
    Design an algorithm for a content moderation system that identifies sequences of n consecutive posts with escalating risk scores, where each post's risk score must be at least double the previous post's score and cannot exceed the maximum severity level m. The system needs to determine the total number of possible risk score sequences that could trigger this pattern-based violation detection.
    

    
def get_total_number_of_sequences(m, n):
    """
    Design an algorithm for a content moderation system that identifies sequences of n consecutive posts with escalating risk scores, where each post's risk score must be at least double the previous post's score and cannot exceed the maximum severity level m. The system needs to determine the total number of possible risk score sequences that could trigger this pattern-based violation detection.
    

    """
def get_total_number_of_sequences(m, n):
    """
    Design an algorithm for a content moderation system that identifies sequences of n consecutive posts with escalating risk scores, where each post's risk score must be at least double the previous post's score and cannot exceed the maximum severity level m. The system needs to determine the total number of possible risk score sequences that could trigger this pattern-based violation detection.
    

    """
    T = [[0 for i in range(n + 1)] for i in range(m + 1)]
    for i in range(m + 1):
        for j in range(n + 1):
            if i == 0 or j == 0:
                T[i][j] = 0
            elif i < j:
                T[i][j] = 0
            elif j == 1:
                T[i][j] = i
            else:
                T[i][j] = T[i - 1][j] + T[i // 2][j - 1]
    return T[m][n]