Return code: 0
Duration: 119.8s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function generate_facts()
  python_exec: asp_program = """
  python_exec: defining function solve_stable_matching()
  python_exec: if stable_matchings:
  python_exec: print(f"Total stable matchings found: {len(stable_...
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed succe...

Perfect! I have successfully completed the stable matching task. Here's a       
summary:                                                                        


                                Solution Summary                                

I implemented a complete stable matching solver for the hospital-resident       
problem using Answer Set Programming (ASP) with the clingo Python API.          

                                 Key Features:                                  

 1 Correct Model: Found exactly 81 stable matchings as expected                 
 2 Efficient Constraints:                                                       
    • Mutual acceptability (both parties must list each other)                  
    • Hospital capacity limits                                                  
    • Stability (no blocking pairs)                                             
 3 Clean ASP Design:                                                            
    • Choice rules for generating matchings                                     
    • Helper predicates for readability (prefers_over_current, would_accept)    
    • Eliminative constraints to prevent blocking pairs                         
 4 Complete Output: JSON format with all 81 stable matchings and count          

                                  Performance:                                  

 • Execution time: Well under 10 seconds                                        
 • All 40 residents matched in each solution                                    
 • Problem correctly decomposes into independent blocks (A1, A2, A3, A4 with 3  
   matchings each, B1, B2, B3 with 1 each: 3×3×3×3 = 81)                        

The solution demonstrates proper ASP modeling techniques including choice rules,
aggregates, and stability constraints for the classic stable matching problem.  

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

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

💬 Token Consumption:
  Input tokens:        480,877
  Output tokens:       6,433
  Total tokens:        487,310

⏱️  Execution time: 1m 58.4s
==================================================


=== STDERR ===
