Return code: 0
Duration: 97.8s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("=== Task 1: Problem Analysis ===")
  python_exec: print("\n=== Task 2: ASP Model Design ===")
  python_exec: import clingo
  python_exec: asp_program = """
  python_exec: defining function on_model()
  python_exec: print("=== Task 6: Solution Verification ===")
  python_exec: print("=== Task 7: Final JSON Output ===")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                Task Complete! ✓                                

I've successfully solved the complex set cover problem using Answer Set         
Programming with the clingo API.                                                

Solution Overview:                                                              

 • Selected Sets: [1, 2, 3, 4, 5]                                               
 • Total Cost: 5 (matching the expected optimal)                                
 • Base Cost: 5 (sum of individual set costs)                                   
 • Redundancy Penalty: 0 (no element covered by more than 3 sets)               
 • Coverage: All elements 1-20 fully covered                                    

Key Implementation Details:                                                     

 1 Modeled all 5 complex constraints using ASP integrity constraints            
 2 Used two-level optimization to minimize base cost and redundancy penalty     
 3 Properly handled prerequisites, mutual exclusion, and category balancing     
 4 Solution extracts answer set atoms and formats as required JSON output       
 5 Execution completes in well under 10 seconds                                 

The solution file has been saved to 020_set_cover_hard_task_code.py.            

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

🔧 Tool Usage:
  python_exec            7 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        120,035
  Output tokens:       4,910
  Total tokens:        124,945

⏱️  Execution time: 1m 36.1s
==================================================


=== STDERR ===
