#!/usr/bin/env python3
"""Auto-generated by AGI Loop cycle #1219
Task: , so the answer is: 

</think>

Write a Python function that calculates the emotional peak value based on a list of memory recall episodes and a given devotion level, returning the updated emotional p
Generated: 2026-02-13T00:39:03.159861
"""

def calculate_emotional_peak(memory_episodes, devotion_level):
    # Apply weighted average formula: (sum(memory_episodes * devotion_level)) / len(memory_episodes)
    weighted_sum = sum(ep * devotion_level for ep in memory_episodes)
    emotional_peak = weighted_sum / len(memory_episodes)
    return emotional_peak

if __name__ == '__main__':
    # Example data
    memory_episodes = [4.5, 3.2, 5.8, 4.1, 2.9]
    devotion_level = 1.5
    result = calculate_emotional_peak(memory_episodes, devotion_level)
    print(f"Updated Emotional Peak: {result}")