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JAVA-12097: renamed algorithms-module to algorithms-modules

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sampadawagde
2022-05-20 22:07:32 +05:30
parent 3b028d36d0
commit a2afe2eed0
324 changed files with 31 additions and 20 deletions
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13
algorithms-modules/algorithms-miscellaneous-1/README.md Normal file
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## Algorithms - Miscellaneous
This module contains articles about algorithms. Some classes of algorithms, e.g., [sorting](/../algorithms-sorting) and
[genetic algorithms](/../algorithms-genetic), have their own dedicated modules.
### Relevant articles:
- [Validating Input With Finite Automata in Java](https://www.baeldung.com/java-finite-automata)
- [Example of Hill Climbing Algorithm in Java](https://www.baeldung.com/java-hill-climbing-algorithm)
- [Introduction to Minimax Algorithm with a Java Implementation](https://www.baeldung.com/java-minimax-algorithm)
- [How to Calculate Levenshtein Distance in Java?](https://www.baeldung.com/java-levenshtein-distance)
- [How to Find the Kth Largest Element in Java](https://www.baeldung.com/java-kth-largest-element)
- More articles: [[next -->]](/algorithms-miscellaneous-2)

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algorithms-modules/algorithms-miscellaneous-1/pom.xml Normal file
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<?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">
<modelVersion>4.0.0</modelVersion>
<artifactId>algorithms-miscellaneous-1</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>algorithms-miscellaneous-1</name>
<parent>
<groupId>com.baeldung</groupId>
<artifactId>algorithms-modules</artifactId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<dependencies>
<dependency>
<groupId>org.apache.commons</groupId>
<artifactId>commons-math3</artifactId>
<version>${commons-math3.version}</version>
</dependency>
<dependency>
<groupId>com.google.guava</groupId>
<artifactId>guava</artifactId>
<version>${guava.version}</version>
</dependency>
<dependency>
<groupId>commons-codec</groupId>
<artifactId>commons-codec</artifactId>
<version>${commons-codec.version}</version>
</dependency>
<dependency>
<groupId>org.projectlombok</groupId>
<artifactId>lombok</artifactId>
<version>${lombok.version}</version>
<scope>provided</scope>
</dependency>
<dependency>
<groupId>com.github.dpaukov</groupId>
<artifactId>combinatoricslib3</artifactId>
<version>${combinatoricslib3.version}</version>
</dependency>
</dependencies>
<reporting>
<plugins>
<plugin>
<groupId>org.codehaus.mojo</groupId>
<artifactId>cobertura-maven-plugin</artifactId>
<version>${cobertura.plugin.version}</version>
<configuration>
<instrumentation>
<ignores>
<ignore>com/baeldung/algorithms/dijkstra/*</ignore>
</ignores>
<excludes>
<exclude>com/baeldung/algorithms/dijkstra/*</exclude>
</excludes>
</instrumentation>
</configuration>
</plugin>
</plugins>
</reporting>
<properties>
<commons-math3.version>3.6.1</commons-math3.version>
<commons-codec.version>1.11</commons-codec.version>
<combinatoricslib3.version>3.3.0</combinatoricslib3.version>
<cobertura.plugin.version>2.7</cobertura.plugin.version>
</properties>
</project>

20
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/automata/FiniteStateMachine.java Normal file
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package com.baeldung.algorithms.automata;
/**
* Finite state machine.
*/
public interface FiniteStateMachine {
/**
* Follow a transition, switch the state of the machine.
* @param c Char.
* @return A new finite state machine with the new state.
*/
FiniteStateMachine switchState(final CharSequence c);
/**
* Is the current state a final one?
* @return true or false.
*/
boolean canStop();
}

30
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/automata/RtFiniteStateMachine.java Normal file
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package com.baeldung.algorithms.automata;
/**
* Default implementation of a finite state machine.
* This class is immutable and thread-safe.
*/
public final class RtFiniteStateMachine implements FiniteStateMachine {
/**
* Current state.
*/
private State current;
/**
* Ctor.
* @param initial Initial state of this machine.
*/
public RtFiniteStateMachine(final State initial) {
this.current = initial;
}
public FiniteStateMachine switchState(final CharSequence c) {
return new RtFiniteStateMachine(this.current.transit(c));
}
public boolean canStop() {
return this.current.isFinal();
}
}

