Merge branch 'master' into master

This commit is contained in:
Ahmed Tawila
2017-06-30 05:12:02 +03:00
committed by GitHub
391 changed files with 15815 additions and 1768 deletions
@@ -1,4 +1,4 @@
package com.baeldung.automata;
package com.baeldung.algorithms.automata;
/**
* Finite state machine.
@@ -1,4 +1,4 @@
package com.baeldung.automata;
package com.baeldung.algorithms.automata;
/**
* Default implementation of a finite state machine.
@@ -1,4 +1,4 @@
package com.baeldung.automata;
package com.baeldung.algorithms.automata;
import java.util.ArrayList;
import java.util.List;
@@ -1,4 +1,4 @@
package com.baeldung.automata;
package com.baeldung.algorithms.automata;
/**
@@ -1,4 +1,4 @@
package com.baeldung.automata;
package com.baeldung.algorithms.automata;
/**
* State. Part of a finite state machine.
@@ -1,4 +1,4 @@
package com.baeldung.automata;
package com.baeldung.algorithms.automata;
/**
* Transition in a finite State machine.
@@ -5,7 +5,6 @@ import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.Stack;
import java.util.stream.Collectors;
public class HillClimbing {
public static void main(String[] args) {
@@ -22,7 +21,7 @@ public class HillClimbing {
}
}
public static void printEachStep(State state) {
private static void printEachStep(State state) {
List<Stack<String>> stackList = state.getState();
System.out.println("----------------");
stackList.forEach(stack -> {
@@ -33,8 +32,8 @@ public class HillClimbing {
});
}
public Stack<String> getStackWithValues(String[] blocks) {
Stack<String> stack = new Stack<String>();
private Stack<String> getStackWithValues(String[] blocks) {
Stack<String> stack = new Stack<>();
for (String block : blocks)
stack.push(block);
return stack;
@@ -42,14 +41,9 @@ public class HillClimbing {
/**
* This method prepares path from init state to goal state
*
* @param initStateStack
* @param goalStateStack
* @return
* @throws Exception
*/
public List<State> getRouteWithHillClimbing(Stack<String> initStateStack, Stack<String> goalStateStack) throws Exception {
List<Stack<String>> initStateStackList = new ArrayList<Stack<String>>();
List<Stack<String>> initStateStackList = new ArrayList<>();
initStateStackList.add(initStateStack);
int initStateHeuristics = getHeuristicsValue(initStateStackList, goalStateStack);
State initState = new State(initStateStackList, initStateHeuristics);
@@ -71,57 +65,51 @@ public class HillClimbing {
}
}
if (noStateFound)
throw new Exception("No path found");
return resultPath;
}
/**
* This method finds new state from current state based on goal and
* heuristics
*
* @param currentState
* @param goalStateStack
* @return a next state
*/
public State findNextState(State currentState, Stack<String> goalStateStack) {
List<Stack<String>> listOfStacks = currentState.getState();
int currentStateHeuristics = currentState.getHeuristics();
Optional<State> newState = listOfStacks.stream()
return listOfStacks.stream()
.map(stack -> {
State tempState = null;
List<Stack<String>> tempStackList = new ArrayList<Stack<String>>(listOfStacks);
String block = stack.pop();
if (stack.size() == 0)
tempStackList.remove(stack);
tempState = pushElementToNewStack(tempStackList, block, currentStateHeuristics, goalStateStack);
if (tempState == null) {
tempState = pushElementToExistingStacks(stack, tempStackList, block, currentStateHeuristics, goalStateStack);
}
if (tempState == null)
stack.push(block);
return tempState;
return applyOperationsOnState(listOfStacks, stack, currentStateHeuristics, goalStateStack);
})
.filter(Objects::nonNull)
.findFirst();
return newState.orElse(null);
.findFirst()
.orElse(null);
}
/**
* This method applies operations on the current state to get a new state
*/
public State applyOperationsOnState(List<Stack<String>> listOfStacks, Stack<String> stack, int currentStateHeuristics, Stack<String> goalStateStack) {
State tempState;
List<Stack<String>> tempStackList = new ArrayList<>(listOfStacks);
String block = stack.pop();
if (stack.size() == 0)
tempStackList.remove(stack);
tempState = pushElementToNewStack(tempStackList, block, currentStateHeuristics, goalStateStack);
if (tempState == null) {
