Merge pull request #8212 from catalin-burcea/BAEL-19135

[BAEL-19135] - Move search articles to a new module
This commit is contained in:
Loredana Crusoveanu 2019-11-24 14:29:31 +02:00 committed by GitHub
commit bae6af78d1
31 changed files with 744 additions and 327 deletions

View File

@ -7,8 +7,6 @@ This module contains articles about algorithms. Some classes of algorithms, e.g.
- [Validating Input With Finite Automata in Java](https://www.baeldung.com/java-finite-automata)
- [Example of Hill Climbing Algorithm](https://www.baeldung.com/java-hill-climbing-algorithm)
- [Monte Carlo Tree Search for Tic-Tac-Toe Game](https://www.baeldung.com/java-monte-carlo-tree-search)
- [Binary Search Algorithm in Java](https://www.baeldung.com/java-binary-search)
- [Introduction to Minimax Algorithm](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)

View File

@ -14,8 +14,6 @@ This module contains articles about algorithms. Some classes of algorithms, e.g.
- [A Guide to the Folding Technique in Java](https://www.baeldung.com/folding-hashing-technique)
- [Creating a Triangle with for Loops in Java](https://www.baeldung.com/java-print-triangle)
- [Efficient Word Frequency Calculator in Java](https://www.baeldung.com/java-word-frequency)
- [Interpolation Search in Java](https://www.baeldung.com/java-interpolation-search)
- [The K-Means Clustering Algorithm in Java](https://www.baeldung.com/java-k-means-clustering-algorithm)
- [Creating a Custom Annotation in Java](https://www.baeldung.com/java-custom-annotation)
- [Breadth-First Search Algorithm in Java](https://www.baeldung.com/java-breadth-first-search)
- More articles: [[<-- prev]](/algorithms-miscellaneous-2) [[next -->]](/algorithms-miscellaneous-4)

View File

@ -5,7 +5,6 @@ This module contains articles about algorithms. Some classes of algorithms, e.g.
### Relevant articles:
- [Multi-Swarm Optimization Algorithm in Java](https://www.baeldung.com/java-multi-swarm-algorithm)
- [String Search Algorithms for Large Texts](https://www.baeldung.com/java-full-text-search-algorithms)
- [Check If a String Contains All The Letters of The Alphabet](https://www.baeldung.com/java-string-contains-all-letters)
- [Find the Middle Element of a Linked List](https://www.baeldung.com/java-linked-list-middle-element)
- [Find Substrings That Are Palindromes in Java](https://www.baeldung.com/java-palindrome-substrings)

View File

@ -1,25 +0,0 @@
package com.baeldung.algorithms;
import org.junit.Assert;
import org.junit.Test;
import com.baeldung.algorithms.string.search.StringSearchAlgorithms;
public class StringSearchAlgorithmsUnitTest {
@Test
public void testStringSearchAlgorithms(){
String text = "This is some nice text.";
String pattern = "some";
int realPosition = text.indexOf(pattern);
Assert.assertTrue(realPosition == StringSearchAlgorithms.simpleTextSearch(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == StringSearchAlgorithms.RabinKarpMethod(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == StringSearchAlgorithms.KnuthMorrisPrattSearch(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == StringSearchAlgorithms.BoyerMooreHorspoolSimpleSearch(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == StringSearchAlgorithms.BoyerMooreHorspoolSearch(pattern.toCharArray(), text.toCharArray()));
}
}

View File

@ -0,0 +1,11 @@
## Algorithms - Searching
This module contains articles about searching algorithms.
### Relevant articles:
- [Binary Search Algorithm in Java](https://www.baeldung.com/java-binary-search)
- [Depth First Search in Java](https://www.baeldung.com/java-depth-first-search)
- [Interpolation Search in Java](https://www.baeldung.com/java-interpolation-search)
- [Breadth-First Search Algorithm in Java](https://www.baeldung.com/java-breadth-first-search)
- [String Search Algorithms for Large Texts](https://www.baeldung.com/java-full-text-search-algorithms)
- [Monte Carlo Tree Search for Tic-Tac-Toe Game](https://www.baeldung.com/java-monte-carlo-tree-search)

