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refactor: Enhance docs, code, add tests in MinimaxAlgorithm (#6641)
* refactor: Enhance docs, code, add tests in `MinimaxAlgorithm`
* Fix
* Fix
* refactor: Enhance docs, code, add tests in `HappyNumbersSeq`
* Revert "refactor: Enhance docs, code, add tests in `HappyNumbersSeq`"
This reverts commit 9e8afb4f2c.
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@@ -4,54 +4,99 @@ import java.util.Arrays;
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import java.util.Random;
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/**
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* MiniMax is an algorithm used int artificial intelligence and game theory for
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* minimizing the possible loss for the worst case scenario.
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* MiniMax is an algorithm used in artificial intelligence and game theory for
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* minimizing the possible loss for the worst case scenario. It is commonly used
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* in two-player turn-based games such as Tic-Tac-Toe, Chess, and Checkers.
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*
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* See more (https://en.wikipedia.org/wiki/Minimax,
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* https://www.geeksforgeeks.org/minimax-algorithm-in-game-theory-set-1-introduction/).
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* <p>
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* The algorithm simulates all possible moves in a game tree and chooses the
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* move that minimizes the maximum possible loss. The algorithm assumes both
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* players play optimally.
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*
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* <p>
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* Time Complexity: O(b^d) where b is the branching factor and d is the depth
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* <p>
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* Space Complexity: O(d) for the recursive call stack
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*
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* <p>
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* See more:
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* <ul>
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* <li><a href="https://en.wikipedia.org/wiki/Minimax">Wikipedia - Minimax</a>
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* <li><a href=
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* "https://www.geeksforgeeks.org/minimax-algorithm-in-game-theory-set-1-introduction/">
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* GeeksforGeeks - Minimax Algorithm</a>
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* </ul>
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*
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* @author aitofi (https://github.com/aitorfi)
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*/
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public class MiniMaxAlgorithm {
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public final class MiniMaxAlgorithm {
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private static final Random RANDOM = new Random();
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/**
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* Game tree represented as an int array containing scores. Each array
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* element is a leaf node.
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* element is a leaf node. The array length must be a power of 2.
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*/
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private int[] scores;
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/**
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* The height of the game tree, calculated as log2(scores.length).
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*/
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private int height;
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/**
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* Initializes the scores with 8 random leaf nodes
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* Initializes the MiniMaxAlgorithm with 8 random leaf nodes (2^3 = 8).
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* Each score is a random integer between 1 and 99 inclusive.
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*/
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public MiniMaxAlgorithm() {
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scores = getRandomScores(3, 99);
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height = log2(scores.length);
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this(getRandomScores(3, 99));
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}
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/**
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* Initializes the MiniMaxAlgorithm with the provided scores.
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*
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* @param scores An array of scores representing leaf nodes. The length must be
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* a power of 2.
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* @throws IllegalArgumentException if the scores array length is not a power of
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* 2
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*/
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public MiniMaxAlgorithm(int[] scores) {
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if (!isPowerOfTwo(scores.length)) {
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throw new IllegalArgumentException("The number of scores must be a power of 2.");
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}
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this.scores = Arrays.copyOf(scores, scores.length);
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this.height = log2(scores.length);
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}
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/**
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* Demonstrates the MiniMax algorithm with a random game tree.
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*
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* @param args Command line arguments (not used)
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*/
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public static void main(String[] args) {
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MiniMaxAlgorithm miniMaxAlgorith = new MiniMaxAlgorithm();
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MiniMaxAlgorithm miniMaxAlgorithm = new MiniMaxAlgorithm();
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boolean isMaximizer = true; // Specifies the player that goes first.
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boolean verbose = true; // True to show each players choices.
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int bestScore;
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bestScore = miniMaxAlgorith.miniMax(0, isMaximizer, 0, verbose);
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bestScore = miniMaxAlgorithm.miniMax(0, isMaximizer, 0, true);
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if (verbose) {
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System.out.println();
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}
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System.out.println(Arrays.toString(miniMaxAlgorith.getScores()));
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System.out.println();
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System.out.println(Arrays.toString(miniMaxAlgorithm.getScores()));
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System.out.println("The best score for " + (isMaximizer ? "Maximizer" : "Minimizer") + " is " + bestScore);
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}
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/**
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* Returns the optimal score assuming that both players play their best.