tempState = pushElementToExistingStacks(stack, tempStackList, block, currentStateHeuristics, goalStateStack);
}
if (tempState == null)
stack.push(block);
return tempState;
}
/**
* Operation to be applied on a state in order to find new states. This
* operation pushes an element into a new stack
*
* @param currentStackList
* @param block
* @param currentStateHeuristics
* @param goalStateStack
* @return a new state
*/
private State pushElementToNewStack(List<Stack<String>> currentStackList, String block, int currentStateHeuristics, Stack<String> goalStateStack) {
State newState = null;
Stack<String> newStack = new Stack<String>();
Stack<String> newStack = new Stack<>();
newStack.push(block);
currentStackList.add(newStack);
@@ -138,62 +126,64 @@ public class HillClimbing {
* Operation to be applied on a state in order to find new states. This
* operation pushes an element into one of the other stacks to explore new
* states
*
* @param stack
* @param currentStackList
* @param block
* @param currentStateHeuristics
* @param goalStateStack
* @return a new state
*/
private State pushElementToExistingStacks(Stack currentStack, List<Stack<String>> currentStackList, String block, int currentStateHeuristics, Stack<String> goalStateStack) {
Optional<State> newState = currentStackList.stream()
.filter(stack -> stack != currentStack)
.map(stack -> {
stack.push(block);
int newStateHeuristics = getHeuristicsValue(currentStackList, goalStateStack);
if (newStateHeuristics > currentStateHeuristics) {
return new State(currentStackList, newStateHeuristics);
}
stack.pop();
return null;
return pushElementToStack(stack, block, currentStackList, currentStateHeuristics, goalStateStack);
})
.filter(Objects::nonNull)
.findFirst();
return newState.orElse(null);
}
/**
* This method pushes a block to the stack and returns new state if its closer to goal
*/
private State pushElementToStack(Stack stack, String block, List<Stack<String>> currentStackList, int currentStateHeuristics, Stack<String> goalStateStack) {
stack.push(block);
int newStateHeuristics = getHeuristicsValue(currentStackList, goalStateStack);
if (newStateHeuristics > currentStateHeuristics) {
return new State(currentStackList, newStateHeuristics);
}
stack.pop();
return null;
}
/**
* This method returns heuristics value for given state with respect to goal
* state
*
* @param currentState
* @param goalStateStack
* @return
*/
public int getHeuristicsValue(List<Stack<String>> currentState, Stack<String> goalStateStack) {
Integer heuristicValue = 0;
Integer heuristicValue;
heuristicValue = currentState.stream()
.mapToInt(stack -> {
int stackHeuristics = 0;
boolean isPositioneCorrect = true;
int goalStartIndex = 0;
for (String currentBlock : stack) {
if (isPositioneCorrect && currentBlock.equals(goalStateStack.get(goalStartIndex))) {
stackHeuristics += goalStartIndex;
} else {
stackHeuristics -= goalStartIndex;
isPositioneCorrect = false;
}
goalStartIndex++;
}
return stackHeuristics;
return getHeuristicsValueForStack(stack, currentState, goalStateStack);
})
.sum();
return heuristicValue;
}
/**
* This method returns heuristics value for a particular stack
*/
public int getHeuristicsValueForStack(Stack<String> stack, List<Stack<String>> currentState, Stack<String> goalStateStack) {
int stackHeuristics = 0;
boolean isPositioneCorrect = true;
int goalStartIndex = 0;
for (String currentBlock : stack) {
if (isPositioneCorrect && currentBlock.equals(goalStateStack.get(goalStartIndex))) {
stackHeuristics += goalStartIndex;
} else {
stackHeuristics -= goalStartIndex;
isPositioneCorrect = false;
}
goalStartIndex++;
}
return stackHeuristics;
}
}
@@ -5,26 +5,23 @@ import java.util.List;
import java.util.Stack;
public class State {
List<Stack<String>> state;
int heuristics;
public State() {
}
private List<Stack<String>> state;
private int heuristics;
public State(List<Stack<String>> state) {
this.state = state;
}
public State(List<Stack<String>> state, int heuristics) {
State(List<Stack<String>> state, int heuristics) {
this.state = state;
this.heuristics = heuristics;
}
public State(State state) {
State(State state) {
if (state != null) {
this.state = new ArrayList<Stack<String>>();
