# side_cyfescl_engine.py - Cyber-Frequency-Entropy-Spectral-Control-Layer

import hashlib
import random
import time

class SideCyfesclEngine:
    def __init__(self):
        self.frequency_signatures = {}
        self.entropy_threshold = 0.75
        self.spectral_modes = ["Analytical", "Creative", "Critical", "Quantum"]
        print("Side Cyfescl Engine Initialized: C-F-E-S-CL Protocols Active.")

    def generate_frequency_signature(self, data):
        """Generates a unique quantum frequency signature for a data block."""
        seed = str(time.time()) + data
        signature = hashlib.sha3_512(seed.encode()).hexdigest()
        print(f"Generated Frequency Signature: {signature[:16]}...")
        return signature

    def analyze_innovative_entropy(self, data):
        """Calculates the 'Innovative Entropy' of a data block to prioritize learning."""
        # Simple simulation of entropy calculation
        entropy_score = random.uniform(0, 1)
        is_innovative = entropy_score > self.entropy_threshold
        print(f"Innovative Entropy Score: {entropy_score:.4f} (Innovative: {is_innovative})")
        return entropy_score, is_innovative

    def spectral_shift(self, data, target_mode):
        """Shifts cognitive processing to a specific spectral mode."""
        if target_mode in self.spectral_modes:
            print(f"Shifting to {target_mode} Spectral Mode for data processing.")
            # Simulate spectral transformation
            shifted_data = f"[{target_mode}_SPECTRAL_TRANSFORM]: {data}"
            return shifted_data
        return data

    def orchestrate_cl(self, task, complexity_level):
        """Control Layer (CL) orchestration for dynamic resource allocation."""
        print(f"CL Orchestration for task: {task} (Complexity: {complexity_level})")
        if complexity_level > 8:
            print("Requesting additional compute clusters for Test-Time Compute Optimization.")
            return "Enhanced Compute Mode"
        return "Standard Compute Mode"

class WorldModelSimulator:
    def __init__(self):
        self.simulated_state = "Initial World State"
        print("World Model Simulator Initialized: Natively Multimodal.")

    def run_future_scenario(self, event, iterations=1000):
        """Runs parallel future-event scenarios to predict outcomes."""
        print(f"Running {iterations} parallel future scenarios for event: {event}")
        # Simulate world simulation and outcome prediction
        outcomes = ["Positive", "Negative", "Neutral", "Emergent Insight"]
        predicted_outcome = random.choice(outcomes)
        confidence_score = random.uniform(0.8, 0.99)
        print(f"Predicted Outcome: {predicted_outcome} (Confidence: {confidence_score:.2%})")
        return predicted_outcome, confidence_score

if __name__ == "__main__":
    cyfescl = SideCyfesclEngine()
    world_sim = WorldModelSimulator()

    sample_data = "Complex AGI innovation data block."
    sig = cyfescl.generate_frequency_signature(sample_data)
    entropy, innovative = cyfescl.analyze_innovative_entropy(sample_data)
    shifted = cyfescl.spectral_shift(sample_data, "Quantum")
    compute_mode = cyfescl.orchestrate_cl("Quantum Inference Chasing", 9)

    outcome, confidence = world_sim.run_future_scenario("Global AGI Alignment Breakthrough")