42
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/automata/RtState.java Normal file
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package com.baeldung.algorithms.automata;
import java.util.ArrayList;
import java.util.List;
/**
* State in a finite state machine.
*/
public final class RtState implements State {
private List<Transition> transitions;
private boolean isFinal;
public RtState() {
this(false);
}
public RtState(final boolean isFinal) {
this.transitions = new ArrayList<>();
this.isFinal = isFinal;
}
public State transit(final CharSequence c) {
return transitions
.stream()
.filter(t -> t.isPossible(c))
.map(Transition::state)
.findAny()
.orElseThrow(() -> new IllegalArgumentException("Input not accepted: " + c));
}
public boolean isFinal() {
return this.isFinal;
}
@Override
public State with(Transition tr) {
this.transitions.add(tr);
return this;
}
}

31
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/automata/RtTransition.java Normal file
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package com.baeldung.algorithms.automata;
/**
* Transition in finite state machine.
*/
public final class RtTransition implements Transition {
private String rule;
private State next;
/**
* Ctor.
* @param rule Rule that a character has to meet
* in order to get to the next state.
* @param next Next state.
*/
public RtTransition (String rule, State next) {
this.rule = rule;
this.next = next;
}
public State state() {
return this.next;
}
public boolean isPossible(CharSequence c) {
return this.rule.equalsIgnoreCase(String.valueOf(c));
}
}

29
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/automata/State.java Normal file
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package com.baeldung.algorithms.automata;
/**
* State. Part of a finite state machine.
*/
public interface State {
/**
* Add a Transition to this state.
* @param tr Given transition.
* @return Modified State.
*/
State with(final Transition tr);
/**
* Follow one of the transitions, to get
* to the next state.
* @param c Character.
* @return State.
* @throws IllegalStateException if the char is not accepted.
*/
State transit(final CharSequence c);
/**
* Can the automaton stop on this state?
* @return true or false
*/
boolean isFinal();
}

20
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/automata/Transition.java Normal file
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package com.baeldung.algorithms.automata;
/**
* Transition in a finite State machine.
*/
public interface Transition {
/**
* Is the transition possible with the given character?
* @param c char.
* @return true or false.
*/
boolean isPossible(final CharSequence c);
/**
* The state to which this transition leads.
* @return State.
*/
State state();
}

189
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/hillclimbing/HillClimbing.java Normal file
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package com.baeldung.algorithms.hillclimbing;
import java.util.ArrayList;
import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.Stack;
public class HillClimbing {
public static void main(String[] args) {
HillClimbing hillClimbing = new HillClimbing();
String blockArr[] = { "B", "C", "D", "A" };
Stack<String> startState = hillClimbing.getStackWithValues(blockArr);
String goalBlockArr[] = { "A", "B", "C", "D" };
Stack<String> goalState = hillClimbing.getStackWithValues(goalBlockArr);
try {
List<State> solutionSequence = hillClimbing.getRouteWithHillClimbing(startState, goalState);
solutionSequence.forEach(HillClimbing::printEachStep);
} catch (Exception e) {
e.printStackTrace();
}
}
private static void printEachStep(State state) {
List<Stack<String>> stackList = state.getState();
System.out.println("----------------");
stackList.forEach(stack -> {
while (!stack.isEmpty()) {
System.out.println(stack.pop());
}
System.out.println(" ");
});
}
private Stack<String> getStackWithValues(String[] blocks) {
Stack<String> stack = new Stack<>();
for (String block : blocks)
stack.push(block);
return stack;
}
/**
* This method prepares path from init state to goal state
*/
public List<State> getRouteWithHillClimbing(Stack<String> initStateStack, Stack<String> goalStateStack) throws Exception {
List<Stack<String>> initStateStackList = new ArrayList<>();
initStateStackList.add(initStateStack);
int initStateHeuristics = getHeuristicsValue(initStateStackList, goalStateStack);
State initState = new State(initStateStackList, initStateHeuristics);
List<State> resultPath = new ArrayList<>();
resultPath.add(new State(initState));
State currentState = initState;
boolean noStateFound = false;
while (!currentState.getState()
.get(0)
.equals(goalStateStack) || noStateFound) {
noStateFound = true;
State nextState = findNextState(currentState, goalStateStack);
if (nextState != null) {
noStateFound = false;
currentState = nextState;
resultPath.add(new State(nextState));
}
}
return resultPath;
}
/**
* This method finds new state from current state based on goal and
* heuristics
*/
public State findNextState(State currentState, Stack<String> goalStateStack) {
List<Stack<String>> listOfStacks = currentState.getState();
int currentStateHeuristics = currentState.getHeuristics();
return listOfStacks.stream()
.map(stack -> {
return applyOperationsOnState(listOfStacks, stack, currentStateHeuristics, goalStateStack);
})
.filter(Objects::nonNull)
.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
*/
private State pushElementToNewStack(List<Stack<String>> currentStackList, String block, int currentStateHeuristics, Stack<String> goalStateStack) {
State newState = null;
Stack<String> newStack = new Stack<>();
newStack.push(block);
currentStackList.add(newStack);
int newStateHeuristics = getHeuristicsValue(currentStackList, goalStateStack);
if (newStateHeuristics > currentStateHeuristics) {
newState = new State(currentStackList, newStateHeuristics);
} else {
currentStackList.remove(newStack);
}
return newState;
}
/**
* 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
*/
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 -> {
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
*/
public int getHeuristicsValue(List<Stack<String>> currentState, Stack<String> goalStateStack) {
Integer heuristicValue;
heuristicValue = currentState.stream()
.mapToInt(stack -> {
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;
}
}

