Return code: 0
Duration: 93.0s

=== 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: asp_program = """
  python_exec: defining function on_model()
  python_exec: sequence = solution['sequence']
  python_exec: defining function on_model()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the car assembly line scheduling task using Answer  
Set Programming with clingo.                                                    

Solution Found: ["B", "C", "C", "B", "C", "A"]                                  

This sequence satisfies all constraints:                                        

 • ✓ Exactly 6 cars (1×A, 2×B, 3×C)                                             
 • ✓ Option 1 (sunroof): at most 2 in every 3 consecutive cars                  
 • ✓ Option 2 (leather): at most 1 in every 2 consecutive cars                  
 • ✓ Option 3 (GPS): at most 1 in every 2 consecutive cars                      

Key ASP Techniques Used:                                                        

 1 Choice rules to assign one car type per position                             
 2 Aggregate counting (#count) to enforce car type quotas                       
 3 Sliding window constraints to check capacity limits across consecutive       
   positions                                                                    
 4 Derived predicates to map positions to their options based on car type       

The solution has been saved to 037_car_sequencing_easy_task_code.py and outputs 
the result in the required JSON format.                                         

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

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

💬 Token Consumption:
  Input tokens:        166,719
  Output tokens:       4,669
  Total tokens:        171,388

⏱️  Execution time: 1m 32.0s
==================================================


=== STDERR ===
2025-10-12 17:46:53,592 - coder.kernel - WARNING - Existing kernel is dead, will restart
