
    Given a list of delivery route segment times, find the highest possible efficiency score calculated by multiplying the times of sequentially increasing route segments that can be combined into a continuous delivery path. The efficiency score represents the compound time-saving effect when compatible route segments are executed in sequence, where each selected segment must take longer than the previous one to account for increasing traffic density.
    

    
def max_product(arr):
    """
    Given a list of delivery route segment times, find the highest possible efficiency score calculated by multiplying the times of sequentially increasing route segments that can be combined into a continuous delivery path. The efficiency score represents the compound time-saving effect when compatible route segments are executed in sequence, where each selected segment must take longer than the previous one to account for increasing traffic density.
    

    """
def max_product(arr):
    """
    Given a list of delivery route segment times, find the highest possible efficiency score calculated by multiplying the times of sequentially increasing route segments that can be combined into a continuous delivery path. The efficiency score represents the compound time-saving effect when compatible route segments are executed in sequence, where each selected segment must take longer than the previous one to account for increasing traffic density.
    

    """
    n = len(arr)
    mpis = arr[:]
    for i in range(n):
        current_prod = arr[i]
        j = i + 1
        while j < n:
            if arr[j - 1] > arr[j]:
                break
            current_prod *= arr[j]
            if current_prod > mpis[j]:
                mpis[j] = current_prod
            j = j + 1
    return max(mpis)