this.state = new ArrayList<>();
for (Stack s : state.getState()) {
Stack s1 = new Stack();
Stack s1;
s1 = (Stack) s.clone();
this.state.add(s1);
}
@@ -36,10 +33,6 @@ public class State {
return state;
}
public void setState(List<Stack<String>> state) {
this.state = state;
}
public int getHeuristics() {
return heuristics;
}
@@ -0,0 +1,109 @@
package com.baeldung.algorithms.mcts.montecarlo;
import java.util.List;
import com.baeldung.algorithms.mcts.tictactoe.Board;
import com.baeldung.algorithms.mcts.tree.Node;
import com.baeldung.algorithms.mcts.tree.Tree;
public class MonteCarloTreeSearch {
private static final int WIN_SCORE = 10;
private int level;
private int oponent;
public MonteCarloTreeSearch() {
this.level = 3;
}
public int getLevel() {
return level;
}
public void setLevel(int level) {
this.level = level;
}
private int getMillisForCurrentLevel() {
return 2 * (this.level - 1) + 1;
}
public Board findNextMove(Board board, int playerNo) {
long start = System.currentTimeMillis();
long end = start + 60 * getMillisForCurrentLevel();
oponent = 3 - playerNo;
Tree tree = new Tree();
Node rootNode = tree.getRoot();
rootNode.getState().setBoard(board);
rootNode.getState().setPlayerNo(oponent);
while (System.currentTimeMillis() < end) {
// Phase 1 - Selection
Node promisingNode = selectPromisingNode(rootNode);
// Phase 2 - Expansion
if (promisingNode.getState().getBoard().checkStatus() == Board.IN_PROGRESS)
expandNode(promisingNode);
// Phase 3 - Simulation
Node nodeToExplore = promisingNode;
if (promisingNode.getChildArray().size() > 0) {
nodeToExplore = promisingNode.getRandomChildNode();
}
int playoutResult = simulateRandomPlayout(nodeToExplore);
// Phase 4 - Update
backPropogation(nodeToExplore, playoutResult);
}
Node winnerNode = rootNode.getChildWithMaxScore();
tree.setRoot(winnerNode);
return winnerNode.getState().getBoard();
}
private Node selectPromisingNode(Node rootNode) {
Node node = rootNode;
while (node.getChildArray().size() != 0) {
node = UCT.findBestNodeWithUCT(node);
}
return node;
}
private void expandNode(Node node) {
List<State> possibleStates = node.getState().getAllPossibleStates();
possibleStates.forEach(state -> {
Node newNode = new Node(state);
newNode.setParent(node);
newNode.getState().setPlayerNo(node.getState().getOpponent());
node.getChildArray().add(newNode);
});
}
private void backPropogation(Node nodeToExplore, int playerNo) {
Node tempNode = nodeToExplore;
while (tempNode != null) {
tempNode.getState().incrementVisit();
if (tempNode.getState().getPlayerNo() == playerNo)
tempNode.getState().addScore(WIN_SCORE);
tempNode = tempNode.getParent();
}
}
private int simulateRandomPlayout(Node node) {
Node tempNode = new Node(node);
State tempState = tempNode.getState();
int boardStatus = tempState.getBoard().checkStatus();
if (boardStatus == oponent) {
tempNode.getParent().getState().setWinScore(Integer.MIN_VALUE);
return boardStatus;
}
while (boardStatus == Board.IN_PROGRESS) {
tempState.togglePlayer();
tempState.randomPlay();
boardStatus = tempState.getBoard().checkStatus();
}
return boardStatus;
}
}
@@ -0,0 +1,97 @@
package com.baeldung.algorithms.mcts.montecarlo;
import java.util.ArrayList;
import java.util.List;
import com.baeldung.algorithms.mcts.tictactoe.Board;
import com.baeldung.algorithms.mcts.tictactoe.Position;
public class State {
private Board board;
private int playerNo;
private int visitCount;
private double winScore;
public State() {
board = new Board();
}
public State(State state) {
this.board = new Board(state.getBoard());
this.playerNo = state.getPlayerNo();
this.visitCount = state.getVisitCount();
this.winScore = state.getWinScore();
}
public State(Board board) {
this.board = new Board(board);
}
Board getBoard() {
return board;
}
void setBoard(Board board) {
this.board = board;
}
int getPlayerNo() {
return playerNo;
}
void setPlayerNo(int playerNo) {
this.playerNo = playerNo;
}
int getOpponent() {
return 3 - playerNo;
}
public int getVisitCount() {
return visitCount;
}
public void setVisitCount(int visitCount) {
this.visitCount = visitCount;
}
double getWinScore() {
return winScore;
}
void setWinScore(double winScore) {
this.winScore = winScore;
