Return code: 0
Duration: 79.2s

=== 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 create_asp_program()
  python_exec: defining function solve_nurse_scheduling()
  python_exec: defining function format_roster()
  python_exec: defining function verify_solution()
  python_exec: defining function solve_nurse_scheduling()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed succe...

Perfect! I've successfully completed the nurse scheduling task using Answer Set 
Programming. Here's what was accomplished:                                      


                               Solution Overview                                

The solution uses the clingo Python API to model and solve the nurse scheduling 
problem as a constraint satisfaction problem.                                   

                                Key Components:                                 

 1 ASP Model Structure:                                                         
    • Facts defining nurses (1-5), days (1-10), shifts (1-3), and coverage      
      requirements                                                              
    • Choice rule allowing flexible assignment of nurses to shifts              
    • Three constraints enforcing all hard requirements                         
 2 Constraints Implemented:                                                     
    • Coverage: Each shift gets exactly the required number of nurses (2        
      morning, 1 evening, 1 night)                                              
    • Single Assignment: Each nurse works at most one shift per day             
    • Rest Period: Nurses working night shift cannot work morning shift the next
      day                                                                       
 3 Verification:                                                                
    • Solution was verified to satisfy all constraints                          
    • Total of 40 assignments across 10 days (4 nurses per day)                 
    • All nurses properly scheduled with appropriate rest periods               

The final code has been saved to 016_nurse_rostering_hard_task_code.py and      
produces a valid JSON roster that meets all requirements.                       

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

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

💬 Token Consumption:
  Input tokens:        119,920
  Output tokens:       3,889
  Total tokens:        123,809

⏱️  Execution time: 1m 18.3s
==================================================


=== STDERR ===
