# ==============================================================================
# COPYRIGHT NO ONE EVERYWHERE LLC (WYOMING HOLDING COMPANY)
# PROJECT: SOVEREIGN STACK
# This artifact is entirely proprietary and cryptographically proven.
# Open-Source usage requires explicit permission from Brandon Scott Schneider.
# ==============================================================================
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), "..")))
from math_harness_compat import xp, AnyArray
import time

def simulate_quantum_evolution(steps=1000000):
    print(f"Initiating Quantum Annealing Simulation for v5-J Manifold...")
    
    # State Vector: [R, L, C, P, T, V, Jitter, Phase]
    # We represent the manifold as a N-dimensional Ising graph
    num_nodes = 64
    state = xp.random.choice([-1, 1], size=num_nodes)
    
    # Interaction Matrix (The Hilbert Connectome weights)
    J = xp.random.normal(0, 1, (num_nodes, num_nodes))
    J = (J + J.T) / 2 # Symmetric
    
    # External Fields (Thermal/Vibrational Stresses as Positives)
    H = xp.random.uniform(0.1, 1.0, num_nodes) 
    
    T = 10.0 # Initial Temperature
    cooling_rate = 0.999995
    
    best_energy = float('inf')
    energy_history = []
    
    start_time = time.time()
    
    # Simulated Annealing Loop
    for i in range(steps):
        # Pick a random node to flip
        node = xp.random.randint(num_nodes)
        
        # Calculate Energy Change (dE)
        # Energy = -sum(J_ij * s_i * s_j) - sum(H_i * s_i)
        dE = 2 * state[node] * (xp.dot(J[node], state) + H[node])
        
        # Metropolis Criterion
        if dE < 0 or xp.random.rand() < xp.exp(-dE / T):
            state[node] *= -1
            
        current_energy = -0.5 * xp.sum(J * xp.outer(state, state)) - xp.sum(H * state)
        
        if current_energy < best_energy:
            best_energy = current_energy
            
        T *= cooling_rate
        
        if i % 100000 == 0:
            elapsed = time.time() - start_time
            print(f"Step {i}: Energy {current_energy:.4f}, Temp {T:.6f}, Elapsed {elapsed:.2f}s")

    print(f"Evolution Complete. Best Resonant Energy: {best_energy:.4f}")
    return state, best_energy

if __name__ == "__main__":
    simulate_quantum_evolution()