[BAEL-9551] - Splitted algorithms into 4 modules
This commit is contained in:
amit2103
@@ -0,0 +1,58 @@
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package com.baeldung.algorithms;
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import com.baeldung.algorithms.hillclimbing.HillClimbing;
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import com.baeldung.algorithms.hillclimbing.State;
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import org.junit.Before;
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import org.junit.Test;
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import java.util.ArrayList;
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import java.util.List;
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import java.util.Stack;
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import static org.junit.Assert.assertEquals;
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import static org.junit.Assert.assertNotNull;
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import static org.junit.Assert.assertTrue;
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public class HillClimbingAlgorithmUnitTest {
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private Stack<String> initStack;
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private Stack<String> goalStack;
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@Before
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public void initStacks() {
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String blockArr[] = { "B", "C", "D", "A" };
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String goalBlockArr[] = { "A", "B", "C", "D" };
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initStack = new Stack<>();
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for (String block : blockArr)
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initStack.push(block);
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goalStack = new Stack<>();
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for (String block : goalBlockArr)
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goalStack.push(block);
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}
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@Test
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public void givenInitAndGoalState_whenGetPathWithHillClimbing_thenPathFound() {
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HillClimbing hillClimbing = new HillClimbing();
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List<State> path;
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try {
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path = hillClimbing.getRouteWithHillClimbing(initStack, goalStack);
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assertNotNull(path);
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assertEquals(path.get(path.size() - 1)
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.getState()
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.get(0), goalStack);
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} catch (Exception e) {
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e.printStackTrace();
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}
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}
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@Test
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public void givenCurrentState_whenFindNextState_thenBetterHeuristics() {
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HillClimbing hillClimbing = new HillClimbing();
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List<Stack<String>> initList = new ArrayList<>();
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initList.add(initStack);
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State currentState = new State(initList);
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currentState.setHeuristics(hillClimbing.getHeuristicsValue(initList, goalStack));
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State nextState = hillClimbing.findNextState(currentState, goalStack);
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assertTrue(nextState.getHeuristics() > currentState.getHeuristics());
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}
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}
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@@ -0,0 +1,118 @@
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package com.baeldung.algorithms;
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import com.baeldung.algorithms.middleelementlookup.MiddleElementLookup;
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import com.baeldung.algorithms.middleelementlookup.Node;
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import org.junit.Test;
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import java.util.LinkedList;
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import static org.junit.Assert.assertEquals;
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import static org.junit.Assert.assertFalse;
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public class MiddleElementLookupUnitTest {
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@Test
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public void whenFindingMiddleLinkedList_thenMiddleFound() {
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assertEquals("3", MiddleElementLookup
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.findMiddleElementLinkedList(createLinkedList(5))
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.get());
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assertEquals("2", MiddleElementLookup
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.findMiddleElementLinkedList(createLinkedList(4))
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.get());
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}
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@Test
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public void whenFindingMiddleFromHead_thenMiddleFound() {
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assertEquals("3", MiddleElementLookup
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.findMiddleElementFromHead(createNodesList(5))
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.get());
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assertEquals("2", MiddleElementLookup
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.findMiddleElementFromHead(createNodesList(4))
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.get());
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}
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@Test
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public void whenFindingMiddleFromHead1PassRecursively_thenMiddleFound() {
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assertEquals("3", MiddleElementLookup
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.findMiddleElementFromHead1PassRecursively(createNodesList(5))
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.get());
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assertEquals("2", MiddleElementLookup
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.findMiddleElementFromHead1PassRecursively(createNodesList(4))
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.get());
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}
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@Test
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public void whenFindingMiddleFromHead1PassIteratively_thenMiddleFound() {
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assertEquals("3", MiddleElementLookup
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.findMiddleElementFromHead1PassIteratively(createNodesList(5))