View File

@ -0,0 +1,37 @@
<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-searching</artifactId>
<version>0.0.1-SNAPSHOT</version>
<name>algorithms-searching</name>
<parent>
<groupId>com.baeldung</groupId>
<artifactId>parent-modules</artifactId>
<version>1.0.0-SNAPSHOT</version>
</parent>
<dependencies>
<dependency>
<groupId>org.assertj</groupId>
<artifactId>assertj-core</artifactId>
<version>${org.assertj.core.version}</version>
<scope>test</scope>
</dependency>
</dependencies>
<build>
<finalName>algorithms-searching</finalName>
<resources>
<resource>
<directory>src/main/resources</directory>
<filtering>true</filtering>
</resource>
</resources>
</build>
<properties>
<org.assertj.core.version>3.9.0</org.assertj.core.version>
</properties>
</project>

View File

@ -1,55 +1,55 @@
package com.baeldung.algorithms.binarysearch;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class BinarySearch {
public int runBinarySearchIteratively(int[] sortedArray, int key, int low, int high) {
int index = Integer.MAX_VALUE;
while (low <= high) {
int mid = (low + high) / 2;
if (sortedArray[mid] < key) {
low = mid + 1;
} else if (sortedArray[mid] > key) {
high = mid - 1;
} else if (sortedArray[mid] == key) {
index = mid;
break;
}
}
return index;
}
public int runBinarySearchRecursively(int[] sortedArray, int key, int low, int high) {
int middle = (low + high) / 2;
if (high < low) {
return -1;
}
if (key == sortedArray[middle]) {
return middle;
} else if (key < sortedArray[middle]) {
return runBinarySearchRecursively(sortedArray, key, low, middle - 1);
} else {
return runBinarySearchRecursively(sortedArray, key, middle + 1, high);
}
}
public int runBinarySearchUsingJavaArrays(int[] sortedArray, Integer key) {
int index = Arrays.binarySearch(sortedArray, key);
return index;
}
public int runBinarySearchUsingJavaCollections(List<Integer> sortedList, Integer key) {
int index = Collections.binarySearch(sortedList, key);
return index;
}
}
package com.baeldung.algorithms.binarysearch;
import java.util.Arrays;
import java.util.Collections;
import java.util.List;
public class BinarySearch {
public int runBinarySearchIteratively(int[] sortedArray, int key, int low, int high) {
int index = Integer.MAX_VALUE;
while (low <= high) {
int mid = (low + high) / 2;
if (sortedArray[mid] < key) {
low = mid + 1;
} else if (sortedArray[mid] > key) {
high = mid - 1;
} else if (sortedArray[mid] == key) {
index = mid;
break;
}
}
return index;
}
public int runBinarySearchRecursively(int[] sortedArray, int key, int low, int high) {
int middle = (low + high) / 2;
if (high < low) {
return -1;
}
if (key == sortedArray[middle]) {
return middle;
} else if (key < sortedArray[middle]) {
return runBinarySearchRecursively(sortedArray, key, low, middle - 1);
} else {
return runBinarySearchRecursively(sortedArray, key, middle + 1, high);
}
}
public int runBinarySearchUsingJavaArrays(int[] sortedArray, Integer key) {
int index = Arrays.binarySearch(sortedArray, key);
return index;
}
public int runBinarySearchUsingJavaCollections(List<Integer> sortedList, Integer key) {
int index = Collections.binarySearch(sortedList, key);
return index;
}
}

