Merge pull request #8212 from catalin-burcea/BAEL-19135
[BAEL-19135] - Move search articles to a new module
This commit is contained in:
commit
bae6af78d1
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@ -7,8 +7,6 @@ This module contains articles about algorithms. Some classes of algorithms, e.g.
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- [Validating Input With Finite Automata in Java](https://www.baeldung.com/java-finite-automata)
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- [Example of Hill Climbing Algorithm](https://www.baeldung.com/java-hill-climbing-algorithm)
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- [Monte Carlo Tree Search for Tic-Tac-Toe Game](https://www.baeldung.com/java-monte-carlo-tree-search)
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- [Binary Search Algorithm in Java](https://www.baeldung.com/java-binary-search)
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- [Introduction to Minimax Algorithm](https://www.baeldung.com/java-minimax-algorithm)
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- [How to Calculate Levenshtein Distance in Java?](https://www.baeldung.com/java-levenshtein-distance)
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- [How to Find the Kth Largest Element in Java](https://www.baeldung.com/java-kth-largest-element)
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@ -14,8 +14,6 @@ This module contains articles about algorithms. Some classes of algorithms, e.g.
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- [A Guide to the Folding Technique in Java](https://www.baeldung.com/folding-hashing-technique)
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- [Creating a Triangle with for Loops in Java](https://www.baeldung.com/java-print-triangle)
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- [Efficient Word Frequency Calculator in Java](https://www.baeldung.com/java-word-frequency)
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- [Interpolation Search in Java](https://www.baeldung.com/java-interpolation-search)
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- [The K-Means Clustering Algorithm in Java](https://www.baeldung.com/java-k-means-clustering-algorithm)
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- [Creating a Custom Annotation in Java](https://www.baeldung.com/java-custom-annotation)
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- [Breadth-First Search Algorithm in Java](https://www.baeldung.com/java-breadth-first-search)
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- More articles: [[<-- prev]](/algorithms-miscellaneous-2) [[next -->]](/algorithms-miscellaneous-4)
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@ -5,7 +5,6 @@ This module contains articles about algorithms. Some classes of algorithms, e.g.
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### Relevant articles:
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- [Multi-Swarm Optimization Algorithm in Java](https://www.baeldung.com/java-multi-swarm-algorithm)
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- [String Search Algorithms for Large Texts](https://www.baeldung.com/java-full-text-search-algorithms)
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- [Check If a String Contains All The Letters of The Alphabet](https://www.baeldung.com/java-string-contains-all-letters)
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- [Find the Middle Element of a Linked List](https://www.baeldung.com/java-linked-list-middle-element)
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- [Find Substrings That Are Palindromes in Java](https://www.baeldung.com/java-palindrome-substrings)
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@ -1,25 +0,0 @@
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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 +1,11 @@
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## Algorithms - Searching
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This module contains articles about searching algorithms.
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### Relevant articles:
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- [Binary Search Algorithm in Java](https://www.baeldung.com/java-binary-search)
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- [Depth First Search in Java](https://www.baeldung.com/java-depth-first-search)
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- [Interpolation Search in Java](https://www.baeldung.com/java-interpolation-search)
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- [Breadth-First Search Algorithm in Java](https://www.baeldung.com/java-breadth-first-search)
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- [String Search Algorithms for Large Texts](https://www.baeldung.com/java-full-text-search-algorithms)
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- [Monte Carlo Tree Search for Tic-Tac-Toe Game](https://www.baeldung.com/java-monte-carlo-tree-search)
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@ -0,0 +1,37 @@
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<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<modelVersion>4.0.0</modelVersion>
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<artifactId>algorithms-searching</artifactId>
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<version>0.0.1-SNAPSHOT</version>
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<name>algorithms-searching</name>
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<parent>
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<groupId>com.baeldung</groupId>
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<artifactId>parent-modules</artifactId>
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<version>1.0.0-SNAPSHOT</version>
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</parent>
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<dependencies>
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<dependency>
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<groupId>org.assertj</groupId>
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<artifactId>assertj-core</artifactId>
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<version>${org.assertj.core.version}</version>
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<scope>test</scope>
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</dependency>
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</dependencies>
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<build>
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<finalName>algorithms-searching</finalName>
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<resources>
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<resource>
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<directory>src/main/resources</directory>
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<filtering>true</filtering>
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</resource>
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</resources>
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</build>
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<properties>
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<org.assertj.core.version>3.9.0</org.assertj.core.version>
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</properties>
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</project>
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@ -1,55 +1,55 @@
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package com.baeldung.algorithms.binarysearch;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.List;
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public class BinarySearch {
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public int runBinarySearchIteratively(int[] sortedArray, int key, int low, int high) {
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int index = Integer.MAX_VALUE;
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while (low <= high) {
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int mid = (low + high) / 2;
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if (sortedArray[mid] < key) {
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low = mid + 1;
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} else if (sortedArray[mid] > key) {
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high = mid - 1;
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} else if (sortedArray[mid] == key) {
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index = mid;
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break;
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}
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}
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return index;
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}
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public int runBinarySearchRecursively(int[] sortedArray, int key, int low, int high) {
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int middle = (low + high) / 2;
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if (high < low) {
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return -1;
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}
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if (key == sortedArray[middle]) {
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return middle;
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} else if (key < sortedArray[middle]) {
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return runBinarySearchRecursively(sortedArray, key, low, middle - 1);
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} else {
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return runBinarySearchRecursively(sortedArray, key, middle + 1, high);
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}
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}
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public int runBinarySearchUsingJavaArrays(int[] sortedArray, Integer key) {
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int index = Arrays.binarySearch(sortedArray, key);
