Return code: 0
Duration: 92.5s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("Task planning complete. Starting implementa...
  python_exec: defining function solve_magic_square()
  python_exec: defining function verify_solution()
  python_exec: output = {
  python_exec: print("=== DETAILED VERIFICATION ===\n")
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 018_magic_square_hard_task_code.py
  report_issue: {'text': 'All is fine - no iss...

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


                                Solution Summary                                

I created an ASP-based solution using the clingo Python API that finds a valid  
4×4 magic square satisfying all the complex constraints:                        

                                 Key Features:                                  

 1 ASP Model: Encoded all constraints as ASP rules:                             
    • Uniqueness: Each number 1-16 used exactly once                            
    • Magic sums: All rows, columns, and diagonals sum to 34                    
    • Symmetrical pairs: Opposite cells sum to 17                               
    • Quadrant sums: Each 2×2 quadrant sums to 34                               
    • Prime placement: Primes {2,3,5,7} forbidden in corners                    
 2 Solution Found:                                                              
                                                                                
    [4,  5,  14, 11]                                                            
    [9,  16, 7,  2 ]                                                            
    [15, 10, 1,  8 ]                                                            
    [6,  3,  12, 13]                                                            
                                                                                
 3 Verification: All constraints verified programmatically                      
 4 Output: Properly formatted JSON with validation flags                        

The solution executes in under 1 second and produces the exact output format    
required.                                                                       

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

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

💬 Token Consumption:
  Input tokens:        109,364
  Output tokens:       5,325
  Total tokens:        114,689

⏱️  Execution time: 1m 30.9s
==================================================


=== STDERR ===
