Merge remote-tracking branch 'upstream/master'

This commit is contained in:
tschiman
2017-06-23 16:12:39 -06:00
100 changed files with 1695 additions and 328 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.
@@ -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);
}
}
@@ -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 Drools](http://www.baeldung.com/drools)
[Drools Using Rules from Excel Files](http://www.baeldung.com/drools-excel)
+1 -1
View File
@@ -16,7 +16,7 @@
<properties>
<http-component-version>4.4.6</http-component-version>
<drools-version>7.0.0.CR1</drools-version>
<drools-version>7.1.0.Beta2</drools-version>
<apache-poi-version>3.13</apache-poi-version>
</properties>
@@ -1,10 +1,15 @@
package com.baeldung.drools.config;
import org.drools.decisiontable.DecisionTableProviderImpl;
import org.kie.api.KieServices;
import org.kie.api.builder.*;
import org.kie.api.io.KieResources;
import org.kie.api.io.Resource;
import org.kie.api.runtime.KieContainer;
import org.kie.api.runtime.KieSession;
import org.kie.internal.builder.DecisionTableConfiguration;
import org.kie.internal.builder.DecisionTableInputType;
import org.kie.internal.builder.KnowledgeBuilderFactory;
import org.kie.internal.io.ResourceFactory;
import java.io.IOException;
import java.util.Arrays;
@@ -64,4 +69,39 @@ public class DroolsBeanFactory {
}
}
public KieSession getKieSession(Resource dt) {
KieFileSystem kieFileSystem = kieServices.newKieFileSystem()
.write(dt);
KieBuilder kieBuilder = kieServices.newKieBuilder(kieFileSystem)
.buildAll();
KieRepository kieRepository = kieServices.getRepository();
ReleaseId krDefaultReleaseId = kieRepository.getDefaultReleaseId();
KieContainer kieContainer = kieServices.newKieContainer(krDefaultReleaseId);
KieSession ksession = kieContainer.newKieSession();
return ksession;
}
/*
* Can be used for debugging
* Input excelFile example: com/baeldung/drools/rules/Discount.xls
*/
public String getDrlFromExcel(String excelFile) {
DecisionTableConfiguration configuration = KnowledgeBuilderFactory.newDecisionTableConfiguration();
configuration.setInputType(DecisionTableInputType.XLS);
Resource dt = ResourceFactory.newClassPathResource(excelFile, getClass());
DecisionTableProviderImpl decisionTableProvider = new DecisionTableProviderImpl();
String drl = decisionTableProvider.loadFromResource(dt, null);
return drl;
}
}
@@ -0,0 +1,44 @@
package com.baeldung.drools.model;
public class Customer {
private CustomerType type;
private int years;
private int discount;
public Customer(CustomerType type, int numOfYears) {
super();
this.type = type;
this.years = numOfYears;
}
public CustomerType getType() {
return type;
}
public void setType(CustomerType type) {
this.type = type;
}
public int getYears() {
return years;
}
public void setYears(int years) {
this.years = years;
}
public int getDiscount() {
return discount;
}
public void setDiscount(int discount) {
this.discount = discount;
}
public enum CustomerType {
INDIVIDUAL, BUSINESS;
}
}
@@ -17,37 +17,39 @@ public class ApplicantServiceIntegrationTest {
private ApplicantService applicantService;
@Before
public void setup(){
public void setup() {
applicantService = new ApplicantService();
}
@Test
public void whenCriteriaMatching_ThenSuggestManagerRole() throws IOException {
Applicant applicant=new Applicant("Davis",37,1600000.0,11);
SuggestedRole suggestedRole=new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant,suggestedRole);
assertEquals("Manager",suggestedRole.getRole());
Applicant applicant = new Applicant("Davis", 37, 1600000.0, 11);
SuggestedRole suggestedRole = new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant, suggestedRole);
assertEquals("Manager", suggestedRole.getRole());
}
@Test
public void whenCriteriaMatching_ThenSuggestSeniorDeveloperRole() throws IOException {
Applicant applicant=new Applicant("John",37,1200000.0,8);
SuggestedRole suggestedRole=new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant,suggestedRole);
assertEquals("Senior developer",suggestedRole.getRole());
Applicant applicant = new Applicant("John", 37, 1200000.0, 8);
SuggestedRole suggestedRole = new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant, suggestedRole);
assertEquals("Senior developer", suggestedRole.getRole());
}
@Test
public void whenCriteriaMatching_ThenSuggestDeveloperRole() throws IOException {
Applicant applicant=new Applicant("Davis",37,800000.0,3);
SuggestedRole suggestedRole=new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant,suggestedRole);
assertEquals("Developer",suggestedRole.getRole());
Applicant applicant = new Applicant("Davis", 37, 800000.0, 3);
SuggestedRole suggestedRole = new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant, suggestedRole);
assertEquals("Developer", suggestedRole.getRole());
}
@Test
public void whenCriteriaNotMatching_ThenNoRole() throws IOException {
Applicant applicant=new Applicant("John",37,1200000.0,5);
SuggestedRole suggestedRole=new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant,suggestedRole);
Applicant applicant = new Applicant("John", 37, 1200000.0, 5);
SuggestedRole suggestedRole = new SuggestedRole();
applicantService.suggestARoleForApplicant(applicant, suggestedRole);
assertNull(suggestedRole.getRole());
