
    Given a customer's payment history represented as a sequence where '1' indicates on-time payments and '0' indicates late payments, find the longest streak of payment inconsistency by calculating the maximum difference between the number of late payments and on-time payments in any continuous period. This analysis will help determine the customer's payment stability pattern for loan approval assessment.
    

    
def find_length(string):
    """
    Given a customer's payment history represented as a sequence where '1' indicates on-time payments and '0' indicates late payments, find the longest streak of payment inconsistency by calculating the maximum difference between the number of late payments and on-time payments in any continuous period. This analysis will help determine the customer's payment stability pattern for loan approval assessment.
    

    """
def find_length(string):
    """
    Given a customer's payment history represented as a sequence where '1' indicates on-time payments and '0' indicates late payments, find the longest streak of payment inconsistency by calculating the maximum difference between the number of late payments and on-time payments in any continuous period. This analysis will help determine the customer's payment stability pattern for loan approval assessment.
    

    """
    n = len(string)
    current_sum = 0
    max_sum = 0
    for i in range(n):
        current_sum += 1 if string[i] == '0' else -1
        if current_sum < 0:
            current_sum = 0
        max_sum = max(current_sum, max_sum)
    return max_sum if max_sum else 0