
    Design a function for a bank's loan assessment system that determines how many unique unfavorable credit evaluations would result from analyzing a customer's credit history pattern from different starting points. Given a binary sequence of past loan approvals and rejections, and the number of different assessment perspectives to consider, calculate how many of these rotated assessment views would result in an unfavorable credit score.
    

    
def odd_Equivalent(s, n):
    """
    Design a function for a bank's loan assessment system that determines how many unique unfavorable credit evaluations would result from analyzing a customer's credit history pattern from different starting points. Given a binary sequence of past loan approvals and rejections, and the number of different assessment perspectives to consider, calculate how many of these rotated assessment views would result in an unfavorable credit score.
    

    """
def odd_Equivalent(s, n):
    """
    Design a function for a bank's loan assessment system that determines how many unique unfavorable credit evaluations would result from analyzing a customer's credit history pattern from different starting points. Given a binary sequence of past loan approvals and rejections, and the number of different assessment perspectives to consider, calculate how many of these rotated assessment views would result in an unfavorable credit score.
    

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