43
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/hillclimbing/State.java Normal file
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package com.baeldung.algorithms.hillclimbing;
import java.util.ArrayList;
import java.util.List;
import java.util.Stack;
public class State {
private List<Stack<String>> state;
private int heuristics;
public State(List<Stack<String>> state) {
this.state = state;
}
State(List<Stack<String>> state, int heuristics) {
this.state = state;
this.heuristics = heuristics;
}
State(State state) {
if (state != null) {
this.state = new ArrayList<>();
for (Stack s : state.getState()) {
Stack s1;
s1 = (Stack) s.clone();
this.state.add(s1);
}
this.heuristics = state.getHeuristics();
}
}
public List<Stack<String>> getState() {
return state;
}
public int getHeuristics() {
return heuristics;
}
public void setHeuristics(int heuristics) {
this.heuristics = heuristics;
}
}

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algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/kthlargest/FindKthLargest.java Normal file
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package com.baeldung.algorithms.kthlargest;
import java.util.Arrays;
import java.util.Collections;
import java.util.stream.IntStream;
public class FindKthLargest {
public int findKthLargestBySorting(Integer[] arr, int k) {
Arrays.sort(arr);
int targetIndex = arr.length - k;
return arr[targetIndex];
}
public int findKthLargestBySortingDesc(Integer[] arr, int k) {
Arrays.sort(arr, Collections.reverseOrder());
return arr[k - 1];
}
public int findKthElementByQuickSelect(Integer[] arr, int left, int right, int k) {
if (k >= 0 && k <= right - left + 1) {
int pos = partition(arr, left, right);
if (pos - left == k) {
return arr[pos];
}
if (pos - left > k) {
return findKthElementByQuickSelect(arr, left, pos - 1, k);
}
return findKthElementByQuickSelect(arr, pos + 1, right, k - pos + left - 1);
}
return 0;
}
public int findKthElementByQuickSelectWithIterativePartition(Integer[] arr, int left, int right, int k) {
if (k >= 0 && k <= right - left + 1) {
int pos = partitionIterative(arr, left, right);
if (pos - left == k) {
return arr[pos];
}
if (pos - left > k) {
return findKthElementByQuickSelectWithIterativePartition(arr, left, pos - 1, k);
}
return findKthElementByQuickSelectWithIterativePartition(arr, pos + 1, right, k - pos + left - 1);
}
return 0;
}
private int partition(Integer[] arr, int left, int right) {
int pivot = arr[right];
Integer[] leftArr;
Integer[] rightArr;
leftArr = IntStream.range(left, right)
.filter(i -> arr[i] < pivot)
.map(i -> arr[i])
.boxed()
.toArray(Integer[]::new);
rightArr = IntStream.range(left, right)
.filter(i -> arr[i] > pivot)
.map(i -> arr[i])
.boxed()
.toArray(Integer[]::new);
int leftArraySize = leftArr.length;
System.arraycopy(leftArr, 0, arr, left, leftArraySize);
arr[leftArraySize + left] = pivot;
System.arraycopy(rightArr, 0, arr, left + leftArraySize + 1, rightArr.length);
return left + leftArraySize;
}
private int partitionIterative(Integer[] arr, int left, int right) {
int pivot = arr[right], i = left;
for (int j = left; j <= right - 1; j++) {
if (arr[j] <= pivot) {
swap(arr, i, j);
i++;
}
}
swap(arr, i, right);
return i;
}
public int findKthElementByRandomizedQuickSelect(Integer[] arr, int left, int right, int k) {
if (k >= 0 && k <= right - left + 1) {
int pos = randomPartition(arr, left, right);
if (pos - left == k) {
return arr[pos];
}
if (pos - left > k) {
return findKthElementByRandomizedQuickSelect(arr, left, pos - 1, k);
}
return findKthElementByRandomizedQuickSelect(arr, pos + 1, right, k - pos + left - 1);
}
return 0;
}
private int randomPartition(Integer arr[], int left, int right) {
int n = right - left + 1;
int pivot = (int) (Math.random() * n);
swap(arr, left + pivot, right);
return partition(arr, left, right);
}
private void swap(Integer[] arr, int n1, int n2) {
int temp = arr[n2];
arr[n2] = arr[n1];
arr[n1] = temp;
}
}

