Return code: 0
Duration: 97.6s

=== STDOUT ===
🚀 Running coder
📦 Dynamic packages: clingo
🤖 Creating agent with model: anthropic/claude-sonnet-4.5
🤖 Using model: anthropic/claude-sonnet-4.5
  python_exec: print("Task 1: Problem analysis complete")
  python_exec: import clingo
  python_exec: defining function on_model()
  python_exec: output = {
  python_exec: print("Task 7: Verifying the steady state")
  save_code: {'code': 'import clingo\nimpor...
  report_issue: {'text': 'All is fine - no iss...


                                    Summary                                     

I've successfully completed the task of modeling a hierarchical Boolean gene    
regulatory network using Answer Set Programming. The solution:                  

                                 Key Features:                                  

 1 Modeled all 8 genes with binary states (active/inactive)                     
 2 Implemented complex bi-directional constraints:                              
    • Master regulator controlled by module balance                             
    • Conditional logic for Module 1 (toggle switches when master inactive, all 
      off when active)                                                          
    • Conditional logic for Module 2 (threshold-based when master inactive, ring
      oscillator when active)                                                   
    • Reporter based on Module 2 majority                                       
 3 Found 1 steady state:                                                        
                                                                                
    {                                                                           
      "master_reg": 0,                                                          
      "m1_g1": 1, "m1_g2": 0, "m1_g3": 1,                                       
      "m2_g1": 0, "m2_g2": 1, "m2_g3": 0,                                       
      "reporter": 1                                                             
    }                                                                           
                                                                                
 4 Verified correctness: All constraints are satisfied, and the repressive ring 
   oscillator (when master_reg is active) correctly has no steady state as      
   expected.                                                                    

The solution is saved to 042_gene_regulatory_network_hard_task_code.py and      
executes efficiently.                                                           

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

🔧 Tool Usage:
  python_exec            5 calls
  report_issue           1 calls
  save_code              1 calls

💬 Token Consumption:
  Input tokens:        170,077
  Output tokens:       5,579
  Total tokens:        175,656

⏱️  Execution time: 1m 35.7s
==================================================


=== STDERR ===
