Let’s just go back to our example and see what an amazing thing you’ve just programmed. We had a uniform distribution over places, each place has a probability of 0.2. And then you wrote a piece of code that use the measurement to turn this prior into a posterior, in which the probability of the two red cells for the factor of three larger and the posterior of the green cells. You’ve done exactly what I gave you intuitively in the beginning as the secret of localization. You manipulate a probability distribution over places into a new one by incorporating the measurement. In fact, let’s go back to our code, and test in your code whether we get a good result when we replace our measurement red by green. So, please type green into your measurement variable, and rerun your code to see if you get the correct result.