Return code: 0
Duration: 80.3s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("Task analysis complete. Starting implementa...
  python_exec: defining function create_asp_program()
  python_exec: defining function solve_latin_square()
  python_exec: defining function verify_solution()
  python_exec: output = {
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the Latin square puzzle using Answer Set Programming
(ASP) with the clingo Python API.                                               

                               Solution Approach:                               

 1 Modeled the problem with ASP predicates for cells, rows, columns, values, and
   parity                                                                       
 2 Encoded all constraints:                                                     
    • Latin square property (each value 1-8 appears exactly once per row and    
      column)                                                                   
    • Pre-filled cells enforcement                                              
    • Adjacent horizontal pair sums must be > 5                                 
    • Top-left quadrant must have exactly 8 even numbers                        
    • Bottom-right quadrant must have exactly 8 odd numbers                     
    • Row 1 first 4 cells sum = 14                                              
    • Column 1 first 4 cells sum = 10                                           
 3 Verified the solution against all constraints - all passed!                  

The final solution has been saved to 036_latin_square_hard_task_code.py and     
produces the required JSON output format.                                       

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

🔧 Tool Usage:
  python_exec            5 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        88,696
  Output tokens:       4,143
  Total tokens:        92,839

⏱️  Execution time: 1m 19.3s
==================================================


=== STDERR ===
