
    Develop a system that analyzes the n most recent vehicle sensor readings and reorganizes them to group all maintenance warnings (indicated by negative readings) before normal operational readings (positive values), while maintaining the chronological sequence within each group to identify maintenance patterns. The function should only process the specified time window of n readings from the sensor data array, leaving any older readings unchanged.
    

    
def re_arrange_array(arr, n):
    """
    Develop a system that analyzes the n most recent vehicle sensor readings and reorganizes them to group all maintenance warnings (indicated by negative readings) before normal operational readings (positive values), while maintaining the chronological sequence within each group to identify maintenance patterns. The function should only process the specified time window of n readings from the sensor data array, leaving any older readings unchanged.
    

    """
def re_arrange_array(arr, n):
    """
    Develop a system that analyzes the n most recent vehicle sensor readings and reorganizes them to group all maintenance warnings (indicated by negative readings) before normal operational readings (positive values), while maintaining the chronological sequence within each group to identify maintenance patterns. The function should only process the specified time window of n readings from the sensor data array, leaving any older readings unchanged.
    

    """
    j = 0
    for i in range(0, n):
        if arr[i] < 0:
            temp = arr[i]
            arr[i] = arr[j]
            arr[j] = temp
            j = j + 1
    return arr