}
}
@@ -0,0 +1,56 @@
package com.baeldung.drools.service;
import static org.junit.Assert.assertEquals;
import org.junit.Before;
import org.junit.Test;
import org.kie.api.io.Resource;
import org.kie.api.runtime.KieSession;
import org.kie.internal.io.ResourceFactory;
import com.baeldung.drools.config.DroolsBeanFactory;
import com.baeldung.drools.model.Customer;
import com.baeldung.drools.model.Customer.CustomerType;
public class DiscountExcelIntegrationTest {
private KieSession kSession;
@Before
public void setup() {
Resource resource = ResourceFactory.newClassPathResource("com/baeldung/drools/rules/Discount.xls", getClass());
kSession = new DroolsBeanFactory().getKieSession(resource);
}
@Test
public void giveIndvidualLongStanding_whenFireRule_thenCorrectDiscount() throws Exception {
Customer customer = new Customer(CustomerType.INDIVIDUAL, 5);
kSession.insert(customer);
kSession.fireAllRules();
assertEquals(customer.getDiscount(), 15);
}
@Test
public void giveIndvidualRecent_whenFireRule_thenCorrectDiscount() throws Exception {
Customer customer = new Customer(CustomerType.INDIVIDUAL, 1);
kSession.insert(customer);
kSession.fireAllRules();
assertEquals(customer.getDiscount(), 5);
}
@Test
public void giveBusinessAny_whenFireRule_thenCorrectDiscount() throws Exception {
Customer customer = new Customer(CustomerType.BUSINESS, 0);
kSession.insert(customer);
kSession.fireAllRules();
assertEquals(customer.getDiscount(), 20);
}
}
@@ -3,6 +3,7 @@ package com.baeldung.drools.service;
import com.baeldung.drools.model.Product;
import org.junit.Before;
import org.junit.Test;
import static junit.framework.TestCase.assertEquals;
@@ -11,22 +12,22 @@ public class ProductServiceIntegrationTest {
private ProductService productService;
@Before
public void setup(){
productService=new ProductService();
public void setup() {
productService = new ProductService();
}
@Test
public void whenProductTypeElectronic_ThenLabelBarcode(){
Product product=new Product("Microwave","Electronic");
product=productService.applyLabelToProduct(product);
assertEquals("BarCode",product.getLabel());
public void whenProductTypeElectronic_ThenLabelBarcode() {
Product product = new Product("Microwave", "Electronic");
product = productService.applyLabelToProduct(product);
assertEquals("BarCode", product.getLabel());
}
@Test
public void whenProductTypeBook_ThenLabelIsbn(){
Product product=new Product("AutoBiography","Book");
product=productService.applyLabelToProduct(product);
assertEquals("ISBN",product.getLabel());
public void whenProductTypeBook_ThenLabelIsbn() {
Product product = new Product("AutoBiography", "Book");
product = productService.applyLabelToProduct(product);
assertEquals("ISBN", product.getLabel());
}
}
+52
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@@ -0,0 +1,52 @@
<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/maven-v4_0_0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.baeldung</groupId>
<artifactId>jmh</artifactId>
<packaging>jar</packaging>
<version>1.0-SNAPSHOT</version>
<name>jmh</name>
<url>http://maven.apache.org</url>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-core</artifactId>
<version>1.19</version>
</dependency>
<dependency>
<groupId>org.openjdk.jmh</groupId>
<artifactId>jmh-generator-annprocess</artifactId>
<version>1.19</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>3.8.1</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-jar-plugin</artifactId>
<configuration>
<archive>
<manifest>
<mainClass>com.baeldung.Application</mainClass>
</manifest>
</archive>
</configuration>
</plugin>
</plugins>
</build>
</project>
@@ -0,0 +1,14 @@
package com.baeldung;
import java.io.IOException;
import org.openjdk.jmh.Main;
import org.openjdk.jmh.runner.RunnerException;
public class Application {
public static void main(String[] args) throws RunnerException, IOException {
Main.main(args);
}
}
@@ -0,0 +1,12 @@
package com.baeldung;
import org.openjdk.jmh.annotations.Benchmark;
public class BenchMark {
@Benchmark
public void init() {
}
}
@@ -0,0 +1,38 @@
package com.baeldung;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestSuite;
/**
* Unit test for simple App.
*/
public class AppTest
extends TestCase
{
/**
* Create the test case
*
* @param testName name of the test case
*/
public AppTest( String testName )
{
super( testName );
}
/**
* @return the suite of tests being tested
*/
public static Test suite()
{
return new TestSuite( AppTest.class );
}
/**
* Rigourous Test :-)
*/
public void testApp()
{
assertTrue( true );
}
}
+1
View File
@@ -16,6 +16,7 @@
- [Software Transactional Memory in Java Using Multiverse](http://www.baeldung.com/java-multiverse-stm)
- [Introduction to HikariCP](http://www.baeldung.com/hikaricp)
- [Serenity BDD with Spring and JBehave](http://www.baeldung.com/serenity-spring-jbehave)
- [Locality-Sensitive Hashing in Java Using Java-LSH](http://www.baeldung.com/locality-sensitive-hashing)
The libraries module contains examples related to small libraries that are relatively easy to use and does not require any separate module of its own.
+26
View File
@@ -70,6 +70,32 @@
</execution>
</executions>
</plugin>
<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>

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