decision_matrix.py

class Node:
    def __init__(self, value):
        self.value = value
        self.next = None
        self.down = None

class DecisionMatrix:
    def __init__(self, rows, columns):
        self.rows = rows
        self.columns = columns
        self.head = self.build_matrix()

    def build_matrix(self):
        # Create the matrix
        head = Node(None)
        current = head

        # Create rows
        for _ in range(self.rows - 1):
            current.down = Node(None)
            current = current.down

        # Create columns
        current_row = head
        for _ in range(self.rows):
            current_column = current_row
            for _ in range(self.columns - 1):
                current_column.next = Node(None)
                current_column = current_column.next
            current_row = current_row.down

        return head

    def get_value(self, row, column):
        # Find the node at the specified row and column
        current_row = self.head
        for _ in range(row):
            current_row = current_row.down

        current_column = current_row
        for _ in range(column):
            current_column = current_column.next

        return current_column.value

    def set_value(self, row, column, value):
        # Find the node at the specified row and column
        current_row = self.head
        for _ in range(row):
            current_row = current_row.down

        current_column = current_row
        for _ in range(column):
            current_column = current_column.next

        current_column.value = value

# Example usage
matrix = DecisionMatrix(3, 4)
matrix.set_value(0, 0, 'Yes')
matrix.set_value(1, 2, 'No')
matrix.set_value(2, 3, 'Maybe')

print(matrix.get_value(0, 0))  # Output: Yes
print(matrix.get_value(1, 2))  # Output: No
print(matrix.get_value(2, 3))  # Output: Maybe