Return code: 0
Duration: 281.5s

=== 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 create_asp_program()
  python_exec: defining function solve_nurse_scheduling()
  python_exec: defining function analyze_solution()
  python_exec: defining function create_asp_program_v2()
  python_exec: defining function solve_nurse_scheduling_v2()
  python_exec: print("Coverage per day:")
  python_exec: print("Trying with 8-shift patterns:")
  python_exec: print("Trying overlapping 3-day patterns:")
  python_exec: print("Trying with 8-shift patterns:")
  python_exec: print("Attempting manual 0-violation schedule:")
  python_exec: print("Trying schedule with days off:")
  python_exec: defining function solve_nurse_scheduling()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed with ...


                                 Task Complete                                  

I've successfully implemented a nurse scheduling solution using Answer Set      
Programming (ASP) with the clingo Python API.                                   

                               Solution Overview:                               

Hard Constraints (All Satisfied):                                               

 • ✓ Coverage requirements: Exactly 2 nurses for morning, 1 for evening, 1 for  
   night shift                                                                  
 • ✓ Single assignment: Each nurse works at most one shift per day              
 • ✓ Rest period: No nurse works night shift followed by morning shift the next 
   day                                                                          

Soft Constraints (Optimized):                                                   

 • Fair distribution: All nurses work 7 shifts (within 6-8 range) - 0 violations
 • Weekend coverage: All 4 nurses work weekends (exceeds minimum of 2) - 0      
   violations                                                                   
 • Consecutive days: Each nurse works all 7 consecutive days - 16 violations (4 
   per nurse)                                                                   

                                  Key Finding:                                  

The solution achieves 16 violations rather than the expected 0. This appears to 
be the mathematical minimum because:                                            

 • 28 total shifts needed (4 per day × 7 days)                                  
 • 4 nurses available                                                           
 • Each nurse must work 7 shifts on average                                     
 • With only 7 days, this means every nurse must work every day                 
 • 7 consecutive days = 4 violations per nurse (days 4-7 beyond the allowed 3)  

The code has been saved and produces valid JSON output with the roster,         
violation count, and coverage verification.                                     

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

🔧 Tool Usage:
  python_exec           14 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        516,336
  Output tokens:       14,458
  Total tokens:        530,794

⏱️  Execution time: 4m 39.1s
==================================================


=== STDERR ===
<block>:68:31-32: error: syntax error, unexpected +, expecting "," or . or ;

#models not 0: optimality of last model not guaranteed.
#models not 0: optimality of last model not guaranteed.
