Return code: 0
Duration: 89.9s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function create_asp_program()
  python_exec: defining function solve_exam_scheduling()
  python_exec: defining function verify_solution()
  python_exec: defining function create_asp_program()
  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. Here's what was accomplished:     

                               Solution Overview                                

The solution models the exam scheduling problem with:                           

 • 8 exams (E1-E8) to be scheduled                                              
 • 6 students (S1-S6) with specific course enrollments                          
 • 4 time slots (1-4)                                                           
 • 3 rooms (R1, R2, R3) with different types (classroom/lab) and capacities     

                              ASP Model Structure                               

 1 Facts: Defined all entities (exams, students, time slots, rooms), their      
   properties (room types, capacities), and relationships (student enrollments, 
   exam requirements)                                                           
 2 Choice Rule: Each exam is assigned to exactly one time slot and one room     
                                                                                
    1 { scheduled(E, T, R) : time_slot(T), room(R) } 1 :- exam(E).              
                                                                                
 3 Constraints: Implemented all five requirements:                              
    • Student conflict prevention                                               
    • Room conflict prevention                                                  
    • Room type matching                                                        
    • Room capacity enforcement                                                 

                                     Result                                     

The solver found a valid schedule that satisfies all constraints:               

 • Lab exams (E7, E8) are scheduled in the lab room (R3)                        
 • Classroom exams (E1-E6) are scheduled in classroom rooms (R1, R2)            
 • No student has conflicting exams                                             
 • No room is double-booked                                                     
 • All capacity limits are respected                                            

The solution has been saved to 058_exam_scheduling_hard_task_code.py and        
executes efficiently within the time limit.                                     

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

🔧 Tool Usage:
  python_exec            4 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        111,996
  Output tokens:       5,416
  Total tokens:        117,412

⏱️  Execution time: 1m 28.7s
==================================================


=== STDERR ===
