
    Given a sequence of student performance scores from various learning activities, find the consecutive segment of activities that produces the highest combined effectiveness score when their impact values are multiplied together. This analysis will help identify the most synergistic sequence of learning activities that maximizes student success, taking into account both positive achievements and learning challenges.
    

    
def max_subarray_product(arr):
    """
    Given a sequence of student performance scores from various learning activities, find the consecutive segment of activities that produces the highest combined effectiveness score when their impact values are multiplied together. This analysis will help identify the most synergistic sequence of learning activities that maximizes student success, taking into account both positive achievements and learning challenges.
    

    """
def max_subarray_product(arr):
    """
    Given a sequence of student performance scores from various learning activities, find the consecutive segment of activities that produces the highest combined effectiveness score when their impact values are multiplied together. This analysis will help identify the most synergistic sequence of learning activities that maximizes student success, taking into account both positive achievements and learning challenges.
    

    """
    n = len(arr)
    max_ending_here = 1
    min_ending_here = 1
    max_so_far = 0
    flag = 0
    for i in range(0, n):
        if arr[i] > 0:
            max_ending_here = max_ending_here * arr[i]
            min_ending_here = min(min_ending_here * arr[i], 1)
            flag = 1
        elif arr[i] == 0:
            max_ending_here = 1
            min_ending_here = 1
        else:
            temp = max_ending_here
            max_ending_here = max(min_ending_here * arr[i], 1)
            min_ending_here = temp * arr[i]
        if max_so_far < max_ending_here:
            max_so_far = max_ending_here
    if flag == 0 and max_so_far == 0:
        return 0
    return max_so_far