}
public List<State> getAllPossibleStates() {
List<State> possibleStates = new ArrayList<>();
List<Position> availablePositions = this.board.getEmptyPositions();
availablePositions.forEach(p -> {
State newState = new State(this.board);
newState.setPlayerNo(3 - this.playerNo);
newState.getBoard().performMove(newState.getPlayerNo(), p);
possibleStates.add(newState);
});
return possibleStates;
}
void incrementVisit() {
this.visitCount++;
}
void addScore(double score) {
if (this.winScore != Integer.MIN_VALUE)
this.winScore += score;
}
void randomPlay() {
List<Position> availablePositions = this.board.getEmptyPositions();
int totalPossibilities = availablePositions.size();
int selectRandom = (int) (Math.random() * ((totalPossibilities - 1) + 1));
this.board.performMove(this.playerNo, availablePositions.get(selectRandom));
}
void togglePlayer() {
this.playerNo = 3 - this.playerNo;
}
}
@@ -0,0 +1,24 @@
package com.baeldung.algorithms.mcts.montecarlo;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import com.baeldung.algorithms.mcts.tree.Node;
public class UCT {
public static double uctValue(int totalVisit, double nodeWinScore, int nodeVisit) {
if (nodeVisit == 0) {
return Integer.MAX_VALUE;
}
return (nodeWinScore / (double) nodeVisit) + 1.41 * Math.sqrt(Math.log(totalVisit) / (double) nodeVisit);
}
static Node findBestNodeWithUCT(Node node) {
int parentVisit = node.getState().getVisitCount();
return Collections.max(
node.getChildArray(),
Comparator.comparing(c -> uctValue(parentVisit, c.getState().getWinScore(), c.getState().getVisitCount())));
}
}
@@ -0,0 +1,155 @@
package com.baeldung.algorithms.mcts.tictactoe;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
public class Board {
int[][] boardValues;
int totalMoves;
public static final int DEFAULT_BOARD_SIZE = 3;
public static final int IN_PROGRESS = -1;
public static final int DRAW = 0;
public static final int P1 = 1;
public static final int P2 = 2;
public Board() {
boardValues = new int[DEFAULT_BOARD_SIZE][DEFAULT_BOARD_SIZE];
}
public Board(int boardSize) {
boardValues = new int[boardSize][boardSize];
}
public Board(int[][] boardValues) {
this.boardValues = boardValues;
}
public Board(int[][] boardValues, int totalMoves) {
this.boardValues = boardValues;
this.totalMoves = totalMoves;
}
public Board(Board board) {
int boardLength = board.getBoardValues().length;
this.boardValues = new int[boardLength][boardLength];
int[][] boardValues = board.getBoardValues();
int n = boardValues.length;
for (int i = 0; i < n; i++) {
int m = boardValues[i].length;
for (int j = 0; j < m; j++) {
this.boardValues[i][j] = boardValues[i][j];
}
}
}
public void performMove(int player, Position p) {
this.totalMoves++;
boardValues[p.getX()][p.getY()] = player;
}
public int[][] getBoardValues() {
return boardValues;
}
public void setBoardValues(int[][] boardValues) {
this.boardValues = boardValues;
}
public int checkStatus() {
int boardSize = boardValues.length;
int maxIndex = boardSize - 1;
int[] diag1 = new int[boardSize];
int[] diag2 = new int[boardSize];
for (int i = 0; i < boardSize; i++) {
int[] row = boardValues[i];
int[] col = new int[boardSize];
for (int j = 0; j < boardSize; j++) {
col[j] = boardValues[j][i];
}
int checkRowForWin = checkForWin(row);
if(checkRowForWin!=0)
return checkRowForWin;
int checkColForWin = checkForWin(col);
if(checkColForWin!=0)
return checkColForWin;
diag1[i] = boardValues[i][i];
diag2[i] = boardValues[maxIndex - i][i];
}
int checkDia1gForWin = checkForWin(diag1);
if(checkDia1gForWin!=0)
return checkDia1gForWin;
int checkDiag2ForWin = checkForWin(diag2);
if(checkDiag2ForWin!=0)
return checkDiag2ForWin;
if (getEmptyPositions().size() > 0)
return IN_PROGRESS;
else
return DRAW;
}
private int checkForWin(int[] row) {
boolean isEqual = true;
int size = row.length;
int previous = row[0];
for (int i = 0; i < size; i++) {
if (previous != row[i]) {
isEqual = false;
break;
}
previous = row[i];
}
if(isEqual)
return previous;
else
return 0;
}
public void printBoard() {
int size = this.boardValues.length;
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
System.out.print(boardValues[i][j] + " ");
}
System.out.println();
