Return code: 0
Duration: 115.1s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function generate_asp_facts()
  python_exec: asp_program = """
  python_exec: defining function solve_stable_matching()
  python_exec: print("Verification:")
  python_exec: output_json = 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 stable matching task using Answer Set           
Programming with clingo. Here's what was accomplished:                          

                               Solution Approach:                               

 1 Modeled the problem with ASP predicates for residents, hospitals, capacities,
   and preferences                                                              
 2 Generated choice rules for matching residents to hospitals (only mutually    
   acceptable pairs)                                                            
 3 Implemented capacity constraints to ensure hospitals don't exceed their      
   limits                                                                       
 4 Added stability constraints covering all 4 blocking pair cases:              
    • Unmatched resident prefers hospital with free capacity                    
    • Matched resident prefers different hospital with free capacity            
    • Unmatched resident preferred by full hospital over current assignee       
    • Matched resident preferred by different full hospital over current        
      assignee                                                                  

                                    Results:                                    

 • ✅ Found exactly 81 stable matchings as expected                             
 • ✅ All 40 residents matched in each stable matching                          
 • ✅ All matchings satisfy capacity constraints                                
 • ✅ No blocking pairs exist in any matching                                   
 • ✅ Output formatted as required JSON                                         

The solution correctly identifies that the problem decomposes into independent  
blocks, yielding 3 × 3 × 3 × 3 = 81 total stable matchings.                     

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

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

💬 Token Consumption:
  Input tokens:        185,849
  Output tokens:       6,749
  Total tokens:        192,598

⏱️  Execution time: 1m 53.7s
==================================================


=== STDERR ===
