### Problem: Differential Privacy
In this problem, we will implement differential privacy to protect sensitive data.
**Example:** Consider a dataset that contains sensitive information about individuals. We want to release a summary of the data without revealing any individual information.
**Constraints:** Use NumPy to generate random data and labels. Implement the Laplace mechanism to add noise to the summary.
Test Cases
Test Case 1
Input:
[1, 2, 3, 4, 5]Expected:
3.0Test Case 2
Input:
[10, 20, 30, 40, 50]Expected:
30.0+ 3 hidden test cases