Programming Assignment 1 Checklist: Percolation

Can I add (or remove) methods to (or from) Percolation or PercolationStats? No. You must implement the APIs exactly as specified, with the identical set of public methods and signatures (or you will receive a substantial deduction). However, you are encouraged to add private methods that enhance the readability, maintainability, and modularity of your program.

What is unit testing? In your main() you are expected to show any testing you did of your code. At a minimum this includes calling all constructors and methods in the class. Any testing you did to debug your program should also be shown here. The autograder will not call it but you will fail the API check if it is not there.

Why is it so important to implement the prescribed API? Writing to an API is an important skill to master because it is an essential component of modular programming, whether you are developing software by yourself or as part of a group. When you develop a module that properly implements an API, anyone using that module (including yourself, perhaps at some later time) does not need to revisit the details of the code for that module when using it. This approach greatly simplifies writing large programs, developing software as part of a group, or developing software for use by others.

Most important, when you properly implement an API, others can write software to use your module or to test it. We do this regularly when grading your programs. For example, your PercolationStats client should work with our Percolation data type and vice versa. If you add an extra public method to Percolation and call them from PercolationStats, then your client won't work with our Percolation data type. Conversely, our PercolationStats client may not work with your Percolation data type if you remove a public method.

How many lines of code should my program be? You should strive for clarity and efficiency. Our reference solution for Percolation.java is about 80 lines, plus a test client. Our PercolationStats.java client is about 60 lines. If you are re-implementing the union-find data structure (instead of reusing the implementations provided), you are on the wrong track.

What should stddev() return if T equals 1? The sample standard deviation is undefined. We recommend returning Double.NaN but we will not test this case.

After the system has percolated, PercolationVisualizer colors in light blue all sites connected to open sites on the bottom (in addition to those connected to open sites on the top). Is this "backwash" acceptable? Yes. While allowing backwash does not strictly conform to the Percolation API, it requires quite a bit of ingenuity to fix. It is extra credit if you are able to implement a solution that meets the performance requirements and has no backwash.

How do I generate a site uniformly at random among all blocked sites for use in PercolationStats? Pick a site at random (by using StdRandom to generate two integers between 0 (inclusive) and n (exclusive) and use this site if it is blocked; if not, repeat.

I don't get reliable timing information in PercolationStats when n = 200. What should I do? Increase the size of n (say to 400, 800, and 1600), until the mean running time exceeds its standard deviation.

Testing. We provide two clients that serve as large-scale visual traces. We highly recommend using them for testing and debugging your Percolation implementation.

Visualization client. PercolationVisualizer.java animates the results of opening sites in a percolation system specified by a file by performing the following steps:

Sample data files. The directory percolation contains some sample files for use with the visualization client. Associated with most input .txt file is an output .png file that contains the desired graphical output at the end of the visualization.

InteractiveVisualization client. InteractivePercolationVisualizer.java is similar to the first test client except that the input comes from a mouse (instead of from a file). It takes a command-line integer n that specifies the grid size. As a bonus, it writes to standard output the sequence of sites opened in the same format used by PercolationVisualizer, so you can use it to prepare interesting files for testing. If you design an interesting data file, feel free to share it with us and your classmates by posting it in the discussion forums.

Install a Java programming environment. The easiest way to accomplish this is to use the auto-installer for Mac OS X or Windows.
Consider not worrying about backwash for your first attempt. You can revise your implementation once you have solved the problem without handling backwash.
For each method in Percolation that you must implement (open(), percolates(), etc.), make a list of which methods (QuickFindUF or WeightedQuickUnionUF) might be useful for implementing that method. This should help solidify what you're attempting to accomplish. Do not write your own union-find data structure or algorithms.
Using the list of methods from the API as a guide, choose instance variables that you'll need to solve the problem. Don't overthink this, you can always change them later. Instead, use your list of instance variables to guide your thinking as you follow the steps below, and make changes to your instance variables as you go.
Plan how you're going to map from a 2-dimensional (row, column) pair to a 1-dimensional union find object index. We recommend writing a private method to convert from 2D coordinates to 1D coordinates (instead of copying and pasting the conversion formula multiples times).
Write a private method for validating indices. Since each method is supposed to throw an exception for invalid indices, you should write a private method which performs this validation process.
Write the open() method and the Percolation() constructor. The open() method should do three things. First, it should validate the indices of the site that it receives. Second, it should somehow mark the site as open and increment the number of open sites by one (if the site is not already open). Third, it should perform some sequence of union-find operations that links the site in question to its open neighbors. The constructor and instance variables should facilitate the open() method's ability to do its job.
Test the open() method and the Percolation() constructor. These tests should be in main(). An example of a simple test is to create a percolation object with N = 2, then call open(0, 1) and open(1, 1), and finally to call percolates().
Write the percolates(), isOpen(), and isFull() methods. These should be very simple methods. Each of the methods (except the constructor) in Percolation must use a constant number of union-find operations. If you have a for loop inside of one of your Percolation methods, you're probably doing it wrong. Don't forget about the virtual-top / virtual-bottom trick described in lecture.
Test your complete implementation using the two visualization clients. Then when submitting, your Percolation class should use the WeightedQuickUnionUF class. If you submit with either UF or QuickFindUF, your code will fail the timing tests.
Write and test the PercolationStats class. Use standard random and standard statistics.
Analysis of algorithms. Review Lecture 2, especially the section on estimating running time and the doubling hypothesis. Analyze your program using each of QuickFindUF and WeightedQuickUnionUF by answering the questions provided in the readme.txt file.

A video is provided for those wishing additional assistance. Be forewarned that video was made in early 2014 and is somewhat out of date. For example the API has changed.