View File

@ -0,0 +1,227 @@
package com.baeldung.algorithms.dfs;
import java.util.LinkedList;
import java.util.Queue;
import java.util.Stack;
public class BinaryTree {
Node root;
public void add(int value) {
root = addRecursive(root, value);
}
private Node addRecursive(Node current, int value) {
if (current == null) {
return new Node(value);
}
if (value < current.value) {
current.left = addRecursive(current.left, value);
} else if (value > current.value) {
current.right = addRecursive(current.right, value);
}
return current;
}
public boolean isEmpty() {
return root == null;
}
public int getSize() {
return getSizeRecursive(root);
}
private int getSizeRecursive(Node current) {
return current == null ? 0 : getSizeRecursive(current.left) + 1 + getSizeRecursive(current.right);
}
public boolean containsNode(int value) {
return containsNodeRecursive(root, value);
}
private boolean containsNodeRecursive(Node current, int value) {
if (current == null) {
return false;
}
if (value == current.value) {
return true;
}
return value < current.value
? containsNodeRecursive(current.left, value)
: containsNodeRecursive(current.right, value);
}
public void delete(int value) {
root = deleteRecursive(root, value);
}
private Node deleteRecursive(Node current, int value) {
if (current == null) {
return null;
}
if (value == current.value) {
// Case 1: no children
if (current.left == null && current.right == null) {
return null;
}
// Case 2: only 1 child
if (current.right == null) {
return current.left;
}
if (current.left == null) {
return current.right;
}
// Case 3: 2 children
int smallestValue = findSmallestValue(current.right);
current.value = smallestValue;
current.right = deleteRecursive(current.right, smallestValue);
return current;
}
if (value < current.value) {
current.left = deleteRecursive(current.left, value);
return current;
}
current.right = deleteRecursive(current.right, value);
return current;
}
private int findSmallestValue(Node root) {
return root.left == null ? root.value : findSmallestValue(root.left);
}
public void traverseInOrder(Node node) {
if (node != null) {
traverseInOrder(node.left);
visit(node.value);
traverseInOrder(node.right);
}
}
public void traversePreOrder(Node node) {
if (node != null) {
visit(node.value);
traversePreOrder(node.left);
traversePreOrder(node.right);
}
}
public void traversePostOrder(Node node) {
if (node != null) {
traversePostOrder(node.left);
traversePostOrder(node.right);
visit(node.value);
}
}
public void traverseLevelOrder() {
if (root == null) {
return;
}
Queue<Node> nodes = new LinkedList<>();
nodes.add(root);
while (!nodes.isEmpty()) {
Node node = nodes.remove();
System.out.print(" " + node.value);
if (node.left != null) {
nodes.add(node.left);
}
if (node.left != null) {
nodes.add(node.right);
}
}
}
public void traverseInOrderWithoutRecursion() {
Stack<Node> stack = new Stack<Node>();
Node current = root;
stack.push(root);
while(! stack.isEmpty()) {
while(current.left != null) {
current = current.left;
stack.push(current);
}
current = stack.pop();
visit(current.value);
if(current.right != null) {
current = current.right;
stack.push(current);
}
}
}
public void traversePreOrderWithoutRecursion() {
Stack<Node> stack = new Stack<Node>();
Node current = root;
stack.push(root);
while(! stack.isEmpty()) {
current = stack.pop();
visit(current.value);
if(current.right != null)
stack.push(current.right);
if(current.left != null)
stack.push(current.left);
}
}
public void traversePostOrderWithoutRecursion() {
Stack<Node> stack = new Stack<Node>();
Node prev = root;
Node current = root;
stack.push(root);
while (!stack.isEmpty()) {
current = stack.peek();
boolean hasChild = (current.left != null || current.right != null);
boolean isPrevLastChild = (prev == current.right || (prev == current.left && current.right == null));
if (!hasChild || isPrevLastChild) {
current = stack.pop();
visit(current.value);
prev = current;
} else {
if (current.right != null) {
stack.push(current.right);
}
if (current.left != null) {
stack.push(current.left);
}
}
}
}
private void visit(int value) {
System.out.print(" " + value);
}
class Node {
int value;
Node left;
Node right;
Node(int value) {
this.value = value;
right = null;
left = null;
}
}
}

View File

@ -1,4 +1,4 @@
package com.baeldung.graph;
package com.baeldung.algorithms.dfs;
import java.util.ArrayList;
import java.util.HashMap;

