
    Write a function that identifies the number of transactions where the real-time spending amount, historical average spending, and machine learning predicted spending are exactly the same at corresponding time intervals. The function should compare three lists of transaction amounts - real-time transactions, historical averages, and ML predictions - and count only the instances where all three values match at the same position.
    

    
def count_samepair(list1, list2, list3):
    """
    Write a function that identifies the number of transactions where the real-time spending amount, historical average spending, and machine learning predicted spending are exactly the same at corresponding time intervals. The function should compare three lists of transaction amounts - real-time transactions, historical averages, and ML predictions - and count only the instances where all three values match at the same position.
    

    """
def count_samepair(list1, list2, list3):
    """
    Write a function that identifies the number of transactions where the real-time spending amount, historical average spending, and machine learning predicted spending are exactly the same at corresponding time intervals. The function should compare three lists of transaction amounts - real-time transactions, historical averages, and ML predictions - and count only the instances where all three values match at the same position.
    

    """
    result = sum((m == n == o for (m, n, o) in zip(list1, list2, list3)))
    return result