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.get());
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assertEquals("2", MiddleElementLookup
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.findMiddleElementFromHead1PassIteratively(createNodesList(4))
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.get());
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}
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@Test
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public void whenListEmptyOrNull_thenMiddleNotFound() {
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// null list
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assertFalse(MiddleElementLookup
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.findMiddleElementLinkedList(null)
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.isPresent());
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assertFalse(MiddleElementLookup
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.findMiddleElementFromHead(null)
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.isPresent());
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assertFalse(MiddleElementLookup
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.findMiddleElementFromHead1PassIteratively(null)
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.isPresent());
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assertFalse(MiddleElementLookup
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.findMiddleElementFromHead1PassRecursively(null)
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.isPresent());
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// empty LinkedList
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assertFalse(MiddleElementLookup
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.findMiddleElementLinkedList(new LinkedList<>())
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.isPresent());
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// LinkedList with nulls
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LinkedList<String> nullsList = new LinkedList<>();
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nullsList.add(null);
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nullsList.add(null);
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assertFalse(MiddleElementLookup
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.findMiddleElementLinkedList(nullsList)
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.isPresent());
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// nodes with null values
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assertFalse(MiddleElementLookup
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.findMiddleElementFromHead(new Node(null))
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.isPresent());
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assertFalse(MiddleElementLookup
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.findMiddleElementFromHead1PassIteratively(new Node(null))
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.isPresent());
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assertFalse(MiddleElementLookup
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.findMiddleElementFromHead1PassRecursively(new Node(null))
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.isPresent());
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}
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private static LinkedList<String> createLinkedList(int n) {
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LinkedList<String> list = new LinkedList<>();
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for (int i = 1; i <= n; i++) {
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list.add(String.valueOf(i));
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}
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return list;
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}
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private static Node createNodesList(int n) {
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Node head = new Node("1");
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Node current = head;
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for (int i = 2; i <= n; i++) {
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Node newNode = new Node(String.valueOf(i));
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current.setNext(newNode);
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current = newNode;
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}
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return head;
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}
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}
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@@ -0,0 +1,73 @@
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package com.baeldung.algorithms;
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import com.baeldung.algorithms.automata.*;
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import org.junit.Test;
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import static org.junit.Assert.assertTrue;
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public final class RtFiniteStateMachineLongRunningUnitTest {
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@Test
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public void acceptsSimplePair() {
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String json = "{\"key\":\"value\"}";
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FiniteStateMachine machine = this.buildJsonStateMachine();
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for (int i = 0; i < json.length(); i++) {
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machine = machine.switchState(String.valueOf(json.charAt(i)));
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}
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assertTrue(machine.canStop());
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}
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@Test
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public void acceptsMorePairs() {
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String json = "{\"key1\":\"value1\",\"key2\":\"value2\"}";
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FiniteStateMachine machine = this.buildJsonStateMachine();
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for (int i = 0; i < json.length(); i++) {
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machine = machine.switchState(String.valueOf(json.charAt(i)));
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}
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assertTrue(machine.canStop());
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}
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@Test(expected = IllegalArgumentException.class)
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public void missingColon() {
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String json = "{\"key\"\"value\"}";
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FiniteStateMachine machine = this.buildJsonStateMachine();
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for (int i = 0; i < json.length(); i++) {
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machine = machine.switchState(String.valueOf(json.charAt(i)));
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}
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}
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/**
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* Builds a finite state machine to validate a simple
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* Json object.
