#!/usr/bin/env python3
"""Differential privacy aggregation in Python."""
from confium.privacy import dp_query
true_count = 1234
epsilon = 0.5
# Each call adds fresh Laplace noise
for _ in range(5):
noisy = dp_query(true_count, sensitivity=1, epsilon=epsilon)
print(f"True: {true_count} → Published: {noisy:.2f}")
print("✅ DP aggregation demo complete.")