}
}
public List<Position> getEmptyPositions() {
int size = this.boardValues.length;
List<Position> emptyPositions = new ArrayList<>();
for (int i = 0; i < size; i++) {
for (int j = 0; j < size; j++) {
if (boardValues[i][j] == 0)
emptyPositions.add(new Position(i, j));
}
}
return emptyPositions;
}
public void printStatus() {
switch (this.checkStatus()) {
case P1:
System.out.println("Player 1 wins");
break;
case P2:
System.out.println("Player 2 wins");
break;
case DRAW:
System.out.println("Game Draw");
break;
case IN_PROGRESS:
System.out.println("Game In rogress");
break;
}
}
}
@@ -0,0 +1,31 @@
package com.baeldung.algorithms.mcts.tictactoe;
public class Position {
int x;
int y;
public Position() {
}
public Position(int x, int y) {
this.x = x;
this.y = y;
}
public int getX() {
return x;
}
public void setX(int x) {
this.x = x;
}
public int getY() {
return y;
}
public void setY(int y) {
this.y = y;
}
}
@@ -0,0 +1,78 @@
package com.baeldung.algorithms.mcts.tree;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
import java.util.List;
import com.baeldung.algorithms.mcts.montecarlo.State;
public class Node {
State state;
Node parent;
List<Node> childArray;
public Node() {
this.state = new State();
childArray = new ArrayList<>();
}
public Node(State state) {
this.state = state;
childArray = new ArrayList<>();
}
public Node(State state, Node parent, List<Node> childArray) {
this.state = state;
this.parent = parent;
this.childArray = childArray;
}
public Node(Node node) {
this.childArray = new ArrayList<>();
this.state = new State(node.getState());
if (node.getParent() != null)
this.parent = node.getParent();
List<Node> childArray = node.getChildArray();
for (Node child : childArray) {
this.childArray.add(new Node(child));
}
}
public State getState() {
return state;
}
public void setState(State state) {
this.state = state;
}
public Node getParent() {
return parent;
}
public void setParent(Node parent) {
this.parent = parent;
}
public List<Node> getChildArray() {
return childArray;
}
public void setChildArray(List<Node> childArray) {
this.childArray = childArray;
}
public Node getRandomChildNode() {
int noOfPossibleMoves = this.childArray.size();
int selectRandom = (int) (Math.random() * ((noOfPossibleMoves - 1) + 1));
return this.childArray.get(selectRandom);
}
public Node getChildWithMaxScore() {
return Collections.max(this.childArray, Comparator.comparing(c -> {
return c.getState().getVisitCount();
}));
}
}
@@ -0,0 +1,26 @@
package com.baeldung.algorithms.mcts.tree;
public class Tree {
Node root;
public Tree() {
root = new Node();
}
public Tree(Node root) {
this.root = root;
}
public Node getRoot() {
return root;
}
public void setRoot(Node root) {
this.root = root;
}
public void addChild(Node parent, Node child) {
parent.getChildArray().add(child);
}
}
@@ -14,17 +14,17 @@ import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
public class HillClimbingAlgorithmTest {
Stack<String> initStack;
Stack<String> goalStack;
private Stack<String> initStack;
private Stack<String> goalStack;
@Before
public void initStacks() {
String blockArr[] = { "B", "C", "D", "A" };
String goalBlockArr[] = { "A", "B", "C", "D" };
initStack = new Stack<String>();
initStack = new Stack<>();
for (String block : blockArr)
initStack.push(block);
goalStack = new Stack<String>();
goalStack = new Stack<>();
for (String block : goalBlockArr)
goalStack.push(block);
}
@@ -48,7 +48,7 @@ public class HillClimbingAlgorithmTest {
@Test
public void givenCurrentState_whenFindNextState_thenBetterHeuristics() {
HillClimbing hillClimbing = new HillClimbing();
List<Stack<String>> initList = new ArrayList<Stack<String>>();
List<Stack<String>> initList = new ArrayList<>();
initList.add(initStack);
State currentState = new State(initList);
currentState.setHeuristics(hillClimbing.getHeuristicsValue(initList, goalStack));
@@ -1,6 +1,6 @@
package algorithms;
import com.baeldung.automata.*;
import com.baeldung.algorithms.automata.*;
import org.junit.Test;
import static org.junit.Assert.assertTrue;
@@ -0,0 +1,92 @@
package algorithms.mcts;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import java.util.List;
import org.junit.Before;