14
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/minimax/GameOfBones.java Normal file
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package com.baeldung.algorithms.minimax;
import java.util.List;
import java.util.stream.Collectors;
import java.util.stream.IntStream;
class GameOfBones {
static List<Integer> getPossibleStates(int noOfBonesInHeap) {
return IntStream.rangeClosed(1, 3).boxed()
.map(i -> noOfBonesInHeap - i)
.filter(newHeapCount -> newHeapCount >= 0)
.collect(Collectors.toList());
}
}

60
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/minimax/MiniMax.java Normal file
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package com.baeldung.algorithms.minimax;
import java.util.Comparator;
import java.util.List;
import java.util.NoSuchElementException;
public class MiniMax {
private Tree tree;
public Tree getTree() {
return tree;
}
public void constructTree(int noOfBones) {
tree = new Tree();
Node root = new Node(noOfBones, true);
tree.setRoot(root);
constructTree(root);
}
private void constructTree(Node parentNode) {
List<Integer> listofPossibleHeaps = GameOfBones.getPossibleStates(parentNode.getNoOfBones());
boolean isChildMaxPlayer = !parentNode.isMaxPlayer();
listofPossibleHeaps.forEach(n -> {
Node newNode = new Node(n, isChildMaxPlayer);
parentNode.addChild(newNode);
if (newNode.getNoOfBones() > 0) {
constructTree(newNode);
}
});
}
public boolean checkWin() {
Node root = tree.getRoot();
checkWin(root);
return root.getScore() == 1;
}
private void checkWin(Node node) {
List<Node> children = node.getChildren();
boolean isMaxPlayer = node.isMaxPlayer();
children.forEach(child -> {
if (child.getNoOfBones() == 0) {
child.setScore(isMaxPlayer ? 1 : -1);
} else {
checkWin(child);
}
});
Node bestChild = findBestChild(isMaxPlayer, children);
node.setScore(bestChild.getScore());
}
private Node findBestChild(boolean isMaxPlayer, List<Node> children) {
Comparator<Node> byScoreComparator = Comparator.comparing(Node::getScore);
return children.stream()
.max(isMaxPlayer ? byScoreComparator : byScoreComparator.reversed())
.orElseThrow(NoSuchElementException::new);
}
}

