Return code: 0
Duration: 266.9s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: import clingo
  python_exec: defining function build_asp_program()
  python_exec: defining function solve_scheduling()
  python_exec: defining function build_asp_program_debug()
  python_exec: defining function build_asp_program_fixed()
  python_exec: defining function build_asp_program_with_cost_constraint()
  python_exec: defining function verify_solution()
  python_exec: print("Checking adjacent pairs logic:")
  python_exec: defining function build_asp_program_correct()
  python_exec: defining function verify_solution_detailed()
  python_exec: final_solution = solution_correct
  save_code: {'code': 'import clingo\nimpor...
  python_exec: executing file 019_course_timetabling_hard_task_code.py
  report_issue: {'text': 'All is fine - no iss...

Perfect! I have successfully completed the course scheduling task using Answer  
Set Programming with clingo.                                                    


                                    Summary                                     

The solution schedules 8 courses into 4 rooms across 6 time slots while         
satisfying all constraints:                                                     

  1 ✓ Each course scheduled exactly once                                        
  2 ✓ No room conflicts (one course per room per time)                          
  3 ✓ No teacher conflicts (one course per teacher per time)                    
  4 ✓ Room capacities respected                                                 
  5 ✓ Teacher availability honored                                              
  6 ✓ Room features matched (lab for Chemistry, projectors for programming      
    courses)                                                                    
  7 ✓ Prerequisites satisfied (Physics I before II, Intro→Data                  
    Structures→Algorithms)                                                      
  8 ✓ Student conflicts avoided (Physics II ≠ Literature, Chemistry ≠ Intro     
    Programming)                                                                
  9 ✓ Evening limit (max 2 courses in slot 5)                                   

Achieved cost: 0 (no adjacent same-department course pairs), matching the       
expected optimal value.                                                         

The solution uses efficient ASP modeling with the cost constraint as a hard     
bound rather than optimization, ensuring fast solving within the time limit.    

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

🔧 Tool Usage:
  python_exec           12 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        424,017
  Output tokens:       16,963
  Total tokens:        440,980

⏱️  Execution time: 4m 25.8s
==================================================


=== STDERR ===
<block>:68:26-33: info: atom does not occur in any rule head:
  room(R)

<block>:68:26-33: info: atom does not occur in any rule head:
  room(R)

2025-10-12 11:48:51,692 - coder.kernel - WARNING - Existing kernel is dead, will restart
