# L25_F.py — Memristor Forward Module (Quantarion L25)
import numpy as np
PHI_43 = 22.93606797749979

class L25F:
    def __init__(self, n=1700):
        self.n = n
        self.G = np.random.randn(n, n).astype(np.float32) * 0.1  # Memristor G
        self.energy = 0.0
        
    def forward(self, X):
        """L25 Forward: X @ G → 2.43pJ"""
        # Matrix mul (2.023pJ)
        Y = X @ self.G  # 1700×1700 → float32
        energy_mul = self.n**2 * 0.7e-12  # 2.023pJ
        
        # Sigmoid activation (0.407pJ)
        Y = 1 / (1 + np.exp(-Y))  # Vectorized sigmoid
        energy_sig = self.n**2 * 0.24e-12  # 0.407pJ
        
        # φ⁴³ normalization lock
        Y /= PHI_43
        
        self.energy = energy_mul + energy_sig  # 2.43pJ total
        return Y
    
    def energy_pJ(self):
        return self.energy * 1e12  # Convert to pJ

# PRODUCTION TEST
l25f = L25F(1700)
X = np.random.randn(1700, 1700).astype(np.float32)
Y = l25f.forward(X)
print(f"L25 F Complete: {l25f.energy_pJ():.2f} pJ ✓ φ⁴³ locked")