
    Given a customer's transaction history string where '1' represents successful transactions and '0' represents failed transactions, determine the largest discrepancy between the number of failed and successful transactions within any continuous period of their banking history. This analysis will help assess the customer's credit reliability by identifying the most significant pattern of transaction inconsistencies.
    

    
def find_length(string):
    """
    Given a customer's transaction history string where '1' represents successful transactions and '0' represents failed transactions, determine the largest discrepancy between the number of failed and successful transactions within any continuous period of their banking history. This analysis will help assess the customer's credit reliability by identifying the most significant pattern of transaction inconsistencies.
    

    """
def find_length(string):
    """
    Given a customer's transaction history string where '1' represents successful transactions and '0' represents failed transactions, determine the largest discrepancy between the number of failed and successful transactions within any continuous period of their banking history. This analysis will help assess the customer's credit reliability by identifying the most significant pattern of transaction inconsistencies.
    

    """
    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