
    Given a list of estimated delivery times in hours for different routes, round each time estimate to the nearest hour and calculate the total fleet capacity requirement by multiplying the sum of rounded times with the total number of routes. This calculation helps determine the total driver hours needed across all delivery routes while accounting for route count scaling.
    

    
def round_and_sum(list1):
    """
    Given a list of estimated delivery times in hours for different routes, round each time estimate to the nearest hour and calculate the total fleet capacity requirement by multiplying the sum of rounded times with the total number of routes. This calculation helps determine the total driver hours needed across all delivery routes while accounting for route count scaling.
    

    """
def round_and_sum(list1):
    """
    Given a list of estimated delivery times in hours for different routes, round each time estimate to the nearest hour and calculate the total fleet capacity requirement by multiplying the sum of rounded times with the total number of routes. This calculation helps determine the total driver hours needed across all delivery routes while accounting for route count scaling.
    

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