// import java.util.*;
public class Main {
public static void main(String[] args) {
// Jessie Zeng, CH, Week 1, Mock 1, PR_PracticeTest_1.pdf
// AP CS A
// FRQ 1, DiceSumlation
DiceSimulation s1 = new DiceSimulation(10, 6);
// int roll = s1.roll();
// System.out.println(roll);
int result = s1.runSimulation();
System.out.println(result);
// Output: ______
}
}
public class DiceSimulation
{
/** Sample size of simulation */
private int numSampleSize;
/** Number of faces on each die */
private int numFaces;
/** Constructs a DiceSimulation where sampleSize is the number of rolls to be simulated and
* faces is the number of faces on each dice (some dice have many more or fewer than 6 faces)
*/
public DiceSimulation(int numSamples, int faces)
{
numSampleSize = numSamples;
numFaces = faces;
}
/** Returns an integer from 1 to the number of faces to simulate a die roll */
public int roll()
{
// to be implemented in part (a)
int roll = (int) (Math.random()*numFaces)+1;
return roll;
}
/** Simulates rolling two dice with the number faces given, for the number of sample size
* rolls. Returns the percentage of matches that were rolled
* as an integer (e.g., 0.50 would be 50)
*/
public int runSimulation()
{
// to be implemented in part (b)
int matches = 0;
for (int i = 0; i < numSampleSize; i++) {
int roll1 = roll();
int roll2 = roll();
// System.out.println(roll1 + " " + roll2);
if (roll1 == roll2) {
matches++;
}
}
// System.out.println(matches);
// The following line is Jessie's code.
// return (int) (double) matches/numSampleSize*100);
// The line below is from the canonical solution.
return (int) ((1.0 * matches / numSampleSize) * 100);
}
}