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return index;
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}
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public int runBinarySearchUsingJavaCollections(List<Integer> sortedList, Integer key) {
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int index = Collections.binarySearch(sortedList, key);
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return index;
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}
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}
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package com.baeldung.algorithms.binarysearch;
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import java.util.Arrays;
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import java.util.Collections;
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import java.util.List;
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public class BinarySearch {
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public int runBinarySearchIteratively(int[] sortedArray, int key, int low, int high) {
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int index = Integer.MAX_VALUE;
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while (low <= high) {
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int mid = (low + high) / 2;
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if (sortedArray[mid] < key) {
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low = mid + 1;
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} else if (sortedArray[mid] > key) {
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high = mid - 1;
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} else if (sortedArray[mid] == key) {
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index = mid;
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break;
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}
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}
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return index;
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}
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public int runBinarySearchRecursively(int[] sortedArray, int key, int low, int high) {
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int middle = (low + high) / 2;
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if (high < low) {
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return -1;
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}
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if (key == sortedArray[middle]) {
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return middle;
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} else if (key < sortedArray[middle]) {
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return runBinarySearchRecursively(sortedArray, key, low, middle - 1);
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} else {
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return runBinarySearchRecursively(sortedArray, key, middle + 1, high);
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}
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}
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public int runBinarySearchUsingJavaArrays(int[] sortedArray, Integer key) {
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int index = Arrays.binarySearch(sortedArray, key);
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return index;
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}
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public int runBinarySearchUsingJavaCollections(List<Integer> sortedList, Integer key) {
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int index = Collections.binarySearch(sortedList, key);
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return index;
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}
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}
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@ -0,0 +1,227 @@
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package com.baeldung.algorithms.dfs;
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import java.util.LinkedList;
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import java.util.Queue;
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import java.util.Stack;
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public class BinaryTree {
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Node root;
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public void add(int value) {
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root = addRecursive(root, value);
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}
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private Node addRecursive(Node current, int value) {
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if (current == null) {
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return new Node(value);
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}
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if (value < current.value) {
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current.left = addRecursive(current.left, value);
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} else if (value > current.value) {
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current.right = addRecursive(current.right, value);
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}
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return current;
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}
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public boolean isEmpty() {
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return root == null;
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}
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public int getSize() {
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return getSizeRecursive(root);
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}
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private int getSizeRecursive(Node current) {
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return current == null ? 0 : getSizeRecursive(current.left) + 1 + getSizeRecursive(current.right);
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}
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public boolean containsNode(int value) {
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return containsNodeRecursive(root, value);
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}
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private boolean containsNodeRecursive(Node current, int value) {
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if (current == null) {
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return false;
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}
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if (value == current.value) {
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return true;
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}
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return value < current.value
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? containsNodeRecursive(current.left, value)
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: containsNodeRecursive(current.right, value);
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}
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public void delete(int value) {
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root = deleteRecursive(root, value);
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}
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private Node deleteRecursive(Node current, int value) {
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if (current == null) {
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return null;
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}
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if (value == current.value) {
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// Case 1: no children
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if (current.left == null && current.right == null) {
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return null;
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}
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// Case 2: only 1 child
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if (current.right == null) {
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return current.left;
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}
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if (current.left == null) {
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return current.right;
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}
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// Case 3: 2 children
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int smallestValue = findSmallestValue(current.right);
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current.value = smallestValue;
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current.right = deleteRecursive(current.right, smallestValue);
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return current;
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}
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if (value < current.value) {
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current.left = deleteRecursive(current.left, value);
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return current;
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}
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current.right = deleteRecursive(current.right, value);
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return current;
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}
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private int findSmallestValue(Node root) {
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return root.left == null ? root.value : findSmallestValue(root.left);
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}
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public void traverseInOrder(Node node) {
