# 7.14. Exercises¶

The code for this chapter is in the Jupyter notebook chap07.ipynb in the repository for this book. Open this notebook, read the code, and run the cells. You can use this notebook to work on the exercises in this chapter.

Exercise 1: Write a version of correlate that returns the same result as np.correlate with mode='same'. Hint: use the NumPy function pad.

Exercise 2: This exercise asks you to experiment with Rule 110 and some of its spaceships.

2. Create a Rule 110 CA with an initial condition that yields the stable background pattern. Note that the Cell1D class provides start_string, which allows you to initialize the state of the array using a string of 1s and 0s.

3. Modify the initial condition by adding different patterns in the center of the row and see which ones yield spaceships. You might want to enumerate all possible patterns of n bits, for some reasonable value of n. For each spaceship, can you find the period and rate of translation? What is the biggest spaceship you can find?

4. What happens when spaceships collide?

Exercise 3: The goal of this exercise is to implement a Turing machine.

2. Write a class called Turing that implements a Turing machine. For the action table, use the rules for a 3-state busy beaver.

3. Write a class named TuringViewer that generates an image that represents the state of the tape and the position and state of the head. For one example of what that might look like.