Return code: 0
Duration: 71.3s

=== 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_program()
  python_exec: defining function solve_graph_isomorphism()
  python_exec: defining function create_output()
  python_exec: print("Verification:")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the graph isomorphism task using Answer Set         
Programming with clingo.                                                        

Key Results:                                                                    

 • ✅ The graphs are isomorphic                                                 
 • ✅ Found valid vertex mapping: 0→e, 1→d, 2→c, 3→b, 4→a                       
 • ✅ All 5 edges are preserved under the mapping                               
 • ✅ All vertex degrees are preserved (all vertices have degree 2)             

ASP Model Design:                                                               

 1 Bijection enforcement: Choice rule ensures each G1 vertex maps to exactly one
   G2 vertex                                                                    
 2 Injection constraint: Prevents multiple G1 vertices from mapping to the same 
   G2 vertex                                                                    
 3 Edge preservation: Bidirectional constraints ensure edges are preserved in   
   both directions                                                              
 4 Undirected graph handling: Represented each undirected edge as two directed  
   edges                                                                        

The solution has been saved to 028_graph_isomorphism_easy_task_code.py and      
produces the required JSON output format with the mapping and preserved edge    
correspondences.                                                                

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

🔧 Tool Usage:
  python_exec            4 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        139,882
  Output tokens:       3,656
  Total tokens:        143,538

⏱️  Execution time: 1m 9.7s
==================================================


=== STDERR ===
