Return code: 0
Duration: 92.7s

=== 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 generate_asp_program()
  python_exec: defining function solve_graph_isomorphism()
  python_exec: defining function format_output()
  python_exec: print("Verification:")
  python_exec: defining function generate_asp_program()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed succe...


                                Task Complete! ✓                                

I've successfully solved the graph isomorphism problem using Answer Set         
Programming with clingo.                                                        

Solution Summary:                                                               

The two graphs are isomorphic with the following vertex mapping:                

 • 0 → c                                                                        
 • 1 → a                                                                        
 • 2 → e                                                                        
 • 3 → b                                                                        
 • 4 → d                                                                        

Key Implementation Details:                                                     

 1 ASP Model Design:                                                            
    • Generated facts for vertices and edges (bidirectional for undirected      
      graphs)                                                                   
    • Used choice rule to create bijection: each G1 vertex maps to exactly one  
      G2 vertex                                                                 
    • Enforced injection: no two G1 vertices can map to the same G2 vertex      
    • Constrained edge preservation in both directions                          
 2 Constraints Implemented:                                                     
    • Edge preservation: If (u,v) exists in G1, then (f(u),f(v)) must exist in  
      G2                                                                        
    • Reverse preservation: All G2 edges must have corresponding G1 edges       
    • This ensures complete structural equivalence                              
 3 Verification:                                                                
    • All 5 edges from G1 correctly map to edges in G2                          
    • All 5 edges in G2 are covered by mapped G1 edges                          
    • The solution satisfies all isomorphism requirements                       

The solution has been saved to 028_graph_isomorphism_easy_task_code.py and      
produces the required JSON output format.                                       

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

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

💬 Token Consumption:
  Input tokens:        192,356
  Output tokens:       5,334
  Total tokens:        197,690

⏱️  Execution time: 1m 31.6s
==================================================


=== STDERR ===