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algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/minimax/Node.java Normal file
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package com.baeldung.algorithms.minimax;
import java.util.ArrayList;
import java.util.List;
public class Node {
private int noOfBones;
private boolean isMaxPlayer;
private int score;
private List<Node> children;
public Node(int noOfBones, boolean isMaxPlayer) {
this.noOfBones = noOfBones;
this.isMaxPlayer = isMaxPlayer;
children = new ArrayList<>();
}
int getNoOfBones() {
return noOfBones;
}
boolean isMaxPlayer() {
return isMaxPlayer;
}
int getScore() {
return score;
}
void setScore(int score) {
this.score = score;
}
List<Node> getChildren() {
return children;
}
void addChild(Node newNode) {
children.add(newNode);
}
}

16
algorithms-modules/algorithms-miscellaneous-1/src/main/java/com/baeldung/algorithms/minimax/Tree.java Normal file
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package com.baeldung.algorithms.minimax;
public class Tree {
private Node root;
Tree() {
}
Node getRoot() {
return root;
}
void setRoot(Node root) {
this.root = root;
}
}

13
algorithms-modules/algorithms-miscellaneous-1/src/main/resources/logback.xml Normal file
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<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n
</pattern>
</encoder>
</appender>
<root level="INFO">
<appender-ref ref="STDOUT" />
</root>
</configuration>

58
algorithms-modules/algorithms-miscellaneous-1/src/test/java/com/baeldung/algorithms/HillClimbingAlgorithmUnitTest.java Normal file
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package com.baeldung.algorithms;
import com.baeldung.algorithms.hillclimbing.HillClimbing;
import com.baeldung.algorithms.hillclimbing.State;
import org.junit.Before;
import org.junit.Test;
import java.util.ArrayList;
import java.util.List;
import java.util.Stack;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertNotNull;
import static org.junit.Assert.assertTrue;
public class HillClimbingAlgorithmUnitTest {
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<>();
for (String block : blockArr)
initStack.push(block);
goalStack = new Stack<>();
for (String block : goalBlockArr)
goalStack.push(block);
}
@Test
public void givenInitAndGoalState_whenGetPathWithHillClimbing_thenPathFound() {
HillClimbing hillClimbing = new HillClimbing();
List<State> path;
try {
path = hillClimbing.getRouteWithHillClimbing(initStack, goalStack);
assertNotNull(path);
assertEquals(path.get(path.size() - 1)
.getState()
.get(0), goalStack);
} catch (Exception e) {
e.printStackTrace();
}
}
@Test
public void givenCurrentState_whenFindNextState_thenBetterHeuristics() {
HillClimbing hillClimbing = new HillClimbing();
List<Stack<String>> initList = new ArrayList<>();
initList.add(initStack);
State currentState = new State(initList);
currentState.setHeuristics(hillClimbing.getHeuristicsValue(initList, goalStack));
State nextState = hillClimbing.findNextState(currentState, goalStack);
assertTrue(nextState.getHeuristics() > currentState.getHeuristics());
}
}

73
algorithms-modules/algorithms-miscellaneous-1/src/test/java/com/baeldung/algorithms/RtFiniteStateMachineLongRunningUnitTest.java Normal file
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package com.baeldung.algorithms;
import com.baeldung.algorithms.automata.*;
import org.junit.Test;
import static org.junit.Assert.assertTrue;
public final class RtFiniteStateMachineLongRunningUnitTest {
@Test
public void acceptsSimplePair() {
String json = "{\"key\":\"value\"}";
FiniteStateMachine machine = this.buildJsonStateMachine();
for (int i = 0; i < json.length(); i++) {
machine = machine.switchState(String.valueOf(json.charAt(i)));
}
assertTrue(machine.canStop());
}
@Test
public void acceptsMorePairs() {
String json = "{\"key1\":\"value1\",\"key2\":\"value2\"}";
FiniteStateMachine machine = this.buildJsonStateMachine();
for (int i = 0; i < json.length(); i++) {
machine = machine.switchState(String.valueOf(json.charAt(i)));
}
assertTrue(machine.canStop());
}
@Test(expected = IllegalArgumentException.class)
public void missingColon() {
String json = "{\"key\"\"value\"}";
FiniteStateMachine machine = this.buildJsonStateMachine();
for (int i = 0; i < json.length(); i++) {
machine = machine.switchState(String.valueOf(json.charAt(i)));
}
}
/**
* Builds a finite state machine to validate a simple
* Json object.
* @return
*/
private FiniteStateMachine buildJsonStateMachine() {
State first = new RtState();
State second = new RtState();
State third = new RtState();
State fourth = new RtState();
State fifth = new RtState();
State sixth = new RtState();
State seventh = new RtState();
State eighth = new RtState(true);
first.with(new RtTransition("{", second));
second.with(new RtTransition("\"", third));
//Add transitions with chars 0-9 and a-z
for (int i = 0; i < 26; i++) {
if (i < 10) {
third = third.with(new RtTransition(String.valueOf(i), third));
sixth = sixth.with(new RtTransition(String.valueOf(i), sixth));
}
third = third.with(new RtTransition(String.valueOf((char) ('a' + i)), third));
sixth = sixth.with(new RtTransition(String.valueOf((char) ('a' + i)), sixth));
}
third.with(new RtTransition("\"", fourth));
fourth.with(new RtTransition(":", fifth));
fifth.with(new RtTransition("\"", sixth));
sixth.with(new RtTransition("\"", seventh));
seventh.with(new RtTransition(",", second));
seventh.with(new RtTransition("}", eighth));
return new RtFiniteStateMachine(first);
}
}

