
    Given the current number of active ride requests in a service area, determine the smallest batch size (which must be a power of 2) that can accommodate all pending requests for the ride-sharing algorithm's processing cycle. This batch size optimization ensures efficient grouping of ride requests while maintaining the system's processing capacity constraints.
    

    
def next_power_of_2(n):
    """
    Given the current number of active ride requests in a service area, determine the smallest batch size (which must be a power of 2) that can accommodate all pending requests for the ride-sharing algorithm's processing cycle. This batch size optimization ensures efficient grouping of ride requests while maintaining the system's processing capacity constraints.
    

    """
def next_power_of_2(n):
    """
    Given the current number of active ride requests in a service area, determine the smallest batch size (which must be a power of 2) that can accommodate all pending requests for the ride-sharing algorithm's processing cycle. This batch size optimization ensures efficient grouping of ride requests while maintaining the system's processing capacity constraints.
    

    """
    if n and (not n & n - 1):
        return n
    count = 0
    while n != 0:
        n >>= 1
        count += 1
    return 1 << count