Return code: 0
Duration: 202.3s

=== 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 create_asp_program()
  python_exec: defining function on_model()
  python_exec: print("Original timeline:", sorted(solution_data['...
  python_exec: defining function create_asp_program_v2()
  python_exec: defining function on_model_v2()
  python_exec: defining function on_model_v2()
  python_exec: defining function create_asp_program_v2()
  python_exec: event_years = {
  python_exec: print("=== VERIFICATION ===\n")
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 061_historical_counterfactual_hard_task_code.py
  report_issue: {'text': 'All is fine - no iss...

Perfect! I have successfully completed the task. Here's a summary of what was   
accomplished:                                                                   


                                Solution Summary                                

I created an ASP-based solution that models alternative history scenarios with  
complex dependencies. The solution correctly handles:                           

                           Key Features Implemented:                            

 1 Two Timeline Analysis: Computes both original and alternate timelines        
 2 Deterministic Pivot Selection: Original timeline selects the earliest-year   
   event from mutually exclusive pivot groups (age_of_sail at year 1400 vs      
   age_of_steam at year 1700)                                                   
 3 Conditional Prerequisites: Implements "requires X unless Y" logic for        
   alternate_industrial_revolution                                              
 4 Intervention Handling: Prevents specified events and cascades effects to     
   dependent events                                                             
 5 Difference Detection: Identifies prevented and activated events between      
   timelines                                                                    

                                    Results:                                    

Original Timeline (9 events):                                                   

 • Chooses age_of_sail (earliest pivot)                                         
 • Enables discovery_of_new_world and global_trade_routes                       
 • alternate_industrial_revolution requires global_trade_routes (since          
   age_of_steam didn't occur)                                                   

Alternate Timeline (9 events):                                                  

 • age_of_sail prevented by intervention                                        
 • age_of_steam chosen (only available pivot)                                   
 • Enables industrial_revolution and information_age                            
 • alternate_industrial_revolution's conditional is satisfied (age_of_steam     
   occurred)                                                                    

Prevented Events: age_of_sail, discovery_of_new_world, global_trade_routes      
Activated Events: age_of_steam, industrial_revolution, information_age          

The solution is logically consistent, runs efficiently, and produces the correct
JSON output format.                                                             

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

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

💬 Token Consumption:
  Input tokens:        363,425
  Output tokens:       11,985
  Total tokens:        375,410

⏱️  Execution time: 3m 21.2s
==================================================


=== STDERR ===
2025-10-12 12:27:10,260 - coder.kernel - WARNING - Existing kernel is dead, will restart
