cleanup

test_cob_model.py

@@ -1,45 +0,0 @@
-#!/usr/bin/env python3
-"""
-Test script to verify COB RL model extraction
-"""
-
-print('=== COB RL MODEL AUDIT ===')
-
-# Test the extracted COB RL model
-try:
-    from NN.models.cob_rl_model import MassiveRLNetwork, COBRLModelInterface
-    
-    print('1. Testing MassiveRLNetwork...')
-    model = MassiveRLNetwork()
-    model_info = model.get_model_info()
-    
-    print('   ✓ Model created successfully')
-    print(f'   ✓ Total parameters: {model_info["total_parameters"]:,}')
-    print(f'   ✓ Architecture: {model_info["architecture"]}')
-    
-    print('2. Testing COBRLModelInterface...')
-    interface = COBRLModelInterface()
-    print(f'   ✓ Interface created on device: {interface.device}')
-    
-    print('3. Testing imports from models module...')
-    from NN.models import MassiveRLNetwork as ImportedModel
-    print('   ✓ Models properly exported')
-    
-    print()
-    print('=== AUDIT SUMMARY ===')
-    print('✅ COB RL MODEL EXTRACTION SUCCESSFUL')
-    print('🧠 The 1B parameter model is now in: NN/models/cob_rl_model.py')
-    print('   - MassiveRLNetwork: Core transformer model')
-    print('   - COBRLModelInterface: Training/inference interface')
-    print()
-    print('📊 Model Details:')
-    print(f'   - Parameters: {model_info["total_parameters"]:,} (~1B)')
-    print(f'   - Input size: {model_info["input_size"]} (COB features)')
-    print(f'   - Hidden size: {model_info["hidden_size"]}')
-    print(f'   - Layers: {model_info["num_layers"]}')
-    print('   - Output: Price direction, value, confidence')
-    
-except Exception as e:
-    print(f'❌ Audit failed: {e}')
-    import traceback
-    traceback.print_exc()