/** * Benchmarks various matrix methods. */ public static void main(String args[]) { int runs = Integer.parseInt(args[0]); int rows = Integer.parseInt(args[1]); int columns = Integer.parseInt(args[2]); //int size = Integer.parseInt(args[3]); //boolean isSparse = args[4].equals("sparse"); String kind = args[3]; int initialCapacity = Integer.parseInt(args[4]); double minLoadFactor = new Double(args[5]).doubleValue(); double maxLoadFactor = new Double(args[6]).doubleValue(); boolean print = args[7].equals("print"); double initialValue = new Double(args[8]).doubleValue(); int size = rows; benchmark(runs,size,kind,print,initialCapacity,minLoadFactor,maxLoadFactor,initialValue); } }
/** * Benchmarks various matrix methods. */ public static void main(String args[]) { int runs = Integer.parseInt(args[0]); int rows = Integer.parseInt(args[1]); int columns = Integer.parseInt(args[2]); //int size = Integer.parseInt(args[3]); //boolean isSparse = args[4].equals("sparse"); String kind = args[3]; int initialCapacity = Integer.parseInt(args[4]); double minLoadFactor = new Double(args[5]).doubleValue(); double maxLoadFactor = new Double(args[6]).doubleValue(); boolean print = args[7].equals("print"); double initialValue = new Double(args[8]).doubleValue(); int size = rows; benchmark(runs,size,kind,print,initialCapacity,minLoadFactor,maxLoadFactor,initialValue); } }