
    Given a list of passenger counts collected from sequential bus stops during peak hours, determine the most severe overcrowding pattern by arranging these counts to form the largest possible number, helping transit authorities identify critical congestion points requiring immediate intervention. The passenger count at each stop is represented as a single digit, and the arrangement should maintain the original count values while changing only their order to highlight the worst-case scenario.
    

    
def find_Max_Num(arr):
    """
    Given a list of passenger counts collected from sequential bus stops during peak hours, determine the most severe overcrowding pattern by arranging these counts to form the largest possible number, helping transit authorities identify critical congestion points requiring immediate intervention. The passenger count at each stop is represented as a single digit, and the arrangement should maintain the original count values while changing only their order to highlight the worst-case scenario.
    

    """
def find_Max_Num(arr):
    """
    Given a list of passenger counts collected from sequential bus stops during peak hours, determine the most severe overcrowding pattern by arranging these counts to form the largest possible number, helping transit authorities identify critical congestion points requiring immediate intervention. The passenger count at each stop is represented as a single digit, and the arrangement should maintain the original count values while changing only their order to highlight the worst-case scenario.
    

    """
    n = len(arr)
    arr.sort(reverse=True)
    num = arr[0]
    for i in range(1, n):
        num = num * 10 + arr[i]
    return num