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* @return
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*/
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private FiniteStateMachine buildJsonStateMachine() {
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State first = new RtState();
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State second = new RtState();
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State third = new RtState();
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State fourth = new RtState();
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State fifth = new RtState();
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State sixth = new RtState();
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State seventh = new RtState();
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State eighth = new RtState(true);
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first.with(new RtTransition("{", second));
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second.with(new RtTransition("\"", third));
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//Add transitions with chars 0-9 and a-z
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for (int i = 0; i < 26; i++) {
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if (i < 10) {
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third = third.with(new RtTransition(String.valueOf(i), third));
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sixth = sixth.with(new RtTransition(String.valueOf(i), sixth));
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}
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third = third.with(new RtTransition(String.valueOf((char) ('a' + i)), third));
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sixth = sixth.with(new RtTransition(String.valueOf((char) ('a' + i)), sixth));
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}
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third.with(new RtTransition("\"", fourth));
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fourth.with(new RtTransition(":", fifth));
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fifth.with(new RtTransition("\"", sixth));
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sixth.with(new RtTransition("\"", seventh));
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seventh.with(new RtTransition(",", second));
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seventh.with(new RtTransition("}", eighth));
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return new RtFiniteStateMachine(first);
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}
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}
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@@ -0,0 +1,25 @@
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package com.baeldung.algorithms;
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import org.junit.Assert;
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import org.junit.Test;
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import com.baeldung.algorithms.string.search.StringSearchAlgorithms;
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public class StringSearchAlgorithmsUnitTest {
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@Test
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public void testStringSearchAlgorithms(){
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String text = "This is some nice text.";
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String pattern = "some";
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int realPosition = text.indexOf(pattern);
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Assert.assertTrue(realPosition == StringSearchAlgorithms.simpleTextSearch(pattern.toCharArray(), text.toCharArray()));
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Assert.assertTrue(realPosition == StringSearchAlgorithms.RabinKarpMethod(pattern.toCharArray(), text.toCharArray()));
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Assert.assertTrue(realPosition == StringSearchAlgorithms.KnuthMorrisPrattSearch(pattern.toCharArray(), text.toCharArray()));
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Assert.assertTrue(realPosition == StringSearchAlgorithms.BoyerMooreHorspoolSimpleSearch(pattern.toCharArray(), text.toCharArray()));
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Assert.assertTrue(realPosition == StringSearchAlgorithms.BoyerMooreHorspoolSearch(pattern.toCharArray(), text.toCharArray()));
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}
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}
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@@ -0,0 +1,43 @@
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package com.baeldung.algorithms.binarysearch;
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import java.util.Arrays;
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import java.util.List;
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import org.junit.Assert;
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import org.junit.Test;
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import com.baeldung.algorithms.binarysearch.BinarySearch;
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public class BinarySearchUnitTest {
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int[] sortedArray = { 0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, 9 };
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int key = 6;
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int expectedIndexForSearchKey = 7;
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int low = 0;
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int high = sortedArray.length - 1;
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List<Integer> sortedList = Arrays.asList(0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, 9);
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@Test
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public void givenASortedArrayOfIntegers_whenBinarySearchRunIterativelyForANumber_thenGetIndexOfTheNumber() {
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BinarySearch binSearch = new BinarySearch();
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Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchIteratively(sortedArray, key, low, high));
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}
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@Test
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public void givenASortedArrayOfIntegers_whenBinarySearchRunRecursivelyForANumber_thenGetIndexOfTheNumber() {
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BinarySearch binSearch = new BinarySearch();
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Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchRecursively(sortedArray, key, low, high));
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}
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@Test
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public void givenASortedArrayOfIntegers_whenBinarySearchRunUsingArraysClassStaticMethodForANumber_thenGetIndexOfTheNumber() {
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BinarySearch binSearch = new BinarySearch();
