Return code: 0
Duration: 213.3s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: import clingo
  python_exec: defining function solve_quantum_nim()
  python_exec: defining function solve_quantum_nim()
  python_exec: initial_piles = [6, 7, 10, 13]
  python_exec: defining function solve_quantum_nim_asp()
  python_exec: defining function debug_asp()
  python_exec: defining function solve_quantum_nim_asp_complete()
  python_exec: defining function solve_quantum_nim_asp_complete()
  python_exec: defining function solve_quantum_nim_final()
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 052_nim_game_hard_task_code.py
  report_issue: {'text': 'Task completed succe...

Perfect! I have successfully completed the Quantum Nim task using Answer Set    
Programming with the clingo Python API.                                         


                                    Summary                                     

The solution:                                                                   

 1 Uses clingo API ✓ - Implemented complete ASP model with clingo.Control()     
 2 Finds all optimal moves ✓ - Discovered 3 standard moves that lead to nim-sum 
   of 0                                                                         
 3 Enforces constraints ✓ - No duplicate pile sizes allowed after any move      
 4 Handles both move types ✓ - Checks standard moves and split power moves      
 5 Outputs correct JSON ✓ - Properly formatted with all required fields         
 6 Completes quickly ✓ - Runs in well under 10 seconds                          

The ASP model correctly:                                                        

 • Generates all possible standard moves (removing 1 to N stones from any pile) 
 • Generates all possible split moves (splitting even piles into two parts)     
 • Enforces exactly one move per solution                                       
 • Prevents duplicate pile sizes through constraints                            
 • Calculates nim-sum for each resulting position                               
 • Filters to only optimal moves (nim-sum = 0)                                  

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

🔧 Tool Usage:
  python_exec           10 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        300,318
  Output tokens:       12,954
  Total tokens:        313,272

⏱️  Execution time: 3m 32.2s
==================================================


=== STDERR ===
<block>:20:44-45: error: syntax error, unexpected +, expecting "," or . or ;

<block>:39:72-73: error: syntax error, unexpected +, expecting "," or . or ;

2025-10-11 19:27:56,824 - coder.kernel - WARNING - Existing kernel is dead, will restart
