Return code: 0
Duration: 73.6s

=== 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: asp_program = """
  python_exec: defining function on_model()
  python_exec: defining function on_model()
  python_exec: domset = [1, 6]
  python_exec: print(json.dumps(solution, indent=2))
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the minimum dominating set problem using Answer Set 
Programming with clingo.                                                        

Solution Found:                                                                 

 • Dominating set: [1, 6]                                                       
 • Size: 2 (matches the expected optimal size)                                  

Verification:                                                                   

 • Vertex 1: In dominating set                                                  
 • Vertex 2: Adjacent to vertex 1 ✓                                             
 • Vertex 3: Adjacent to vertex 1 ✓                                             
 • Vertex 4: Adjacent to vertex 6 ✓                                             
 • Vertex 5: Adjacent to vertex 6 ✓                                             
 • Vertex 6: In dominating set                                                  
 • Vertex 7: Adjacent to vertex 6 ✓                                             

All vertices are properly dominated by this minimal set of 2 vertices.          

The ASP model uses:                                                             

 1 Choice rules to select vertices for the dominating set                       
 2 Derived predicates to determine which vertices are dominated                 
 3 Constraints to ensure every vertex is dominated                              
 4 Optimization (#minimize) to find the smallest dominating set                 

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

🔧 Tool Usage:
  python_exec            6 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        176,718
  Output tokens:       3,331
  Total tokens:        180,049

⏱️  Execution time: 1m 12.6s
==================================================


=== STDERR ===
#models not 0: optimality of last model not guaranteed.
