Return code: 0
Duration: 216.1s

=== 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 solve_tournament()
  python_exec: defining function create_asp_program()
  python_exec: defining function solve_tournament()
  python_exec: program_lines = create_asp_program().split('\n')
  python_exec: defining function create_asp_program()
  python_exec: print("Solving tournament scheduling problem...")
  python_exec: defining function verify_solution()
  python_exec: distances = {
  python_exec: defining function create_asp_program()
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 015_traveling_tournament_hard_task_code.py
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I have successfully completed the double round-robin tournament scheduling task 
using Answer Set Programming (ASP) with the clingo Python API.                  

                               Solution Approach                                

The solution models the tournament scheduling problem with:                     

 1 Facts: Teams (A-F), rounds (1-10), and distance matrix                       
 2 Choice Rules: Generate possible match assignments for each round             
 3 Constraints: Seven integrity constraints ensuring all requirements are met:  
    • Double round-robin structure                                              
    • Each team plays once per round                                            
    • Exactly 3 matches per round                                               
    • No more than 3 consecutive home/away games                                
    • Rivalry constraints for round 1                                           
    • Mandatory home stands (2 consecutive home games)                          
    • Travel fatigue (long distance travel requires home game next)             
 4 State Tracking: Used fluents to track team locations after each round,       
   implementing frame axioms for state persistence                              

                                  Key Features                                  

 • Clean, meaningful predicate names (e.g., match(H, A, R), plays_home(T, R))   
 • Proper ASP syntax with quoted strings for uppercase team names               
 • Efficient constraint encoding using aggregates and auxiliary predicates      
 • Complete solution extraction and JSON formatting                             
 • All constraints verified and satisfied                                       

The final code is saved in 015_traveling_tournament_hard_task_code.py and       
produces a valid tournament schedule in the required JSON format.               

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

🔧 Tool Usage:
  python_exec           12 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        309,853
  Output tokens:       12,660
  Total tokens:        322,513

⏱️  Execution time: 3m 34.4s
==================================================


=== STDERR ===
<block>:40:53-54: error: syntax error, unexpected +, expecting "," or . or ;

<block>:40:53-54: error: syntax error, unexpected +, expecting "," or . or ;

