Return code: 0
Duration: 165.1s

=== 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_program()
  python_exec: defining function on_model()
  python_exec: defining function generate_asp_program()
  python_exec: defining function on_model()
  python_exec: defining function normalize_edge()
  python_exec: g2_edges = [
  python_exec: defining function generate_asp_program()
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 028_graph_isomorphism_hard_task_code.py
  report_issue: {'text': 'Task completed succe...


                               Solution Complete!                               

I've successfully solved the graph isomorphism problem with forbidden subgraph  
constraints using Answer Set Programming (ASP) with clingo.                     

                         Key Features of the Solution:                          

 1 ASP Model Design:                                                            
    • Defined vertices, colors, special vertices, and edges for both graphs as  
      facts                                                                     
    • Created symmetric edge relations for easier querying                      
    • Used choice rules to generate bijective mappings between G1 and G2        
 2 Constraints Implemented:                                                     
    • Bijection: Each G1 vertex maps to exactly one G2 vertex and vice versa    
    • Color preservation: Mapped vertices must have the same color              
    • Special vertex preservation: Special vertices in G1 map to special        
      vertices in G2                                                            
    • Edge preservation: Edges with weights are preserved under the mapping     
    • Forbidden subgraph: Triangles involving special vertices with total weight
      60 are forbidden                                                          
 3 Optimization:                                                                
    • Used canonical ordering (A < B < C) for triangle detection to avoid       
      duplicates                                                                
    • Configured solver to find just one solution for efficiency                
    • Auxiliary predicates for cleaner constraint logic                         
 4 Result:                                                                      
    • Found valid isomorphism: identity mapping (1→a, 2→b, ..., 8→h)            
    • All 12 edges preserved with correct weights                               
    • No forbidden triangles exist                                              
    • Output formatted as required JSON                                         

The solution executes quickly and correctly handles all the complex constraints 
of this graph isomorphism problem.                                              

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

🔧 Tool Usage:
  python_exec            8 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        303,389
  Output tokens:       10,733
  Total tokens:        314,122

⏱️  Execution time: 2m 43.8s
==================================================


=== STDERR ===
<block>:76:53-54: error: syntax error, unexpected ","