View File

@ -1,194 +1,194 @@
package com.baeldung.algorithms.string.search;
import java.math.BigInteger;
import java.util.Random;
public class StringSearchAlgorithms {
public static long getBiggerPrime(int m) {
BigInteger prime = BigInteger.probablePrime(getNumberOfBits(m) + 1, new Random());
return prime.longValue();
}
public static long getLowerPrime(long number) {
BigInteger prime = BigInteger.probablePrime(getNumberOfBits(number) - 1, new Random());
return prime.longValue();
}
private static int getNumberOfBits(final int number) {
return Integer.SIZE - Integer.numberOfLeadingZeros(number);
}
private static int getNumberOfBits(final long number) {
return Long.SIZE - Long.numberOfLeadingZeros(number);
}
public static int simpleTextSearch(char[] pattern, char[] text) {
int patternSize = pattern.length;
int textSize = text.length;
int i = 0;
while ((i + patternSize) <= textSize) {
int j = 0;
while (text[i + j] == pattern[j]) {
j += 1;
if (j >= patternSize)
return i;
}
i += 1;
}
return -1;
}
public static int RabinKarpMethod(char[] pattern, char[] text) {
int patternSize = pattern.length; // m
int textSize = text.length; // n
long prime = getBiggerPrime(patternSize);
long r = 1;
for (int i = 0; i < patternSize - 1; i++) {
r *= 2;
r = r % prime;
}
long[] t = new long[textSize];
t[0] = 0;
long pfinger = 0;
for (int j = 0; j < patternSize; j++) {
t[0] = (2 * t[0] + text[j]) % prime;
pfinger = (2 * pfinger + pattern[j]) % prime;
}
int i = 0;
boolean passed = false;
int diff = textSize - patternSize;
for (i = 0; i <= diff; i++) {
if (t[i] == pfinger) {
passed = true;
for (int k = 0; k < patternSize; k++) {
if (text[i + k] != pattern[k]) {
passed = false;
break;
}
}
if (passed) {
return i;
}
}
if (i < diff) {
long value = 2 * (t[i] - r * text[i]) + text[i + patternSize];
t[i + 1] = ((value % prime) + prime) % prime;
}
}
return -1;
}
public static int KnuthMorrisPrattSearch(char[] pattern, char[] text) {
int patternSize = pattern.length; // m
int textSize = text.length; // n
int i = 0, j = 0;
int[] shift = KnuthMorrisPrattShift(pattern);
while ((i + patternSize) <= textSize) {
while (text[i + j] == pattern[j]) {
j += 1;
if (j >= patternSize)
return i;
}
if (j > 0) {
i += shift[j - 1];
j = Math.max(j - shift[j - 1], 0);
} else {
i++;
j = 0;
}
}
return -1;
}
public static int[] KnuthMorrisPrattShift(char[] pattern) {
int patternSize = pattern.length;
int[] shift = new int[patternSize];
shift[0] = 1;
int i = 1, j = 0;
while ((i + j) < patternSize) {
if (pattern[i + j] == pattern[j]) {
shift[i + j] = i;
j++;
} else {
if (j == 0)
shift[i] = i + 1;
if (j > 0) {
i = i + shift[j - 1];
j = Math.max(j - shift[j - 1], 0);
} else {
i = i + 1;
j = 0;
}
}
}
return shift;
}
public static int BoyerMooreHorspoolSimpleSearch(char[] pattern, char[] text) {
int patternSize = pattern.length;
int textSize = text.length;
int i = 0, j = 0;
while ((i + patternSize) <= textSize) {
j = patternSize - 1;
while (text[i + j] == pattern[j]) {
j--;
if (j < 0)
return i;
}
i++;
}
return -1;
}
public static int BoyerMooreHorspoolSearch(char[] pattern, char[] text) {
int shift[] = new int[256];
for (int k = 0; k < 256; k++) {
shift[k] = pattern.length;
}
for (int k = 0; k < pattern.length - 1; k++) {
shift[pattern[k]] = pattern.length - 1 - k;
}
int i = 0, j = 0;
while ((i + pattern.length) <= text.length) {
j = pattern.length - 1;
while (text[i + j] == pattern[j]) {
j -= 1;
if (j < 0)
return i;
}
i = i + shift[text[i + pattern.length - 1]];