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if (node != null) {
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traverseInOrder(node.left);
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visit(node.value);
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traverseInOrder(node.right);
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}
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}
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public void traversePreOrder(Node node) {
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if (node != null) {
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visit(node.value);
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traversePreOrder(node.left);
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traversePreOrder(node.right);
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}
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}
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public void traversePostOrder(Node node) {
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if (node != null) {
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traversePostOrder(node.left);
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traversePostOrder(node.right);
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visit(node.value);
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}
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}
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public void traverseLevelOrder() {
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if (root == null) {
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return;
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}
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Queue<Node> nodes = new LinkedList<>();
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nodes.add(root);
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while (!nodes.isEmpty()) {
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Node node = nodes.remove();
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System.out.print(" " + node.value);
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if (node.left != null) {
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nodes.add(node.left);
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}
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if (node.left != null) {
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nodes.add(node.right);
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}
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}
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}
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public void traverseInOrderWithoutRecursion() {
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Stack<Node> stack = new Stack<Node>();
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Node current = root;
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stack.push(root);
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while(! stack.isEmpty()) {
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while(current.left != null) {
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current = current.left;
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stack.push(current);
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}
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current = stack.pop();
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visit(current.value);
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if(current.right != null) {
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current = current.right;
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stack.push(current);
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}
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}
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}
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public void traversePreOrderWithoutRecursion() {
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Stack<Node> stack = new Stack<Node>();
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Node current = root;
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stack.push(root);
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while(! stack.isEmpty()) {
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current = stack.pop();
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visit(current.value);
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if(current.right != null)
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stack.push(current.right);
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if(current.left != null)
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stack.push(current.left);
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}
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}
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public void traversePostOrderWithoutRecursion() {
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Stack<Node> stack = new Stack<Node>();
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Node prev = root;
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Node current = root;
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stack.push(root);
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while (!stack.isEmpty()) {
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current = stack.peek();
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boolean hasChild = (current.left != null || current.right != null);
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boolean isPrevLastChild = (prev == current.right || (prev == current.left && current.right == null));
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if (!hasChild || isPrevLastChild) {
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current = stack.pop();
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visit(current.value);
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prev = current;
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} else {
|
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if (current.right != null) {
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stack.push(current.right);
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}
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if (current.left != null) {
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stack.push(current.left);
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}
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}
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}
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}
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private void visit(int value) {
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System.out.print(" " + value);
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}
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class Node {
|
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int value;
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Node left;
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Node right;
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||||
|
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Node(int value) {
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this.value = value;
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right = null;
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left = null;
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||||
}
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||||
}
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}
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|
@ -1,4 +1,4 @@
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package com.baeldung.graph;
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package com.baeldung.algorithms.dfs;
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import java.util.ArrayList;
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import java.util.HashMap;
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@ -1,194 +1,194 @@
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package com.baeldung.algorithms.string.search;
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import java.math.BigInteger;
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import java.util.Random;
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|
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public class StringSearchAlgorithms {
|
||||
public static long getBiggerPrime(int m) {
|
||||
BigInteger prime = BigInteger.probablePrime(getNumberOfBits(m) + 1, new Random());
|
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return prime.longValue();
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||||
}
|
||||
|
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public static long getLowerPrime(long number) {
|
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BigInteger prime = BigInteger.probablePrime(getNumberOfBits(number) - 1, new Random());
|
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return prime.longValue();
|
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}
|
||||
|
||||
private static int getNumberOfBits(final int number) {
|
||||
return Integer.SIZE - Integer.numberOfLeadingZeros(number);
|
||||
}
|
||||
|
||||
private static int getNumberOfBits(final long number) {
|
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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;
|
||||
}
|
||||
}
|
|
@ -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>
|
|
@ -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));
|
||||
}
|
||||
|
||||
}
|
|
@ -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;
|
||||
}
|
||||
|
||||
}
|
|
@ -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 {
|
|
@ -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;
|
|
@ -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()));
|
||||
}
|
||||
|
||||
}
|
|
@ -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)
|
||||
|
|
2
pom.xml
2
pom.xml
|
@ -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>
|
||||
|
|
Loading…
Reference in New Issue