
    Write a function that analyzes a customer's transaction history to find the time period with the highest disparity between normal and suspicious transactions, where the transactions are represented as a sequence of normal (0) and suspicious (1) flags. The function should return the maximum difference between the count of normal and suspicious transactions for any continuous period in the customer's history.
    

    
def find_length(string):
    """
    Write a function that analyzes a customer's transaction history to find the time period with the highest disparity between normal and suspicious transactions, where the transactions are represented as a sequence of normal (0) and suspicious (1) flags. The function should return the maximum difference between the count of normal and suspicious transactions for any continuous period in the customer's history.
    

    """
def find_length(string):
    """
    Write a function that analyzes a customer's transaction history to find the time period with the highest disparity between normal and suspicious transactions, where the transactions are represented as a sequence of normal (0) and suspicious (1) flags. The function should return the maximum difference between the count of normal and suspicious transactions for any continuous period in the customer's history.
    

    """
    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