}
return -1;
}
}
package com.baeldung.algorithms.textsearch;
import java.math.BigInteger;
import java.util.Random;
public class TextSearchAlgorithms {
public static long getBiggerPrime(int m) {
BigInteger prime = BigInteger.probablePrime(getNumberOfBits(m) + 1, new Random());
return prime.longValue();
}
public static long getLowerPrime(long number) {
BigInteger prime = BigInteger.probablePrime(getNumberOfBits(number) - 1, new Random());
return prime.longValue();
}
private static int getNumberOfBits(final int number) {
return Integer.SIZE - Integer.numberOfLeadingZeros(number);
}
private static int getNumberOfBits(final long number) {
return Long.SIZE - Long.numberOfLeadingZeros(number);
}
public static int simpleTextSearch(char[] pattern, char[] text) {
int patternSize = pattern.length;
int textSize = text.length;
int i = 0;
while ((i + patternSize) <= textSize) {
int j = 0;
while (text[i + j] == pattern[j]) {
j += 1;
if (j >= patternSize)
return i;
}
i += 1;
}
return -1;
}
public static int RabinKarpMethod(char[] pattern, char[] text) {
int patternSize = pattern.length; // m
int textSize = text.length; // n
long prime = getBiggerPrime(patternSize);
long r = 1;
for (int i = 0; i < patternSize - 1; i++) {
r *= 2;
r = r % prime;
}
long[] t = new long[textSize];
t[0] = 0;
long pfinger = 0;
for (int j = 0; j < patternSize; j++) {
t[0] = (2 * t[0] + text[j]) % prime;
pfinger = (2 * pfinger + pattern[j]) % prime;
}
int i = 0;
boolean passed = false;
int diff = textSize - patternSize;
for (i = 0; i <= diff; i++) {
if (t[i] == pfinger) {
passed = true;
for (int k = 0; k < patternSize; k++) {
if (text[i + k] != pattern[k]) {
passed = false;
break;
}
}
if (passed) {
return i;
}
}
if (i < diff) {
long value = 2 * (t[i] - r * text[i]) + text[i + patternSize];
t[i + 1] = ((value % prime) + prime) % prime;
}
}
return -1;
}
public static int KnuthMorrisPrattSearch(char[] pattern, char[] text) {
int patternSize = pattern.length; // m
int textSize = text.length; // n
int i = 0, j = 0;
int[] shift = KnuthMorrisPrattShift(pattern);
while ((i + patternSize) <= textSize) {
while (text[i + j] == pattern[j]) {
j += 1;
if (j >= patternSize)
return i;
}
if (j > 0) {
i += shift[j - 1];
j = Math.max(j - shift[j - 1], 0);
} else {
i++;
j = 0;
}
}
return -1;
}
public static int[] KnuthMorrisPrattShift(char[] pattern) {
int patternSize = pattern.length;
int[] shift = new int[patternSize];
shift[0] = 1;
int i = 1, j = 0;
while ((i + j) < patternSize) {
if (pattern[i + j] == pattern[j]) {
shift[i + j] = i;
j++;
} else {
if (j == 0)
shift[i] = i + 1;
if (j > 0) {
i = i + shift[j - 1];
j = Math.max(j - shift[j - 1], 0);
} else {
i = i + 1;
j = 0;
}
}
}
return shift;
}
public static int BoyerMooreHorspoolSimpleSearch(char[] pattern, char[] text) {
int patternSize = pattern.length;
int textSize = text.length;
int i = 0, j = 0;
while ((i + patternSize) <= textSize) {
j = patternSize - 1;
while (text[i + j] == pattern[j]) {
j--;
if (j < 0)
return i;
}
i++;
}
return -1;
}
public static int BoyerMooreHorspoolSearch(char[] pattern, char[] text) {
int shift[] = new int[256];
for (int k = 0; k < 256; k++) {
shift[k] = pattern.length;
}
for (int k = 0; k < pattern.length - 1; k++) {
shift[pattern[k]] = pattern.length - 1 - k;
}
int i = 0, j = 0;
while ((i + pattern.length) <= text.length) {
j = pattern.length - 1;
while (text[i + j] == pattern[j]) {
j -= 1;
if (j < 0)
return i;
}
i = i + shift[text[i + pattern.length - 1]];
}
return -1;
}
}

