Return code: 0
Duration: 162.8s

=== 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 on_model()
  python_exec: asp_program = """
  python_exec: defining function on_model()
  python_exec: analyzing/aggregating data
  python_exec: defining function on_model()
  python_exec: pattern_shapes = {
  python_exec: defining function count_neighbors()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': "Task completed succe...


                                    Summary                                     

I've successfully completed the Conway's Game of Life still life placement task 
using Answer Set Programming with clingo. Here's what was accomplished:         

                               Solution Approach                                

 1 ASP Model Design: Created predicates for grid cells, pattern types, pattern  
   shapes, and placements                                                       
 2 Pattern Encoding: Defined exact geometric shapes for Block (2x2), Boat       
   (5-cell), and Loaf (7-cell) patterns                                         
 3 Constraints Implemented:                                                     
    • Exactly one placement per pattern type                                    
    • All pattern cells within 14x14 grid bounds                                
    • No overlapping patterns                                                   
    • Game of Life still life stability (live cells have 2-3 neighbors, dead    
      cells don't have exactly 3)                                               
 4 Solution Extraction: Converted answer set to JSON format with grid and       
   pattern bounding boxes                                                       

                                  Verification                                  

The solution was verified to satisfy all requirements:                          

 • ✓ All 16 cells (4+5+7) correctly placed                                      
 • ✓ No overlaps between patterns                                               
 • ✓ All cells within bounds                                                    
 • ✓ Every live cell has exactly 2 or 3 neighbors (survival)                    
 • ✓ No dead cell has exactly 3 neighbors (prevents birth)                      
 • ✓ Forms a valid still life configuration                                     

The code has been saved to 050_cellular_automata_hard_task_code.py and produces 
the required JSON output format.                                                

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

🔧 Tool Usage:
  python_exec            8 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        298,626
  Output tokens:       8,448
  Total tokens:        307,074

⏱️  Execution time: 2m 41.6s
==================================================


=== STDERR ===
<block>:47:13-14: error: syntax error, unexpected >, expecting )

<block>:47:5-11: error: syntax error, unexpected #count

