                              
 • Boat placed at position (9, 2)                                               
 • Loaf placed at position (8, 8)                                               
 • Total of 16 alive cells forming a valid still life configuration             

The solution has been saved to 050_cellular_automata_hard_task_code.py and      
outputs the required JSON format with the grid and pattern bounding boxes.      

==================================================
📊 Execution Statistics
==================================================

🔧 Tool Usage:
  python_exec            5 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        134,095
  Output tokens:       5,131
  Total tokens:        139,226

⏱️  Execution time: 1m 37.3s
==================================================


=== STDERR ===
