
    In an adaptive learning system, determine how many unique difficulty sequences would result in below-average student performance when cyclically shifting a binary performance pattern (where 1 represents correct answers and 0 represents incorrect answers) by the specified number of rotations. Each rotation shifts the pattern one position to the right, and a sequence is considered "below-average" if its decimal value is odd when interpreted as a binary number.
    

    
def odd_Equivalent(s, n):
    """
    In an adaptive learning system, determine how many unique difficulty sequences would result in below-average student performance when cyclically shifting a binary performance pattern (where 1 represents correct answers and 0 represents incorrect answers) by the specified number of rotations. Each rotation shifts the pattern one position to the right, and a sequence is considered "below-average" if its decimal value is odd when interpreted as a binary number.
    

    """
def odd_Equivalent(s, n):
    """
    In an adaptive learning system, determine how many unique difficulty sequences would result in below-average student performance when cyclically shifting a binary performance pattern (where 1 represents correct answers and 0 represents incorrect answers) by the specified number of rotations. Each rotation shifts the pattern one position to the right, and a sequence is considered "below-average" if its decimal value is odd when interpreted as a binary number.
    

    """
    count = 0
    for i in range(0, n):
        if s[i] == '1':
            count = count + 1
    return count