Use Python to create a Markov chain generator function named markov. The generator function should take a starting point (an integer). With each pass of the resultant generator object to next, a random step from the last point returned (or from the starting point if no point has yet been returned) should be performed. The result of this step should be returned after the step is taken. The starting point need not be the first value returned. The steps can be -1, 0, or 1 unit from the last point returned (or the starting point if no point has yet been returned).

Let's start with

import random

def markov(start: int):