Below is the syntax highlighted version of Performer.java
from §4.5 Case Study: Small World.
/****************************************************************************** * Compilation: javac SmallWorld.java * Execution: java SmallWorld filename delimiter * Dependencies: Graph.java PathFinder.java StdOut.java In.java * Data files: https://introcs.cs.princeton.edu/java/45graph/tinyMovies.txt * https://introcs.cs.princeton.edu/java/45graph/moviesG.txt * * % java Performer tinyMovies.txt "/" * number of vertices = 5 * average degree = 2.800 * average path length = 1.300 * clustering coefficient = 0.767 * * % java Performer moviesG.txt "/" * [ after a long time ] * number of vertices = 19044 * average degree = 148.688 * average path length = 3.494 * clustering coefficient = 0.911 * ******************************************************************************/ public class Performer { public static void main(String[] args) { String filename = args[0]; String delimiter = args[1]; Graph graph = new Graph(); In in = new In(filename); while (in.hasNextLine()) { String line = in.readLine(); String[] names = line.split(delimiter); for (int i = 1; i < names.length; i++) { for (int j = i+1; j < names.length; j++) { graph.addEdge(names[i], names[j]); } } } double degree = SmallWorld.averageDegree(graph); double length = SmallWorld.averagePathLength(graph); double cluster = SmallWorld.clusteringCoefficient(graph); StdOut.printf("number of vertices = %7d\n", graph.V()); StdOut.printf("average degree = %7.3f\n", degree); StdOut.printf("average path length = %7.3f\n", length); StdOut.printf("clustering coefficient = %7.3f\n", cluster); } }