View File

@ -0,0 +1,13 @@
<?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>

View File

@ -1,43 +1,41 @@
package com.baeldung.algorithms.binarysearch;
import java.util.Arrays;
import java.util.List;
import org.junit.Assert;
import org.junit.Test;
import com.baeldung.algorithms.binarysearch.BinarySearch;
public class BinarySearchUnitTest {
int[] sortedArray = { 0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, 9 };
int key = 6;
int expectedIndexForSearchKey = 7;
int low = 0;
int high = sortedArray.length - 1;
List<Integer> sortedList = Arrays.asList(0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, 9);
@Test
public void givenASortedArrayOfIntegers_whenBinarySearchRunIterativelyForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchIteratively(sortedArray, key, low, high));
}
@Test
public void givenASortedArrayOfIntegers_whenBinarySearchRunRecursivelyForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchRecursively(sortedArray, key, low, high));
}
@Test
public void givenASortedArrayOfIntegers_whenBinarySearchRunUsingArraysClassStaticMethodForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchUsingJavaArrays(sortedArray, key));
}
@Test
public void givenASortedListOfIntegers_whenBinarySearchRunUsingCollectionsClassStaticMethodForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchUsingJavaCollections(sortedList, key));
}
}
package com.baeldung.algorithms.binarysearch;
import java.util.Arrays;
import java.util.List;
import org.junit.Assert;
import org.junit.Test;
public class BinarySearchUnitTest {
int[] sortedArray = { 0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, 9 };
int key = 6;
int expectedIndexForSearchKey = 7;
int low = 0;
int high = sortedArray.length - 1;
List<Integer> sortedList = Arrays.asList(0, 1, 2, 3, 4, 5, 5, 6, 7, 8, 9, 9);
@Test
public void givenASortedArrayOfIntegers_whenBinarySearchRunIterativelyForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchIteratively(sortedArray, key, low, high));
}
@Test
public void givenASortedArrayOfIntegers_whenBinarySearchRunRecursivelyForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchRecursively(sortedArray, key, low, high));
}
@Test
public void givenASortedArrayOfIntegers_whenBinarySearchRunUsingArraysClassStaticMethodForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchUsingJavaArrays(sortedArray, key));
}
@Test
public void givenASortedListOfIntegers_whenBinarySearchRunUsingCollectionsClassStaticMethodForANumber_thenGetIndexOfTheNumber() {
BinarySearch binSearch = new BinarySearch();
Assert.assertEquals(expectedIndexForSearchKey, binSearch.runBinarySearchUsingJavaCollections(sortedList, key));
}
}

