
    Design a function for the bank's fraud detection system that calculates the total risk severity by taking the number of suspicious patterns (n) and summing the squared risk scores of the first n odd-numbered anomaly categories. The risk score of each anomaly category corresponds to its position in the odd number sequence (1, 3, 5, etc.), and squaring these scores helps emphasize higher-risk patterns in the final severity assessment.
    

    
def square_Sum(n):
    """
    Design a function for the bank's fraud detection system that calculates the total risk severity by taking the number of suspicious patterns (n) and summing the squared risk scores of the first n odd-numbered anomaly categories. The risk score of each anomaly category corresponds to its position in the odd number sequence (1, 3, 5, etc.), and squaring these scores helps emphasize higher-risk patterns in the final severity assessment.
    

    """
def square_Sum(n):
    """
    Design a function for the bank's fraud detection system that calculates the total risk severity by taking the number of suspicious patterns (n) and summing the squared risk scores of the first n odd-numbered anomaly categories. The risk score of each anomaly category corresponds to its position in the odd number sequence (1, 3, 5, etc.), and squaring these scores helps emphasize higher-risk patterns in the final severity assessment.
    

    """
    return int(n * (4 * n * n - 1) / 3)