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Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchUsingJavaArrays(sortedArray, key));
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}
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@Test
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public void givenASortedListOfIntegers_whenBinarySearchRunUsingCollectionsClassStaticMethodForANumber_thenGetIndexOfTheNumber() {
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BinarySearch binSearch = new BinarySearch();
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Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchUsingJavaCollections(sortedList, key));
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}
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}
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@@ -0,0 +1,57 @@
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package com.baeldung.algorithms.kthlargest;
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import static org.assertj.core.api.Assertions.*;
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import org.junit.Before;
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import org.junit.Test;
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public class FindKthLargestUnitTest {
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private FindKthLargest findKthLargest;
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private Integer[] arr = { 3, 7, 1, 2, 8, 10, 4, 5, 6, 9 };
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@Before
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public void setup() {
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findKthLargest = new FindKthLargest();
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}
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@Test
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public void givenIntArray_whenFindKthLargestBySorting_thenGetResult() {
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int k = 3;
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assertThat(findKthLargest.findKthLargestBySorting(arr, k)).isEqualTo(8);
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}
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@Test
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public void givenIntArray_whenFindKthLargestBySortingDesc_thenGetResult() {
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int k = 3;
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assertThat(findKthLargest.findKthLargestBySortingDesc(arr, k)).isEqualTo(8);
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}
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@Test
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public void givenIntArray_whenFindKthLargestByQuickSelect_thenGetResult() {
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int k = 3;
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int kthLargest = arr.length - k;
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assertThat(findKthLargest.findKthElementByQuickSelect(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
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}
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@Test
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public void givenIntArray_whenFindKthElementByQuickSelectIterative_thenGetResult() {
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int k = 3;
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int kthLargest = arr.length - k;
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assertThat(findKthLargest.findKthElementByQuickSelectWithIterativePartition(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
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}
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@Test
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public void givenIntArray_whenFindKthSmallestByQuickSelect_thenGetResult() {
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int k = 3;
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assertThat(findKthLargest.findKthElementByQuickSelect(arr, 0, arr.length - 1, k - 1)).isEqualTo(3);
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}
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@Test
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public void givenIntArray_whenFindKthLargestByRandomizedQuickSelect_thenGetResult() {
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int k = 3;
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int kthLargest = arr.length - k;
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assertThat(findKthLargest.findKthElementByRandomizedQuickSelect(arr, 0, arr.length - 1, kthLargest)).isEqualTo(8);
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}
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}
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@@ -0,0 +1,40 @@
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package com.baeldung.algorithms.linesintersection;
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import java.awt.Point;
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import java.util.Optional;
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import org.junit.Test;
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import static org.junit.Assert.assertTrue;
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import static org.junit.Assert.assertFalse;
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import static org.junit.Assert.assertEquals;
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public class LinesIntersectionServiceUnitTest {
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private LinesIntersectionService service = new LinesIntersectionService();
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@Test
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public void givenNotParallelLines_whenCalculatePoint_thenPresent() {
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double m1 = 0;
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double b1 = 0;
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double m2 = 1;
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double b2 = -1;
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Optional<Point> point = service.calculateIntersectionPoint(m1, b1, m2, b2);
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assertTrue(point.isPresent());
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assertEquals(point.get().getX(), 1, 0.001);
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assertEquals(point.get().getY(), 0, 0.001);
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}
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@Test
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public void givenParallelLines_whenCalculatePoint_thenEmpty() {
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double m1 = 1;
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double b1 = 0;
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double m2 = 1;
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double b2 = -1;
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Optional<Point> point = service.calculateIntersectionPoint(m1, b1, m2, b2);
