Return code: 0
Duration: 125.4s

=== 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: if result.satisfiable and solution_data:
  python_exec: defining function on_model2()
  python_exec: defining function on_model_final()
  python_exec: print("=== Detailed 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 Overview:                                                              

The ASP model schedules all 6 exams (E1-E6) across 3 time slots and 2 rooms (R1,
R2) while satisfying all constraints:                                           

 1 All exams scheduled: Each exam assigned to exactly one time slot and room    
 2 No student conflicts: Students enrolled in multiple exams have them scheduled
   at different times                                                           
 3 Room capacity respected: All exams have 2 students, well within the capacity 
   of 3                                                                         
 4 Unique assignments: Only one exam per room per time slot                     

Final Schedule:                                                                 

 • Day 1, Slot 1: E3 (R2), E4 (R1)                                              
 • Day 1, Slot 2: E5 (R2), E6 (R1)                                              
 • Day 2, Slot 1: E1 (R1), E2 (R2)                                              

Room Utilization: R1: 3 exams, R2: 3 exams (perfectly balanced)                 

The solution has been saved to 058_exam_scheduling_easy_task_code.py and        
verified to resolve all conflicts correctly.                                    

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

🔧 Tool Usage:
  python_exec            7 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        215,620
  Output tokens:       6,058
  Total tokens:        221,678

⏱️  Execution time: 2m 4.2s
==================================================


=== STDERR ===