import org.junit.Test;
import com.baeldung.algorithms.mcts.montecarlo.MonteCarloTreeSearch;
import com.baeldung.algorithms.mcts.montecarlo.State;
import com.baeldung.algorithms.mcts.montecarlo.UCT;
import com.baeldung.algorithms.mcts.tictactoe.Board;
import com.baeldung.algorithms.mcts.tictactoe.Position;
import com.baeldung.algorithms.mcts.tree.Tree;
public class MCTSTest {
private Tree gameTree;
private MonteCarloTreeSearch mcts;
@Before
public void initGameTree() {
gameTree = new Tree();
mcts = new MonteCarloTreeSearch();
}
@Test
public void givenStats_whenGetUCTForNode_thenUCTMatchesWithManualData() {
double uctValue = 15.79;
assertEquals(UCT.uctValue(600, 300, 20), uctValue, 0.01);
}
@Test
public void giveninitBoardState_whenGetAllPossibleStates_thenNonEmptyList() {
State initState = gameTree.getRoot().getState();
List<State> possibleStates = initState.getAllPossibleStates();
assertTrue(possibleStates.size() > 0);
}
@Test
public void givenEmptyBoard_whenPerformMove_thenLessAvailablePossitions() {
Board board = new Board();
int initAvailablePositions = board.getEmptyPositions().size();
board.performMove(Board.P1, new Position(1, 1));
int availablePositions = board.getEmptyPositions().size();
assertTrue(initAvailablePositions > availablePositions);
}
@Test
public void givenEmptyBoard_whenSimulateInterAIPlay_thenGameDraw() {
Board board = new Board();
int player = Board.P1;
int totalMoves = Board.DEFAULT_BOARD_SIZE * Board.DEFAULT_BOARD_SIZE;
for (int i = 0; i < totalMoves; i++) {
board = mcts.findNextMove(board, player);
if (board.checkStatus() != -1) {
break;
}
player = 3 - player;
}
int winStatus = board.checkStatus();
assertEquals(winStatus, Board.DRAW);
}
@Test
public void givenEmptyBoard_whenLevel1VsLevel3_thenLevel3WinsOrDraw() {
Board board = new Board();
MonteCarloTreeSearch mcts1 = new MonteCarloTreeSearch();
mcts1.setLevel(1);
MonteCarloTreeSearch mcts3 = new MonteCarloTreeSearch();
mcts3.setLevel(3);
int player = Board.P1;
int totalMoves = Board.DEFAULT_BOARD_SIZE * Board.DEFAULT_BOARD_SIZE;
for (int i = 0; i < totalMoves; i++) {
if (player == Board.P1)
board = mcts3.findNextMove(board, player);
else
board = mcts1.findNextMove(board, player);
if (board.checkStatus() != -1) {
break;
}
player = 3 - player;
}
int winStatus = board.checkStatus();
assertTrue(winStatus == Board.DRAW || winStatus == Board.P1);
}
}
+3
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@@ -0,0 +1,3 @@
### Relevant articles
- [Introduction to Asciidoctor](http://www.baeldung.com/introduction-to-asciidoctor)
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+56
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@@ -0,0 +1,56 @@
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<parent>
<artifactId>parent-modules</artifactId>
<groupId>com.baeldung</groupId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<modelVersion>4.0.0</modelVersion>
<artifactId>asciidoctor</artifactId>
<name>asciidoctor</name>
<build>
<plugins>
<plugin>
<groupId>org.asciidoctor</groupId>
<artifactId>asciidoctor-maven-plugin</artifactId>
<version>1.5.5</version>
<dependencies>
<dependency>
<groupId>org.asciidoctor</groupId>
<artifactId>asciidoctorj-pdf</artifactId>
<version>1.5.0-alpha.15</version>
</dependency>
</dependencies>
<executions>
<execution>
<id>output-pdf</id>
<phase>generate-resources</phase>
<goals>
<goal>process-asciidoc</goal>
</goals>
</execution>
</executions>
<configuration>
<sourceDirectory>src/docs/asciidoc</sourceDirectory>
<outputDirectory>target/docs/asciidoc</outputDirectory>
<backend>pdf</backend>
</configuration>
</plugin>
</plugins>
</build>
<dependencies>
<dependency>
<groupId>org.asciidoctor</groupId>
<artifactId>asciidoctorj</artifactId>
<version>1.5.4</version>
</dependency>
<dependency>
<groupId>org.asciidoctor</groupId>
<artifactId>asciidoctorj-pdf</artifactId>
<version>1.5.0-alpha.11</version>
</dependency>
</dependencies>
</project>
+3
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@@ -0,0 +1,3 @@
== Introduction Section
Hi. I'm a simple test to see if this Maven build is working. If you see me in a nice PDF, then it means everything is [red]#working#.
