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da0ce7b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 | #!/usr/bin/env python
"""Check Batten Matrix coherence Γ lambda Γ probability readings."""
from aureon_probability_nexus import EnhancedProbabilityNexus
import asyncio
async def check_nexus():
nexus = EnhancedProbabilityNexus()
# Check current state
state = nexus.get_current_state()
print('\nπ PROBABILITY NEXUS - COHERENCE Γ LAMBDA Γ PROBABILITY:\n')
print('=' * 70)
print(f'\nπ― Win rate: {state.get("win_rate", 0):.2%}')
print(f'π² Confidence: {state.get("confidence", 0):.4f}')
print(f'π Avg Coherence: {state.get("avg_coherence", 0):.4f}')
print(f'β‘ Lambda (stability): {state.get("lambda", 0):.4f}')
print(f'π Clarity: {state.get("clarity", 0):.4f}')
print(f'π Chaos: {state.get("chaos", 0):.4f}')
print(f'\nπ Total predictions: {state.get("total_predictions", 0)}')
print(f'β
Correct predictions: {state.get("correct_predictions", 0)}')
print(f'\nπ’ BATTEN MATRIX FORMULA:')
print(f' Score = Coherence Γ Lambda Γ Confidence')
coherence = state.get("avg_coherence", 0)
lambda_val = state.get("lambda", 0)
conf = state.get("confidence", 0)
score = coherence * lambda_val * conf
print(f' Score = {coherence:.4f} Γ {lambda_val:.4f} Γ {conf:.4f} = {score:.6f}')
print(f'\n Threshold for execution: 0.618 (Golden Ratio)')
print(f' Current score: {"π’ PASS" if score >= 0.618 else "π΄ FAIL"} ({score:.4f})')
print(f'\n{"=" * 70}\n')
return state
if __name__ == "__main__":
result = asyncio.run(check_nexus())
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