Helping Jennifer

def list_as_precedence_matrix(a_response):
    # Initialize to zero
    return_matrix = [[0 for row in range(NUMBER_OF_FRAGMENTS)]
        for column in range(NUMBER_OF_FRAGMENTS)]

    # Foreach number 'n1' in a_response:
    #     Foreach number 'n2' that comes after 'n1' in a_response:
    #         return_matrix[n1][n2] = 1
    for index_of_first in range(len(a_response) - 1):
        for index_of_second in range(index_of_first + 1, len(a_response)):
            value1, value2 = int(a_response[index_of_first]), int(a_response[index_of_second])
            return_matrix[value1 - 1][value2 - 1] = 1

    # Return the response matrix
    return return_matrix


def pointwise_product(a_matrix, a_second_matrix):
    return [[a_matrix[row][column] * a_second_matrix[row][column]
        for column in range(NUMBER_OF_FRAGMENTS)]
        for row in range(NUMBER_OF_FRAGMENTS)]

    # NOTE: For this assignment, you really only have to calculate the products
    # for the cells in the upper triangle. This is because you're only summing
    # the cells in the upper triangle. I've included code that would do just
    # that, but I wouldn't turn it in because it doesn't return a true pointwise
    # product.
    
    # Initialize to zero
    return_matrix = [[0 for row in range(NUMBER_OF_FRAGMENTS)]
        for column in range(NUMBER_OF_FRAGMENTS)]

    # Calculate the products for cells in the upper triangle
    for row in range(NUMBER_OF_FRAGMENTS):
        for column in range(row + 1, NUMBER_OF_FRAGMENTS):
            return_matrix[row][column] = a_matrix[row][column] * a_second_matrix[row][column]


def sum_of_upper_triangle(a_matrix):
    sum_returned = 0

    # Foreach row in a_matrix:
    #     Foreach column in row, where column starts at row + 1:
    #         sum += a_matrix[row][column]
    for row in range(NUMBER_OF_FRAGMENTS):
        for column in range(row + 1, NUMBER_OF_FRAGMENTS):
            sum_returned += a_matrix[row][column]

    return sum_returned