Return code: 0
Duration: 93.3s

=== 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 on_model()
  python_exec: schedule_sorted = sorted(schedule, key=lambda x: x...
  python_exec: print("=== VERIFICATION ===\n")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

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

                               Solution Approach:                               

 1 Modeled the problem with clear ASP predicates:                               
    • Facts for exams, students, time slots, rooms, enrollments, and            
      requirements                                                              
    • Choice rule to assign each exam to exactly one time slot and room         
    • Five constraints to enforce all requirements                              
 2 Implemented all constraints:                                                 
    • ✅ Complete scheduling (enforced by choice rule)                          
    • ✅ Student conflicts (no student has two exams at same time)              
    • ✅ Room conflicts (no room hosts multiple exams at same time)             
    • ✅ Room type matching (exams scheduled in appropriate room types)         
    • ✅ Room capacity (enrollment doesn't exceed room capacity)                
 3 Found a valid solution that schedules all 8 exams across 4 time slots and 3  
   rooms                                                                        
 4 Verified correctness - all constraints are satisfied                         

The solution has been saved to 058_exam_scheduling_hard_task_code.py and outputs
the schedule in the required JSON format.                                       

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

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

💬 Token Consumption:
  Input tokens:        91,078
  Output tokens:       4,610
  Total tokens:        95,688

⏱️  Execution time: 1m 32.3s
==================================================


=== STDERR ===
