Return code: 0
Duration: 84.0s

=== 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 solve_nurse_scheduling()
  python_exec: defining function format_solution()
  python_exec: defining function verify_solution()
  python_exec: defining function solve_nurse_scheduling()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...

Perfect! I've successfully completed the nurse scheduling task using Answer Set 
Programming (ASP) with the clingo Python API.                                   


                                Solution Summary                                

The solution models the nurse scheduling problem with:                          

ASP Predicates:                                                                 

 • nurse(1..5) - The 5 nurses                                                   
 • day(1..10) - The 10-day period                                               
 • shift(1..3) - The 3 shifts (1=Morning, 2=Evening, 3=Night)                   
 • required(S, Count) - Coverage requirements per shift                         
 • assigned(N, D, S) - Assignment of nurse N to shift S on day D                

Constraints Implemented:                                                        

 1 Coverage Requirements: Each shift must have exactly the required number of   
   nurses (2 morning, 1 evening, 1 night)                                       
 2 Single Assignment: No nurse works multiple shifts on the same day            
 3 Rest Period: No nurse works morning shift after working night shift          

Verification Results: ✓ All days have correct coverage ✓ No nurse works multiple
shifts on the same day ✓ No nurse works morning after night shift ✓ Solution    
found and verified successfully                                                 

The code has been saved to 016_nurse_rostering_hard_task_code.py and outputs a  
valid JSON roster satisfying all constraints.                                   

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

🔧 Tool Usage:
  python_exec            6 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        101,131
  Output tokens:       4,130
  Total tokens:        105,261

⏱️  Execution time: 1m 21.7s
==================================================


=== STDERR ===
