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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def get_out_of_order(list_of_numbers):
 """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. """

  # 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