Return code: 0
Duration: 104.9s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("=== Task 1: Problem Analysis ===")
  python_exec: analyzing/aggregating data
  python_exec: defining function solve_max_flow()
  python_exec: print("=== Task 7: Verification ===")
  python_exec: defining function solve_max_flow()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                Task Complete! ✓                                

I've successfully solved the maximum flow problem with budgetary constraints and
flow type balancing using Answer Set Programming with the clingo API.           

                              Solution Highlights:                              

ASP Model Design:                                                               

 • Used meaningful predicates: flow(From, To, Amount), edge(From, To, Capacity, 
   Cost, Type)                                                                  
 • Encoded all constraints as integrity constraints using the eliminative       
   approach                                                                     
 • Used aggregates for flow conservation, budget calculation, and flow type     
   balancing                                                                    
 • Maximized total flow into the sink using #maximize                           

Key Constraints Implemented:                                                    

 1 Flow Conservation: Incoming = Outgoing for intermediate nodes                
 2 Budget: Total cost ≤ 100 (solution uses exactly 100)                         
 3 Priority Nodes: Nodes 3 and 5 have ≥75% premium outgoing flow (achieved 100%)
 4 Flow Balancing: Standard flow ≥ 50% of premium flow (achieved 175%)          

Results:                                                                        

 • Maximum Flow: 12 (as expected)                                               
 • Total Cost: 100 (at budget limit)                                            
 • All constraints satisfied ✓                                                  
 • Execution time: < 1 second                                                   

The solution is saved in 031_network_flow_hard_task_code.py and outputs the     
result as a JSON object with the maximum flow value and detailed flow           
assignments for all edges.                                                      

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

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

💬 Token Consumption:
  Input tokens:        101,210
  Output tokens:       5,795
  Total tokens:        107,005

⏱️  Execution time: 1m 43.9s
==================================================


=== STDERR ===
