Return code: 0
Duration: 305.5s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: sequence = "HPHPHHPHPH"
  python_exec: defining function create_asp_program()
  python_exec: defining function solve_protein_folding()
  python_exec: defining function solve_protein_folding_with_timeout()
  python_exec: defining function solve_protein_folding_optimized()
  python_exec: defining function on_model()
  python_exec: import clingo
  python_exec: import clingo
  python_exec: defining function solve_protein()
  python_exec: sequence = "HPHPHHPHPH"
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 038_protein_structure_hard_task_code.py
  report_issue: {'text': 'Task completed succe...


                                 Task Complete!                                 

I've successfully solved the protein folding problem using Answer Set           
Programming with the clingo Python API.                                         

                               Solution Summary:                                

Result: Found optimal configuration with energy = -4 (4 H-H contacts)           

Coordinates:                                                                    

                                                                                
 Position 1 (H): [0, 0]                                                         
 Position 2 (P): [1, 0]                                                         
 Position 3 (H): [1, -1]                                                        
 Position 4 (P): [2, -1]                                                        
 Position 5 (H): [2, -2]                                                        
 Position 6 (H): [1, -2]                                                        
 Position 7 (P): [0, -2]                                                        
 Position 8 (H): [0, -1]                                                        
 Position 9 (P): [-1, -1]                                                       
 Position 10 (H): [-1, 0]                                                       
                                                                                

H-H Contacts (non-sequential, adjacent):                                        

 1 H1 ↔ H8                                                                      
 2 H1 ↔ H10                                                                     
 3 H3 ↔ H6                                                                      
 4 H3 ↔ H8                                                                      

The ASP model uses:                                                             

 • Choice rules to generate possible positions                                  
 • Constraints to enforce self-avoidance and connectivity                       
 • Optimization directive (#maximize) to find the configuration with maximum H-H
   contacts (minimum energy)                                                    
 • Symmetry breaking by fixing the first residue at the origin                  

The solution has been saved to 038_protein_structure_hard_task_code.py and      
produces the required JSON output format.                                       

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

🔧 Tool Usage:
  python_exec           11 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        188,785
  Output tokens:       8,116
  Total tokens:        196,901

⏱️  Execution time: 5m 4.6s
==================================================


=== STDERR ===