57
algorithms-modules/algorithms-miscellaneous-1/src/test/java/com/baeldung/algorithms/kthlargest/FindKthLargestUnitTest.java Normal file
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package com.baeldung.algorithms.kthlargest;
import static org.assertj.core.api.Assertions.*;
import org.junit.Before;
import org.junit.Test;
public class FindKthLargestUnitTest {
private FindKthLargest findKthLargest;
private Integer[] arr = { 3, 7, 1, 2, 8, 10, 4, 5, 6, 9 };
@Before
public void setup() {
findKthLargest = new FindKthLargest();
}
@Test
public void givenIntArray_whenFindKthLargestBySorting_thenGetResult() {
int k = 3;
assertThat(findKthLargest.findKthLargestBySorting(arr, k)).isEqualTo(8);
}
@Test
public void givenIntArray_whenFindKthLargestBySortingDesc_thenGetResult() {
int k = 3;
assertThat(findKthLargest.findKthLargestBySortingDesc(arr, k)).isEqualTo(8);
}
@Test
public void givenIntArray_whenFindKthLargestByQuickSelect_thenGetResult() {
int k = 3;
int kthLargest = arr.length - k;
assertThat(findKthLargest.findKthElementByQuickSelect(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
}
@Test
public void givenIntArray_whenFindKthElementByQuickSelectIterative_thenGetResult() {
int k = 3;
int kthLargest = arr.length - k;
assertThat(findKthLargest.findKthElementByQuickSelectWithIterativePartition(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
}
@Test
public void givenIntArray_whenFindKthSmallestByQuickSelect_thenGetResult() {
int k = 3;
assertThat(findKthLargest.findKthElementByQuickSelect(arr, 0, arr.length - 1, k - 1)).isEqualTo(3);
}
@Test
public void givenIntArray_whenFindKthLargestByRandomizedQuickSelect_thenGetResult() {
int k = 3;
int kthLargest = arr.length - k;
assertThat(findKthLargest.findKthElementByRandomizedQuickSelect(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
}
}

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algorithms-modules/algorithms-miscellaneous-1/src/test/java/com/baeldung/algorithms/minimax/MinimaxUnitTest.java Normal file
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package com.baeldung.algorithms.minimax;
import org.junit.Before;
import org.junit.Test;
import static org.junit.Assert.*;
import com.baeldung.algorithms.minimax.MiniMax;
import com.baeldung.algorithms.minimax.Tree;
public class MinimaxUnitTest {
private Tree gameTree;
private MiniMax miniMax;
@Before
public void initMiniMaxUtility() {
miniMax = new MiniMax();
}
@Test
public void givenMiniMax_whenConstructTree_thenNotNullTree() {
assertNull(gameTree);
miniMax.constructTree(6);
gameTree = miniMax.getTree();
assertNotNull(gameTree);
}
@Test
public void givenMiniMax_whenCheckWin_thenComputeOptimal() {
miniMax.constructTree(6);
boolean result = miniMax.checkWin();
assertTrue(result);
miniMax.constructTree(8);
result = miniMax.checkWin();
assertFalse(result);
}
}