@@ -0,0 +1,33 @@
package com.baeldung.asciidoctor;
import static org.asciidoctor.Asciidoctor.Factory.create;
import static org.asciidoctor.OptionsBuilder.options;
import java.io.File;
import java.util.HashMap;
import java.util.Map;
import org.asciidoctor.Asciidoctor;
public class AsciidoctorDemo {
private final Asciidoctor asciidoctor;
AsciidoctorDemo() {
asciidoctor = create();
}
public void generatePDFFromString(final String input) {
final Map<String, Object> options = options().inPlace(true)
.backend("pdf")
.asMap();
final String outfile = asciidoctor.convertFile(new File("sample.adoc"), options);
}
String generateHTMLFromString(final String input) {
return asciidoctor.convert("Hello _Baeldung_!", new HashMap<String, Object>());
}
}
@@ -0,0 +1,13 @@
package com.baeldung.asciidoctor;
import org.junit.Assert;
import org.junit.Test;
public class AsciidoctorDemoTest {
@Test
public void givenString_whenConverting_thenResultingHTMLCode() {
final AsciidoctorDemo asciidoctorDemo = new AsciidoctorDemo();
Assert.assertEquals(asciidoctorDemo.generateHTMLFromString("Hello _Baeldung_!"), "<div class=\"paragraph\">\n<p>Hello <em>Baeldung</em>!</p>\n</div>");
}
}
@@ -0,0 +1,43 @@
package com.baeldung.java9.time;
import java.time.LocalDate;
import java.time.temporal.ChronoUnit;
import java.util.ArrayList;
import java.util.Calendar;
import java.util.Date;
import java.util.GregorianCalendar;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
public class TimeApi {
public static List<Date> getDatesBetweenUsingJava7(Date startDate, Date endDate) {
List<Date> datesInRange = new ArrayList<Date>();
Calendar calendar = new GregorianCalendar();
calendar.setTime(startDate);
Calendar endCalendar = new GregorianCalendar();
endCalendar.setTime(endDate);
while (calendar.before(endCalendar)) {
Date result = calendar.getTime();
datesInRange.add(result);
calendar.add(Calendar.DATE, 1);
}
return datesInRange;
}
public static List<LocalDate> getDatesBetweenUsingJava8(LocalDate startDate, LocalDate endDate) {
long numOfDaysBetween = ChronoUnit.DAYS.between(startDate, endDate);
return IntStream.iterate(0, i -> i + 1)
.limit(numOfDaysBetween)
.mapToObj(i -> startDate.plusDays(i))
.collect(Collectors.toList());
}
public static List<LocalDate> getDatesBetweenUsingJava9(LocalDate startDate, LocalDate endDate) {
return startDate.datesUntil(endDate).collect(Collectors.toList());
}
}
@@ -0,0 +1,58 @@
package com.baeldung.java9.time;
import java.time.LocalDate;
import java.util.Calendar;
import java.util.Date;
import java.util.List;
import static org.junit.Assert.assertEquals;
import org.junit.Test;
public class TimeApiTest {
@Test
public void givenGetDatesBetweenWithUsingJava7_WhenStartEndDate_thenDatesList() {
Date startDate = Calendar.getInstance().getTime();
Calendar endCalendar = Calendar.getInstance();
endCalendar.add(Calendar.DATE, 2);
Date endDate = endCalendar.getTime();
List<Date> dates = TimeApi.getDatesBetweenUsingJava7(startDate, endDate);
assertEquals(dates.size(), 2);
Calendar calendar = Calendar.getInstance();
Date date1 = calendar.getTime();
assertEquals(dates.get(0).getDay(), date1.getDay());
assertEquals(dates.get(0).getMonth(), date1.getMonth());
assertEquals(dates.get(0).getYear(), date1.getYear());
calendar.add(Calendar.DATE, 1);
Date date2 = calendar.getTime();
assertEquals(dates.get(1).getDay(), date2.getDay());
assertEquals(dates.get(1).getMonth(), date2.getMonth());
assertEquals(dates.get(1).getYear(), date2.getYear());
}
@Test
public void givenGetDatesBetweenWithUsingJava8_WhenStartEndDate_thenDatesList() {
LocalDate startDate = LocalDate.now();
LocalDate endDate = LocalDate.now().plusDays(2);
List<LocalDate> dates = TimeApi.getDatesBetweenUsingJava8(startDate, endDate);
assertEquals(dates.size(), 2);
assertEquals(dates.get(0), LocalDate.now());
assertEquals(dates.get(1), LocalDate.now().plusDays(1));
}
@Test
public void givenGetDatesBetweenWithUsingJava9_WhenStartEndDate_thenDatesList() {
LocalDate startDate = LocalDate.now();
LocalDate endDate = LocalDate.now().plusDays(2);
List<LocalDate> dates = TimeApi.getDatesBetweenUsingJava9(startDate, endDate);
assertEquals(dates.size(), 2);
assertEquals(dates.get(0), LocalDate.now());
assertEquals(dates.get(1), LocalDate.now().plusDays(1));
}
}
+2 -1
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@@ -17,9 +17,10 @@
# Files generated by integration tests
*.txt
backup-pom.xml
