code: def get_out_of_order(list_of_numbers):
    
    # TODO: Consider changing this to only check for out-of-order
    # steps within a particular tag.
    result = []
    # pylint: disable=consider-using-enumerate
    for i in range(len(list_of_numbers)):
      if i == 0:
        continue
      if list_of_numbers[i] < list_of_numbers[i - 1]:
        result.append((list_of_numbers[i - 1], list_of_numbers[i]))
    return result
docs: Returns elements that break the monotonically non-decreasing trend.
  
    This is used to find instances of global step values that are "out-of-order",
    which may trigger TensorBoard event discarding logic.
  
    Args:
      list_of_numbers: A list of numbers.
  
    Returns:
      A list of tuples in which each tuple are two elements are adjacent, but the
      second element is lower than the first.