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assertFalse(point.isPresent());
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}
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}
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@@ -0,0 +1,92 @@
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package com.baeldung.algorithms.mcts;
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import static org.junit.Assert.assertEquals;
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import static org.junit.Assert.assertTrue;
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import java.util.List;
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import org.junit.Before;
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import org.junit.Test;
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import com.baeldung.algorithms.mcts.montecarlo.MonteCarloTreeSearch;
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import com.baeldung.algorithms.mcts.montecarlo.State;
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import com.baeldung.algorithms.mcts.montecarlo.UCT;
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import com.baeldung.algorithms.mcts.tictactoe.Board;
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import com.baeldung.algorithms.mcts.tictactoe.Position;
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import com.baeldung.algorithms.mcts.tree.Tree;
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public class MCTSUnitTest {
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private Tree gameTree;
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private MonteCarloTreeSearch mcts;
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@Before
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public void initGameTree() {
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gameTree = new Tree();
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mcts = new MonteCarloTreeSearch();
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}
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@Test
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public void givenStats_whenGetUCTForNode_thenUCTMatchesWithManualData() {
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double uctValue = 15.79;
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assertEquals(UCT.uctValue(600, 300, 20), uctValue, 0.01);
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}
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@Test
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public void giveninitBoardState_whenGetAllPossibleStates_thenNonEmptyList() {
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State initState = gameTree.getRoot().getState();
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List<State> possibleStates = initState.getAllPossibleStates();
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assertTrue(possibleStates.size() > 0);
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}
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@Test
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public void givenEmptyBoard_whenPerformMove_thenLessAvailablePossitions() {
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Board board = new Board();
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int initAvailablePositions = board.getEmptyPositions().size();
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board.performMove(Board.P1, new Position(1, 1));
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int availablePositions = board.getEmptyPositions().size();
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assertTrue(initAvailablePositions > availablePositions);
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}
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@Test
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public void givenEmptyBoard_whenSimulateInterAIPlay_thenGameDraw() {
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Board board = new Board();
|
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int player = Board.P1;
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int totalMoves = Board.DEFAULT_BOARD_SIZE * Board.DEFAULT_BOARD_SIZE;
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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);
|
||||
}
|
||||
|
||||
}
|
||||
@@ -0,0 +1,36 @@
|
||||
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);
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,52 @@
|
||||
package com.baeldung.algorithms.multiswarm;
|
||||
|
||||
/**
|
||||
* Specific fitness function implementation to solve the League of Legends
|
||||
* problem. This is the problem statement: <br>
|
||||
* <br>
|
||||
* In League of Legends, a player's Effective Health when defending against
|
||||
* physical damage is given by E=H(100+A)/100, where H is health and A is armor.
|
||||
* Health costs 2.5 gold per unit, and Armor costs 18 gold per unit. You have
|
||||
* 3600 gold, and you need to optimize the effectiveness E of your health and
|
||||
* armor to survive as long as possible against the enemy team's attacks. How
|
||||
* much of each should you buy? <br>
|
||||
* <br>
|
||||
*
|
||||
* @author Donato Rimenti
|
||||
*
|
||||
*/
|
||||
public class LolFitnessFunction implements FitnessFunction {
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
*
|
||||
* @see
|
||||
* com.baeldung.algorithms.multiswarm.FitnessFunction#getFitness(long[])
|
||||
*/
|
||||
@Override
|
||||
public double getFitness(long[] particlePosition) {
|
||||
|
||||
long health = particlePosition[0];
|
||||
long armor = particlePosition[1];
|
||||
|
||||
// No negatives values accepted.
|
||||
if (health < 0 && armor < 0) {
|
||||
return -(health * armor);
|
||||
} else if (health < 0) {
|
||||
return health;
|
||||
} else if (armor < 0) {
|
||||
return armor;
|
||||
}
|
||||
|
||||
// Checks if the solution is actually feasible provided our gold.
|
||||
double cost = (health * 2.5) + (armor * 18);
|
||||
if (cost > 3600) {
|
||||
return 3600 - cost;
|
||||
} else {
|
||||
// Check how good is the solution.
|
||||
long fitness = (health * (100 + armor)) / 100;
|
||||
return fitness;
|
||||
}
|
||||
}
|
||||
|
||||
}
|
||||
@@ -0,0 +1,54 @@
|
||||
package com.baeldung.algorithms.multiswarm;
|
||||
|
||||
import org.junit.Assert;
|
||||
import org.junit.Rule;
|
||||
import org.junit.Test;
|
||||
|
||||
import com.baeldung.algorithms.support.MayFailRule;
|
||||
|
||||
/**
|
||||
* Test for {@link Multiswarm}.
|
||||
*
|
||||
* @author Donato Rimenti
|
||||
*
|
||||
*/
|
||||
public class MultiswarmUnitTest {
|
||||
|
||||
/**
|
||||
* Rule for handling expected failures. We use this since this test may
|
||||
* actually fail due to bad luck in the random generation.
|
||||
*/
|
||||
@Rule
|
||||
public MayFailRule mayFailRule = new MayFailRule();
|
||||
|
||||
/**
|
||||
* Tests the multiswarm algorithm with a generic problem. The problem is the
|
||||
* following: <br>
|
||||
* <br>
|
||||
* In League of Legends, a player's Effective Health when defending against
|
||||
* physical damage is given by E=H(100+A)/100, where H is health and A is
|
||||
* armor. Health costs 2.5 gold per unit, and Armor costs 18 gold per unit.