View File

@ -0,0 +1,136 @@
package com.baeldung.algorithms.dfs;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertFalse;
import static org.junit.Assert.assertTrue;
import org.junit.Test;
public class BinaryTreeUnitTest {
@Test
public void givenABinaryTree_WhenAddingElements_ThenTreeNotEmpty() {
BinaryTree bt = createBinaryTree();
assertTrue(!bt.isEmpty());
}
@Test
public void givenABinaryTree_WhenAddingElements_ThenTreeContainsThoseElements() {
BinaryTree bt = createBinaryTree();
assertTrue(bt.containsNode(6));
assertTrue(bt.containsNode(4));
assertFalse(bt.containsNode(1));
}
@Test
public void givenABinaryTree_WhenAddingExistingElement_ThenElementIsNotAdded() {
BinaryTree bt = createBinaryTree();
int initialSize = bt.getSize();
assertTrue(bt.containsNode(3));
bt.add(3);
assertEquals(initialSize, bt.getSize());
}
@Test
public void givenABinaryTree_WhenLookingForNonExistingElement_ThenReturnsFalse() {
BinaryTree bt = createBinaryTree();
assertFalse(bt.containsNode(99));
}
@Test
public void givenABinaryTree_WhenDeletingElements_ThenTreeDoesNotContainThoseElements() {
BinaryTree bt = createBinaryTree();
assertTrue(bt.containsNode(9));
bt.delete(9);
assertFalse(bt.containsNode(9));
}
@Test
public void givenABinaryTree_WhenDeletingNonExistingElement_ThenTreeDoesNotDelete() {
BinaryTree bt = createBinaryTree();
int initialSize = bt.getSize();
assertFalse(bt.containsNode(99));
bt.delete(99);
assertFalse(bt.containsNode(99));
assertEquals(initialSize, bt.getSize());
}
@Test
public void it_deletes_the_root() {
int value = 12;
BinaryTree bt = new BinaryTree();
bt.add(value);
assertTrue(bt.containsNode(value));
bt.delete(value);
assertFalse(bt.containsNode(value));
}
@Test
public void givenABinaryTree_WhenTraversingInOrder_ThenPrintValues() {
BinaryTree bt = createBinaryTree();
bt.traverseInOrder(bt.root);
System.out.println();
bt.traverseInOrderWithoutRecursion();
}
@Test
public void givenABinaryTree_WhenTraversingPreOrder_ThenPrintValues() {
BinaryTree bt = createBinaryTree();
bt.traversePreOrder(bt.root);
System.out.println();
bt.traversePreOrderWithoutRecursion();
}
@Test
public void givenABinaryTree_WhenTraversingPostOrder_ThenPrintValues() {
BinaryTree bt = createBinaryTree();
bt.traversePostOrder(bt.root);
System.out.println();
bt.traversePostOrderWithoutRecursion();
}
@Test
public void givenABinaryTree_WhenTraversingLevelOrder_ThenPrintValues() {
BinaryTree bt = createBinaryTree();
bt.traverseLevelOrder();
}
private BinaryTree createBinaryTree() {
BinaryTree bt = new BinaryTree();
bt.add(6);
bt.add(4);
bt.add(8);
bt.add(3);
bt.add(5);
bt.add(7);
bt.add(9);
return bt;
}
}

View File

@ -1,7 +1,8 @@
package com.baeldung.graph;
package com.baeldung.algorithms.dfs;
import java.util.List;
import com.baeldung.algorithms.dfs.Graph;
import org.junit.Test;
public class GraphUnitTest {

View File

@ -1,10 +1,10 @@
package com.baeldung.algorithms.interpolationsearch;
import static org.junit.jupiter.api.Assertions.assertEquals;
import org.junit.Before;
import org.junit.Test;
import static org.junit.jupiter.api.Assertions.assertEquals;
public class InterpolationSearchUnitTest {
private int[] myData;

View File

@ -0,0 +1,23 @@
package com.baeldung.algorithms.textsearch;
import org.junit.Assert;
import org.junit.Test;
public class TextSearchAlgorithmsUnitTest {
@Test
public void testStringSearchAlgorithms() {
String text = "This is some nice text.";
String pattern = "some";
int realPosition = text.indexOf(pattern);
Assert.assertTrue(realPosition == TextSearchAlgorithms.simpleTextSearch(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == TextSearchAlgorithms.RabinKarpMethod(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == TextSearchAlgorithms.KnuthMorrisPrattSearch(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == TextSearchAlgorithms.BoyerMooreHorspoolSimpleSearch(pattern.toCharArray(), text.toCharArray()));
Assert.assertTrue(realPosition == TextSearchAlgorithms.BoyerMooreHorspoolSearch(pattern.toCharArray(), text.toCharArray()));
}
}

View File

@ -6,4 +6,3 @@ This module contains articles about data structures in Java
- [The Trie Data Structure in Java](https://www.baeldung.com/trie-java)
- [Implementing a Binary Tree in Java](https://www.baeldung.com/java-binary-tree)
- [Depth First Search in Java](https://www.baeldung.com/java-depth-first-search)

View File

@ -341,6 +341,7 @@
<module>algorithms-miscellaneous-4</module>
<module>algorithms-miscellaneous-5</module>
<module>algorithms-sorting</module>
<module>algorithms-searching</module>
<module>animal-sniffer-mvn-plugin</module>
<module>annotations</module>
<module>antlr</module>
@ -1118,6 +1119,7 @@
<module>algorithms-miscellaneous-4</module>
<module>algorithms-miscellaneous-5</module>
<module>algorithms-sorting</module>
<module>algorithms-searching</module>
<module>animal-sniffer-mvn-plugin</module>
<module>annotations</module>
<module>antlr</module>