
    Given a list of transaction amounts from various banking systems, round each amount to the nearest whole currency unit, then calculate and return the product of the total sum and the number of transactions as a fraud detection metric. This calculation helps identify unusual patterns where both the volume and size of transactions deviate from normal behavior.
    

    
def round_and_sum(list1):
    """
    Given a list of transaction amounts from various banking systems, round each amount to the nearest whole currency unit, then calculate and return the product of the total sum and the number of transactions as a fraud detection metric. This calculation helps identify unusual patterns where both the volume and size of transactions deviate from normal behavior.
    

    """
def round_and_sum(list1):
    """
    Given a list of transaction amounts from various banking systems, round each amount to the nearest whole currency unit, then calculate and return the product of the total sum and the number of transactions as a fraud detection metric. This calculation helps identify unusual patterns where both the volume and size of transactions deviate from normal behavior.
    

    """
    lenght = len(list1)
    round_and_sum = sum(list(map(round, list1)) * lenght)
    return round_and_sum