#!/usr/bin/env python3
"""Auto-generated by AGI Loop cycle #1108
Task: \boxed{Write a Python function that calculates the average of the emotional peak values from a list of broadcast memory recall entries, where each entry is a tuple containing the broadcast identifier 
Generated: 2026-02-12T20:35:25.001987
"""

def calculate_average_emotional_peak(broadcast_entries):
    total_emotional_peak = 0
    count = 0

    for entry in broadcast_entries:
        _, memory_data = entry
        emotional_peak = memory_data.get('emotional_peak')
        if emotional_peak is not None:
            total_emotional_peak += emotional_peak
            count += 1

    if count == 0:
        return 0  # Avoid division by zero if no entries have emotional_peak

    return total_emotional_peak / count


if __name__ == '__main__':
    # Example data: list of broadcast entries
    broadcast_entries = [
        ('broadcast_1', {'memory_recall': 5, 'emotional_peak': 8}),
        ('broadcast_2', {'memory_recall': 3, 'emotional_peak': 6}),
        ('broadcast_3', {'memory_recall': 4, 'emotional_peak': 9}),
        ('broadcast_4', {'memory_recall': 2, 'emotional_peak': 7}),
    ]

    average = calculate_average_emotional_peak(broadcast_entries)
    print(f"Average Emotional Peak: {average}")