#!/usr/bin/env python3
"""Auto-generated by AGI Loop cycle #1168
Task: \boxed{Write a Python function that calculates the emotional peak deviation from 1.00 based on given episodes and updates the drive parameter accordingly.}</think>

Write a Python function that calcul
Generated: 2026-02-12T22:42:15.394163
"""

import numpy as np

def update_drive(episodes):
    # Calculate the emotional peak for each episode
    emotional_peaks = np.array(episodes)
    
    # Calculate deviation from 1.00
    deviations = np.abs(emotional_peaks - 1.00)
    
    # Average deviation across episodes
    average_deviation = np.mean(deviations)
    
    # Update the drive parameter based on the average deviation
    # Simple linear relationship: drive = 1.0 - average_deviation
    drive = 1.0 - average_deviation
    
    return drive

if __name__ == '__main__':
    # Example episodes data
    episodes = [0.95, 1.05, 0.98, 1.02, 0.99]
    drive = update_drive(episodes)
    print(f"Updated drive parameter: {drive:.4f}")