
    Given a continuous stream of patient vital sign data where '1' represents normal readings and '0' represents irregular readings, find the time window that shows the most concerning pattern by calculating the maximum difference between irregular and normal readings in any continuous monitoring period. The difference is calculated by subtracting the count of normal readings from irregular readings in each possible time window of the monitoring data.
    

    
def find_length(string):
    """
    Given a continuous stream of patient vital sign data where '1' represents normal readings and '0' represents irregular readings, find the time window that shows the most concerning pattern by calculating the maximum difference between irregular and normal readings in any continuous monitoring period. The difference is calculated by subtracting the count of normal readings from irregular readings in each possible time window of the monitoring data.
    

    """
def find_length(string):
    """
    Given a continuous stream of patient vital sign data where '1' represents normal readings and '0' represents irregular readings, find the time window that shows the most concerning pattern by calculating the maximum difference between irregular and normal readings in any continuous monitoring period. The difference is calculated by subtracting the count of normal readings from irregular readings in each possible time window of the monitoring data.
    

    """
    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