Return code: 0
Duration: 82.3s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: defining function solve_course_scheduling()
  python_exec: defining function solve_course_scheduling()
  python_exec: courses = {
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

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

Solution Overview: The ASP model schedules all 5 courses into 3 rooms across 4  
time slots while satisfying all constraints:                                    

 1 ✓ Each course scheduled exactly once                                         
 2 ✓ No room conflicts (different courses can't use same room at same time)     
 3 ✓ No teacher conflicts (teachers can't teach multiple courses simultaneously)
 4 ✓ Room capacity constraints satisfied                                        
 5 ✓ Teacher availability constraints respected                                 

Key Implementation Features:                                                    

 • Used the "constrain at source" pattern to only generate valid assignments in 
   the choice rule                                                              
 • Applied bounded choice rule 1 { ... } 1 to ensure exactly one assignment per 
   course                                                                       
 • Encoded capacity and availability checks directly in the choice rule domain  
   for efficiency                                                               
 • Added integrity constraints to prevent room and teacher conflicts            

Final Schedule:                                                                 

 • Course 0 (Math, 25 students) → Room 1 (capacity 25), Slot 0                  
 • Course 1 (Physics, 20 students) → Room 1 (capacity 25), Slot 3               
 • Course 2 (Chemistry, 30 students) → Room 0 (capacity 40), Slot 3             
 • Course 3 (Biology, 15 students) → Room 2 (capacity 20), Slot 2               
 • Course 4 (Computer Science, 35 students) → Room 0 (capacity 40), Slot 1      

The solution has been saved to 019_course_timetabling_easy_task_code.py and     
outputs the result in the required JSON format.                                 

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

🔧 Tool Usage:
  python_exec            3 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        124,598
  Output tokens:       4,684
  Total tokens:        129,282

⏱️  Execution time: 1m 20.7s
==================================================


=== STDERR ===
<block>:34:29-36: info: atom does not occur in any rule head:
  room(R)

