
    Design a fraud detection function that analyzes a binary sequence of credit card security flags over multiple time windows, where each digit represents a triggered (1) or non-triggered (0) security rule. The function should determine how many different time-shifted versions of this security pattern would raise an odd number of alerts when interpreted as a binary number. The analysis should consider n different time window shifts of the original pattern to identify potentially suspicious transaction sequences.
    

    
def odd_Equivalent(s, n):
    """
    Design a fraud detection function that analyzes a binary sequence of credit card security flags over multiple time windows, where each digit represents a triggered (1) or non-triggered (0) security rule. The function should determine how many different time-shifted versions of this security pattern would raise an odd number of alerts when interpreted as a binary number. The analysis should consider n different time window shifts of the original pattern to identify potentially suspicious transaction sequences.
    

    """
def odd_Equivalent(s, n):
    """
    Design a fraud detection function that analyzes a binary sequence of credit card security flags over multiple time windows, where each digit represents a triggered (1) or non-triggered (0) security rule. The function should determine how many different time-shifted versions of this security pattern would raise an odd number of alerts when interpreted as a binary number. The analysis should consider n different time window shifts of the original pattern to identify potentially suspicious transaction sequences.
    

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