|
||||
* You have 3600 gold, and you need to optimize the effectiveness E of your
|
||||
* health and armor to survive as long as possible against the enemy team's
|
||||
* attacks. How much of each should you buy? <br>
|
||||
* <br>
|
||||
* The solution is H = 1080, A = 50 for a total fitness of 1620. Tested with
|
||||
* 50 swarms each with 1000 particles.
|
||||
*/
|
||||
@Test
|
||||
public void givenMultiswarm_whenThousandIteration_thenSolutionFound() {
|
||||
Multiswarm multiswarm = new Multiswarm(50, 1000, new LolFitnessFunction());
|
||||
|
||||
// Iterates 1000 times through the main loop and prints the result.
|
||||
for (int i = 0; i < 1000; i++) {
|
||||
multiswarm.mainLoop();
|
||||
}
|
||||
|
||||
System.out.println("Best fitness found: " + multiswarm.getBestFitness() + "[" + multiswarm.getBestPosition()[0]
|
||||
+ "," + multiswarm.getBestPosition()[1] + "]");
|
||||
Assert.assertEquals(1080, multiswarm.getBestPosition()[0]);
|
||||
Assert.assertEquals(50, multiswarm.getBestPosition()[1]);
|
||||
Assert.assertEquals(1620, (int) multiswarm.getBestFitness());
|
||||
}
|
||||
|
||||
}
|
||||
@@ -0,0 +1,20 @@
|
||||
package com.baeldung.algorithms.string;
|
||||
|
||||
import org.junit.jupiter.api.Assertions;
|
||||
import org.junit.jupiter.api.Test;
|
||||
|
||||
public class EnglishAlphabetLettersUnitTest {
|
||||
|
||||
@Test
|
||||
void givenString_whenContainsAllCharacter_thenTrue() {
|
||||
String input = "Farmer jack realized that big yellow quilts were expensive";
|
||||
Assertions.assertTrue(EnglishAlphabetLetters.checkStringForAllTheLetters(input));
|
||||
}
|
||||
|
||||
@Test
|
||||
void givenString_whenContainsAllCharacter_thenUsingStreamExpectTrue() {
|
||||
String input = "Farmer jack realized that big yellow quilts were expensive";
|
||||
Assertions.assertTrue(EnglishAlphabetLetters.checkStringForAllLetterUsingStream(input));
|
||||
}
|
||||
|
||||
}
|
||||
@@ -0,0 +1,38 @@
|
||||
package com.baeldung.algorithms.support;
|
||||
|
||||
import org.junit.Rule;
|
||||
import org.junit.rules.TestRule;
|
||||
import org.junit.runner.Description;
|
||||
import org.junit.runners.model.Statement;
|
||||
|
||||
/**
|
||||
* JUnit custom rule for managing tests that may fail due to heuristics or
|
||||
* randomness. In order to use this, just instantiate this object as a public
|
||||
* field inside the test class and annotate it with {@link Rule}.
|
||||
*
|
||||
* @author Donato Rimenti
|
||||
*
|
||||
*/
|
||||
public class MayFailRule implements TestRule {
|
||||
|
||||
/*
|
||||
* (non-Javadoc)
|
||||
*
|
||||
* @see org.junit.rules.TestRule#apply(org.junit.runners.model.Statement,
|
||||
* org.junit.runner.Description)
|
||||
*/
|
||||
@Override
|
||||
public Statement apply(Statement base, Description description) {
|
||||
return new Statement() {
|
||||
@Override
|
||||
public void evaluate() throws Throwable {
|
||||
try {
|
||||
base.evaluate();
|
||||
} catch (Throwable e) {
|
||||
// Ignore the exception since we expect this.
|
||||
}
|
||||
}
|
||||
};
|
||||
}
|
||||
|
||||
}
|
||||
Reference in New Issue
Block a user