Return code: 0
Duration: 70.0s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function generate_asp_program()
  python_exec: defining function solve_partition()
  python_exec: edges = [
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the balanced graph partitioning task using Answer   
Set Programming with clingo.                                                    

Solution Found:                                                                 

 • Partition 1: [2, 3, 6, 7]                                                    
 • Partition 2: [0, 1, 4, 5]                                                    
 • Cut Size: 3 (optimal)                                                        
 • Cut Edges: (1,2), (4,6), (5,7)                                               

Approach:                                                                       

 1 Modeled vertices and edges as ASP facts                                      
 2 Used choice rules to assign vertices to partition 1                          
 3 Applied cardinality constraint to ensure exactly 4 vertices per partition    
 4 Defined cut edges as edges crossing between partitions                       
 5 Used constraint :- cut_size(N), N > 3. to find solutions with cut size ≤ 3   
   (as per the optimization guidance in the instructions)                       

The solution is balanced (4 vertices in each partition) and achieves the        
expected optimal cut size of 3 edges.                                           

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

🔧 Tool Usage:
  python_exec            3 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        118,644
  Output tokens:       3,380
  Total tokens:        122,024

⏱️  Execution time: 1m 8.7s
==================================================


=== STDERR ===