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*
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* @param depth Indicates how deep we are into the game tree.
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* @param isMaximizer True if it is maximizers turn; otherwise false.
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* @param index Index of the leaf node that is being evaluated.
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* @param verbose True to show each players choices.
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* <p>
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* This method recursively evaluates the game tree using the minimax algorithm.
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* At each level, the maximizer tries to maximize the score while the minimizer
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* tries to minimize it.
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*
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* @param depth The current depth in the game tree (0 at root).
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* @param isMaximizer True if it is the maximizer's turn; false for minimizer.
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* @param index Index of the current node in the game tree.
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* @param verbose True to print each player's choice during evaluation.
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* @return The optimal score for the player that made the first move.
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*/
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public int miniMax(int depth, boolean isMaximizer, int index, boolean verbose) {
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@@ -75,7 +120,7 @@ public class MiniMaxAlgorithm {
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}
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// Leaf nodes can be sequentially inspected by
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// recurssively multiplying (0 * 2) and ((0 * 2) + 1):
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// recursively multiplying (0 * 2) and ((0 * 2) + 1):
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// (0 x 2) = 0; ((0 x 2) + 1) = 1
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// (1 x 2) = 2; ((1 x 2) + 1) = 3
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// (2 x 2) = 4; ((2 x 2) + 1) = 5 ...
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@@ -87,46 +132,73 @@ public class MiniMaxAlgorithm {
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}
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/**
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* Returns an array of random numbers which lenght is a power of 2.
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* Returns an array of random numbers whose length is a power of 2.
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*
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* @param size The power of 2 that will determine the lenght of the array.
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* @param maxScore The maximum possible score.
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* @return An array of random numbers.
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* @param size The power of 2 that will determine the length of the array
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* (array length = 2^size).
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* @param maxScore The maximum possible score (scores will be between 1 and
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* maxScore inclusive).
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* @return An array of random numbers with length 2^size.
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*/
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public static int[] getRandomScores(int size, int maxScore) {
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int[] randomScores = new int[(int) Math.pow(2, size)];
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Random rand = new Random();
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for (int i = 0; i < randomScores.length; i++) {
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randomScores[i] = rand.nextInt(maxScore) + 1;
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randomScores[i] = RANDOM.nextInt(maxScore) + 1;
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}
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return randomScores;
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}
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// A utility function to find Log n in base 2
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/**
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* Calculates the logarithm base 2 of a number.
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*
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* @param n The number to calculate log2 for (must be a power of 2).
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* @return The log2 of n.
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*/
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private int log2(int n) {
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return (n == 1) ? 0 : log2(n / 2) + 1;
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}
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// A utility function to check if a number is a power of 2
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/**
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* Checks if a number is a power of 2.
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*
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* @param n The number to check.
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* @return True if n is a power of 2, false otherwise.
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*/
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private boolean isPowerOfTwo(int n) {
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return n > 0 && (n & (n - 1)) == 0;
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}
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/**
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* Sets the scores array for the game tree.
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*
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* @param scores The array of scores. Length must be a power of 2.
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* @throws IllegalArgumentException if the scores array length is not a power of
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* 2
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*/
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public void setScores(int[] scores) {
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if (!isPowerOfTwo(scores.length)) {
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System.out.println("The number of scores must be a power of 2.");
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return;
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throw new IllegalArgumentException("The number of scores must be a power of 2.");
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}
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this.scores = scores;
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this.scores = Arrays.copyOf(scores, scores.length);
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height = log2(this.scores.length);
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}
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/**
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* Returns a copy of the scores array.
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*
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* @return A copy of the scores array.
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*/
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public int[] getScores() {
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return scores;
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return Arrays.copyOf(scores, scores.length);
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}
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/**
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* Returns the height of the game tree.
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*
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* @return The height of the game tree (log2 of the number of leaf nodes).
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*/
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public int getHeight() {
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return height;
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}
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