/bin/
/temp
#IntelliJ specific
.idea
.idea/
*.iml
+18 -1
View File
@@ -113,4 +113,21 @@
- [Difference Between Wait and Sleep in Java](http://www.baeldung.com/java-wait-and-sleep)
- [LongAdder and LongAccumulator in Java](http://www.baeldung.com/java-longadder-and-longaccumulator)
- [Using Java MappedByteBuffer](http://www.baeldung.com/java-mapped-byte-buffer)
- [Dynamic Proxies in Java](http://www.baeldung.com/java-dynamic-proxies)
- [How to Copy an Array in Java](http://www.baeldung.com/java-array-copy)
- [Introduction to JDBC](http://www.baeldung.com/java-jdbc)
- [Guide to CopyOnWriteArrayList](http://www.baeldung.com/java-copy-on-write-arraylist)
- [Period and Duration in Java](http://www.baeldung.com/java-period-duration)
- [Converting a Stack Trace to a String in Java](http://www.baeldung.com/java-stacktrace-to-string)
- [Guide to the Java Phaser](http://www.baeldung.com/java-phaser)
- [Count Occurrences of a Char in a String](http://www.baeldung.com/java-count-chars)
- [Java Double Brace Initialization](http://www.baeldung.com/java-double-brace-initialization)
- [The StackOverflowError in Java](http://www.baeldung.com/java-stack-overflow-error)
- [Split a String in Java](http://www.baeldung.com/java-split-string)
- [Introduction to Java Serialization](http://www.baeldung.com/java-serialization)
- [How to Remove the Last Character of a String?](http://www.baeldung.com/java-remove-last-character-of-string)
- [Guide to Synchronized Keyword in Java](http://www.baeldung.com/java-synchronized)
- [ClassNotFoundException vs NoClassDefFoundError](http://www.baeldung.com/java-classnotfoundexception-and-noclassdeffounderror)
- [Guide to UUID in Java](http://www.baeldung.com/java-uuid)
- [How to Get the Last Element of a Stream in Java?](http://www.baeldung.com/java-stream-last-element)
- [Guide to Escaping Characters in Java RegExps](http://www.baeldung.com/java-regexp-escape-char)
+358 -359
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package com.baeldung.concurrent.cyclicbarrier;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import java.util.Random;
import java.util.concurrent.BrokenBarrierException;
import java.util.concurrent.CyclicBarrier;
/**
* Created by cv on 24/6/17.
*/
public class CyclicBarrierDemo {
private CyclicBarrier cyclicBarrier;
private List<List<Integer>> partialResults = Collections.synchronizedList(new ArrayList<>());
private Random random = new Random();
private int NUM_PARTIAL_RESULTS;
private int NUM_WORKERS;
public void runSimulation(int numWorkers, int numberOfPartialResults) {
NUM_PARTIAL_RESULTS = numberOfPartialResults;
NUM_WORKERS = numWorkers;
cyclicBarrier = new CyclicBarrier(NUM_WORKERS, new AggregatorThread());
System.out.println("Spawning " + NUM_WORKERS + " worker threads to compute "
+ NUM_PARTIAL_RESULTS + " partial results each");
for (int i = 0; i < NUM_WORKERS; i++) {
Thread worker = new Thread(new NumberCruncherThread());
worker.setName("Thread " + i);
worker.start();
}
}
class NumberCruncherThread implements Runnable {
@Override
public void run() {
String thisThreadName = Thread.currentThread().getName();
List<Integer> partialResult = new ArrayList<>();
for (int i = 0; i < NUM_PARTIAL_RESULTS; i++) {
Integer num = random.nextInt(10);
System.out.println(thisThreadName
+ ": Crunching some numbers! Final result - " + num);
partialResult.add(num);
}
partialResults.add(partialResult);
try {
System.out.println(thisThreadName + " waiting for others to reach barrier.");
cyclicBarrier.await();
} catch (InterruptedException e) {
e.printStackTrace();
} catch (BrokenBarrierException e) {
e.printStackTrace();
}
}
}
class AggregatorThread implements Runnable {
@Override
public void run() {
String thisThreadName = Thread.currentThread().getName();
System.out.println(thisThreadName + ": Computing final sum of " + NUM_WORKERS
+ " workers, having " + NUM_PARTIAL_RESULTS + " results each.");
int sum = 0;
for (List<Integer> threadResult : partialResults) {
System.out.print("Adding ");
for (Integer partialResult : threadResult) {
System.out.print(partialResult+" ");
sum += partialResult;
}
System.out.println();
}
System.out.println(Thread.currentThread().getName() + ": Final result = " + sum);
}
}
public static void main(String[] args) {
CyclicBarrierDemo play = new CyclicBarrierDemo();
play.runSimulation(5, 3);
}
}

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