
    Develop a function that calculates the actual delivery route metrics by comparing the ideal route conditions against real-time traffic and weather adjustments for a delivery fleet. The function should take two tuples as input - one containing the baseline metrics (expected travel times, distances, fuel consumption) and another containing the corresponding adjustment factors due to current conditions - and return the adjusted metrics by subtracting the adjustment factors from the baseline values. The resulting calculations will help dispatchers make informed decisions about route modifications.
    

    
def substract_elements(test_tup1, test_tup2):
    """
    Develop a function that calculates the actual delivery route metrics by comparing the ideal route conditions against real-time traffic and weather adjustments for a delivery fleet. The function should take two tuples as input - one containing the baseline metrics (expected travel times, distances, fuel consumption) and another containing the corresponding adjustment factors due to current conditions - and return the adjusted metrics by subtracting the adjustment factors from the baseline values. The resulting calculations will help dispatchers make informed decisions about route modifications.
    

    """
def substract_elements(test_tup1, test_tup2):
    """
    Develop a function that calculates the actual delivery route metrics by comparing the ideal route conditions against real-time traffic and weather adjustments for a delivery fleet. The function should take two tuples as input - one containing the baseline metrics (expected travel times, distances, fuel consumption) and another containing the corresponding adjustment factors due to current conditions - and return the adjusted metrics by subtracting the adjustment factors from the baseline values. The resulting calculations will help dispatchers make informed decisions about route modifications.
    

    """
    res = tuple(map(lambda i, j: i - j, test_tup1, test_tup2))
    return res