Return code: 0
Duration: 440.7s

=== 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: asp_program = """
  python_exec: defining function on_model()
  python_exec: analyzing/aggregating data
  python_exec: asp_program = """
  python_exec: defining function on_model()
  python_exec: asp_program_debug = """
  python_exec: asp_program_v2 = """
  python_exec: print("Full solution:")
  python_exec: print("Analyzing connection structure...")
  python_exec: print("Checking one-way constraint...")
  python_exec: defining function check_model()
  python_exec: print("String comparison test:")
  python_exec: asp_program_v3 = """
  python_exec: print("=== Solution Verification ===\n")
  python_exec: print("=== FINAL SOLUTION ===\n")
  python_exec: defining function on_model()
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'Task completed succe...

Perfect! I have successfully completed the Metroidvania game world design task  
using Answer Set Programming with clingo.                                       


                                    Summary                                     

The solution models a complex game world with:                                  

 • 12 rooms (Start, R1-R10, Goal)                                               
 • 6 items (4 keys + 2 equipment pieces)                                        
 • 2 special room types (Flooded and Chasm)                                     
 • 32 directed connections (15 bidirectional pairs + 1 one-way non-Goal + 1     
   one-way to Goal)                                                             

                         Key Features of the ASP Model:                         

 1 Choice Rules: Generate item placements, special room assignments, and        
   connections                                                                  
 2 Cardinality Constraints: Enforce connection counts (10-15 bidirectional,     
   exactly 1 one-way excluding Goal)                                            
 3 Canonical Counting: Use ordered pairs (R1 < R2) to avoid double-counting     
   connections                                                                  
 4 Keyed Path Constraint: Ensure bidirectional key-locked paths have keyless    
   returns                                                                      
 5 Reachability Model: Level-based exploration with item collection simulation  
 6 Special Room Traversal: Require Boots for Flooded rooms and Grapple for Chasm
   rooms                                                                        
 7 Goal Timing: Ensure Goal is reachable only after all other rooms             

The solution satisfies all constraints and generates a valid, solvable          
Metroidvania level design.                                                      

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

🔧 Tool Usage:
  python_exec           19 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        821,280
  Output tokens:       23,945
  Total tokens:        845,225

⏱️  Execution time: 7m 19.4s
==================================================


=== STDERR ===
2025-10-12 12:12:35,547 - coder.kernel - WARNING - Existing kernel is dead, will restart
<block>:62:25-28: error: syntax error, unexpected not, expecting )

<block>:62:25-28: error: syntax error, unexpected not, expecting )

